200 Vector Databases Jobs - Page 2

As an AI Engineer with 3+ years of experience, you will be responsible for developing AI/ML solutions to automate data quality issues, specifically using GenAI libraries. Working in Chandigarh or Bangalore in a Full-Time (Hybrid Mode) position, you will collaborate closely with the AI team to create, optimize, and deploy intelligent applications. Your main responsibilities will include writing clean, efficient, and scalable Python code, handling large data sets for analysis, and automating data quality processes such as normalization, validation, and standardization at scale. You will also build and integrate GenAI-based features, develop APIs, pipelines, and backend services for AI applications, and optimize the performance of AI inference and data workflows. Collaboration with data scientists and frontend teams will be essential to improve data quality using AI technologies. The required skills for this role include strong Python programming skills (minimum 3 years), hands-on experience with GenAI/LLM frameworks, solid knowledge of APIs and web integration for scalable deployments, expertise in data manipulation for quality assurance, and familiarity with prompt engineering and vector databases. Proficiency in version control (Git) and debugging practices is also necessary. Preference will be given to candidates with domain knowledge in Revenue intelligence Accounts and Contacts data, experience with cloud platforms (Azure/AWS), and previous work on chatbots, RAG systems, or multi-agent frameworks. The ideal candidate should be able to join the organization within 1-4 weeks. If you are passionate about leveraging AI technologies to drive data quality automation and are eager to contribute to the development of intelligent applications, this role offers an exciting opportunity to make a meaningful impact.,

You are a dynamic and tech-savvy Pre-Sales Consultant with exceptional deck creation and storytelling skills. Your primary responsibility will be to collaborate with Sales, Product, and Delivery teams in order to understand client needs, shape GenAI-powered solutions, and present them in compelling business terms to enterprise clients. Your main responsibilities include designing and presenting GenAI use cases such as document summarization, knowledge assistants, intelligent search, and content generation. You will be expected to build high-impact decks and demos to effectively communicate value propositions to both technical and non-technical audiences. Collaboration with Data Scientists, Engineers, and Product Managers to scope solutions, and create proposal responses will be crucial. It is essential to stay updated on the latest LLMs, APIs, and tools like OpenAI, LangChain, Anthropic, Hugging Face, etc. Furthermore, you will engage in conducting proof of concept (POC) discussions and mapping customer problems to GenAI capabilities. Supporting go-to-market initiatives, GenAI workshops, and client enablement programs will also be part of your role. To qualify for this position, you should have 5-10 years of experience in Pre-Sales, Solution Consulting, or AI Product roles. A strong understanding of LLMs, RAG architecture, vector databases, and prompt engineering is required. Demonstrated experience with AI/ML use cases, particularly in the NLP/GenAI space, is preferred. You must possess the proven ability to create visually compelling decks and pitch narratives using PowerPoint, Canva, or equivalent tools. Excellent client-facing communication and presentation skills are essential, along with experience working with cross-functional teams and influencing C-level stakeholders. Join Tredence, a pioneering company dedicated to transforming data into actionable insights for Fortune 500 clients across various industries. With a presence in 5 countries and a mission to be the world's most indispensable analytics partner, Tredence combines deep domain expertise with advanced AI and data science to drive unparalleled business value. Embrace this opportunity to be part of an innovative journey at Tredence.,

We are seeking a highly skilled AI/ML Engineer with expertise in AWS AI/ML services and a strong understanding of Generative AI using Amazon Bedrock. The ideal candidate will have experience in building, deploying, and optimizing AI/ML models on AWS, integrating LLMs into applications, and leveraging AWS services for scalable AI solutions. Key Responsibilities Design, develop, and deploy AI/ML models on AWS, leveraging SageMaker, Bedrock, and related services. Build LLM-based applications using Amazon Bedrock and fine-tune models for specific use cases. Implement RAG (Retrieval-Augmented Generation) and integrate vector databases like OpenSearch, Pinecone, or FAISS. Develop scalable, production-ready ML pipelines using AWS services (Lambda, Step Functions, S3, DynamoDB, etc.). Utilize Bedrock, SageMaker, and custom fine-tuned models to deliver business-driven AI solutions. Work with cross-functional teams to integrate ML models into real-world applications. Ensure AI solutions adhere to best practices for security, compliance, and cost optimization. Stay updated with the latest trends in GenAI, prompt engineering, and AI model optimization. Required Skills Strong expertise in AWS AI/ML stack Amazon Bedrock, SageMaker, Lambda, Step Functions, S3, DynamoDB, etc. Experience with Generative AI models (GPT, Claude, Mistral, LLaMA, etc.) and fine-tuning techniques. Hands-on experience in Python, TensorFlow, PyTorch, or Hugging Face. Knowledge of vector databases and embedding models. Experience in building secure and scalable AI applications using AWS. Familiarity with MLOps practices, CI/CD for ML models, and cloud automation. Strong problem-solving skills and ability to work in a fast-paced environment. Good to Have Experience with LangChain, Prompt Engineering, and RAG techniques. Understanding of data governance, AI ethics, and responsible AI practices. Certification in AWS Machine Learning Specialty/ Associate or relevant AI certifications. Relevant Skills vector databases, models, mlops, ml, pytorch, s3, lambda, tensorflow, ci/cd, amazon Show more Show less

About Us Innovation. Sustainability. Productivity. This is how we are Breaking New Ground in our mission to sustainably advance the noble work of farmers and builders everywhere. With a growing global population and increased demands on resources, our products are instrumental to feeding and sheltering the world. From developing products that run on alternative power to productivity-enhancing precision tech, we are delivering solutions that benefit people and they are possible thanks to people like you. If the opportunity to build your skills as part of a collaborative, global team excites you, youre in the right place. Grow a Career. Build a Future! Be part of this company at the forefront of agriculture and construction, that passionately innovates to drive customer efficiency and success. And we know innovation cant happen without collaboration. So, everything we do at CNH Industrial is about reaching new heights as one team, always delivering for the good of our customers. Job Purpose To lead the design, development, and deployment of advanced AI/ML and Generative AI solutions, driving innovation and business value across the organization. This role serves as the technical and strategic leader responsible for shaping AI initiatives, ensuring scalable architecture, and aligning solutions with business objectives. The AI/ML/Gen AI Lead will also manage cross-functional collaboration, effectively communicating with stakeholders to translate complex technical concepts into actionable insights and drive adoption of AI technologies. Must have experience both POC and with Production grade solutions Key Responsibilities ???? Generative AI Leadership Architect And Deploy GenAI Solutions Such As Chatbots and conversational agents Intelligent document processing Code generation and copilots Content summarization, personalization, or generation Customize and fine-tune foundation models (e.g., GPT, LLaMA, Claude, Mistral) for domain-specific use cases. Drive evaluation and integration of GenAI frameworks and tooling (e.g., LangChain, Semantic Kernel, LlamaIndex, Transformers). Implement prompt engineering and retrieval-augmented generation (RAG) pipelines at scale. ???? Technical Strategy & Execution Define and execute the Generative AI roadmap aligned with business goals. Collaborate with product, engineering, and business stakeholders to identify and prioritize GenAI use cases. Lead POCs and pilots to validate ideas before full-scale implementation. Ensure robust, secure, and ethical deployment of GenAI systems, including governance and monitoring. ???? Team Leadership & Mentorship Lead, mentor, and grow a team of AI/ML engineers and researchers. Establish best practices in model development, experimentation, and deployment. Foster a culture of continuous innovation and learning in GenAI. ???? Platform & Infrastructure (Supporting Azure) Deploy and operationalize models using cloud platforms, ideally Azure AI services (OpenAI on Azure, Azure ML, Azure Cognitive Search). Manage GenAI infrastructure (e.g., vector databases, inference endpoints, GPUs) for performance and cost-efficiency. Utilize MLOps practices for model lifecycle management and reproducibility. Experience Required 8+ years of experience in AI/ML, with at least 2+ years in GenAI-specific roles. Proven experience with foundation models (e.g., GPT-4, Claude, LLaMA) and relevant toolsets. Proficiency in Python and AI/ML libraries (e.g., PyTorch, Transformers, Hugging Face). Strong understanding of prompt engineering, RAG, LLMOps, and LLM fine-tuning. Experience with vector databases (e.g., FAISS, Pinecone, Weaviate, Azure AI Search). Familiarity with enterprise AI integration (APIs, plugins, cloud deployment). Preferred Qualifications Bachelors or Masters degree in Computer Science, Machine Learning, AI, or a related field (PhD preferred). What We Offer We offer dynamic career opportunities across an international landscape. As an equal opportunity employer, we are committed to delivering value for all our employees and fostering a culture of respect. Benefits At CNH, we understand that the best solutions come from the diverse experiences and skills of our people. Here, you will be empowered to grow your career, to follow your passion, and help build a better future. To support our employees, we offer regional comprehensive benefits, including: Flexible work arrangements Savings & Retirement benefits Tuition reimbursement Parental leave Adoption assistance Fertility & Family building support Employee Assistance Programs Charitable contribution matching and Volunteer Time Off Apply now Share This Job Show more Show less

Are you ready to move beyond theory and build the future of Artificial Intelligence Join Splashgain's R&D team as an AI Engineer Intern and embark on a groundbreaking journey. This internship is not just about observation; it's a deep-dive, immersive program where you will play a vital role in foundational projects related to Generative AI. Your mission will involve exploring the frontiers of Large Language Models (LLMs) and developing autonomous AI agents to tackle complex problems with elegant AI-driven solutions. As an AI Engineer Intern at Splashgain, your day-to-day responsibilities will include building AI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral. You will also be tasked with developing chatbots, AI agents, and document analyzers, working with RAG, vector databases, and prompt engineering, as well as utilizing frameworks like LangChain, LlamaIndex, and CrewAI. Additionally, you will evaluate and optimize AI models for production and collaborate with product teams on real-world projects. Splashgain Technology Solutions Private Limited is an award-winning software product company operating in the ed-tech sector. Our innovative software platforms have garnered recognition and are widely utilized by various organizations and educational institutions. Join us in shaping the future of AI and making a meaningful impact in the field of technology.,

Skyclad Ventures is an engineering-led startup builder, operating at the forefront of AI, IoT, mobility, and intelligent systems. The company collaborates with exceptional founders and teams to transform ideas into reality, developing software and hardware solutions that address real-world challenges. Projects undertaken by Skyclad Ventures encompass AI-powered mobility, document intelligence, property tech, and computer vision, with a primary focus on swiftly bringing innovative concepts to the market. At Skyclad Ventures, we embrace a high-speed startup lab approach characterized by small teams, significant impact, and rapid iteration cycles. If you are passionate about tackling complex problems, delivering products promptly, and gaining insights from seasoned founders and senior engineers with a track record of building and scaling global products, you will find a welcoming environment here. In this role, you will be involved in various tasks, including building and refining AI models for computer vision, speech recognition, and retrieval-augmented generation (RAG). Additionally, you will implement and integrate YOLO-based object detection pipelines for real-time applications, perform data labeling using tools like Roboflow to create top-tier datasets, experiment with speech-to-text models, participate in the development of RAG-based systems for intelligent document search and conversational AI, collaborate with full-stack engineers to incorporate AI models into MERN stack applications, and engage in researching, prototyping, and optimizing AI pipelines for enhanced performance, scalability, and accuracy. The ideal candidate for this role should possess strong Python programming skills, hands-on experience with the MERN stack (MongoDB, Express, React, Node.js), familiarity with YOLO object detection models, proficiency in data labeling tools like Roboflow, knowledge of speech-to-text models, exposure to RAG pipelines utilizing vector databases and LLMs, and the ability to thrive in a startup-like environment characterized by proactiveness, fast learning, and adaptability. Desirable skills include experience with vector databases (Pinecone, Weaviate, FAISS), familiarity with LangChain or similar frameworks, knowledge of cloud platforms (AWS, GCP, Azure) for AI deployment, and previous participation in AI/ML hackathons or startup projects. Joining Skyclad Ventures offers the opportunity to work closely with founders and senior engineers on cutting-edge AI initiatives, gain firsthand experience in product development from conception to deployment, enjoy a flexible work culture with substantial project ownership, and potentially receive a post-placement offer based on performance, enabling you to grow alongside the company as it expands. Duration of the position: 36 months (with potential for extension) Stipend: Competitive, with performance-based incentives and the possibility of full-time conversion.,

About Cognite Embark on a transformative journey with Cognite, a global SaaS forerunner in leveraging AI and data to unravel complex business challenges through our cutting-edge offerings including Cognite Atlas AI, an industrial agent workbench, and the Cognite Data Fusion (CDF) platform. We were awarded the 2022 Technology Innovation Leader for Global Digital Industrial Platforms & Cognite was recognized as 2024 Microsoft Energy and Resources Partner of the Year. In the realm of industrial digital transformation, we stand at the forefront, reshaping the future of Oil & Gas, Chemicals, Pharma and other Manufacturing and Energy sectors. Join us in this venture where AI and data meet ingenuity, and together, we forge the path to a smarter, more connected industrial future. Learn More About Cognite Here Cognite Product Tour 2024 Cognite Product Tour 2023 Data Contextualization Masterclass 2023 Our values Impact : Cogniters strive to make an impact in all that they do. We are result-oriented, always asking ourselves. Ownership : Cogniters embrace a culture of ownership. We go beyond our comfort zones to contribute to the greater good, fostering inclusivity and sharing responsibilities for challenges and success. Relentless : Cogniters are relentless in their pursuit of innovation. We are determined and deliverable (never ruthless or reckless), facing challenges head-on and viewing setbacks as opportunities for growth. Agent framework architecture and development The Industry Innovation and Solutions Team enriches and augments Cognite products and platforms by developing pathways to product by creating innovative solutions, repeatable templates, and frameworks. The team comprises cross-functional and cross-technology experts responsible for delivering advanced domain and technology advisory services that drive the success of customer engagements. This team plays a pivotal role in landing initial offerings and integrating Cognite Products with tailored services, ensuring that our solutions meet the evolving needs of our clients and driving customer success. The team maintains a keen awareness of the competitive and partnering ecosystem, providing strategic insights that address key business and technical challenges our customers face. The team is deeply involved in programs to improve operational efficiency, repeatability, and scalability. Software Engineers within the team develop software components, implement Cognite software and products and enable our delivery resources to execute projects more effectively, thereby enhancing the overall success of our engagements. We are seeking a highly skilled and innovative Software engineer with expertise in Generative AI and associated technologies to join our team in Bangalore. In this role, you will be responsible with a strong emphasis on designing, developing, and implementing cutting-edge generative AI solutions that drive business innovation and enhance customer experiences. for developing a cutting-edge multi-agent framework based solution built on top of our Cognite Data Fusion and Cognite Atlas AI and additional ecosystem advanced AI technologies. This role will enable our clients to deploy intelligent agents that can autonomously interact with, manage, and optimize complex industrial processes by leveraging the power of knowledge graphs, AI, and evolutionary algorithms. The ideal candidate will have deep expertise in AI agents, multi-agent systems, and a wide range of generative AI technologies and frameworks. As a Software Engineer, you will collaborate closely with cross-functional teams to understand business requirements, translate them into technical specifications, and architect scalable AI solutions that integrate seamlessly with existing systems. You will collaborate with Product, Global Customer Success and Sales to drive the development of AI frameworks, and tools, focusing on generative AI, AI agents, and the latest AI technologies. Additionally, you will provide technical leadership, mentor software engineers, and stay ahead of the latest trends in AI to ensure our solutions remain at the forefront of the industry. Your contributions will be critical in developing AI agents that can autonomously execute tasks, adapt to changing environments, and interact effectively with users and other systems, leveraging the latest advancements in AI & generative AI. A typical day as a Cogniter will contain the following tasks & responsibilities As a Software Engineer, you will collaborate with solutions architects and global delivery teams to develop solutions and applications on Cognite products and platform Integrations are well thought out and robust Important quality criteria for the solution are met (E.g. CI/CD, logging, security) Develop technology components in alignment with the overall technical solution and ensure technical fit within the customer ecosystem and target architecture Design integration and data model using Cognite data connectors, Cognite platform components, SQL, Python/Java and Rest APIs Design, develop, and implement generative AI solutions with a strong focus on AI agents, multi-agent systems, and the latest generative AI technologies to drive business innovation and enhance customer experiences. Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications for generative AI solutions. In collaboration with Solutions architects, develop scalable AI solutions, including AI agents, that integrate seamlessly with existing systems and leverage cutting-edge technologies. Develop and deploy AI agents capable of autonomous task execution, environment adaptation, and effective interaction with users and systems, utilizing the latest generative AI frameworks and models. Vector Database Proficiency: Knowledge of vector databases like Pinecone, Milvus, Weaviate, or Faiss, including their architecture and use cases. Vector Embedding Creation: Experience in generating vector embeddings from textual, visual, or other data using common industry models. Skills in creating, managing, and optimizing indexes for efficient similarity search within vector databases, including knowledge of ANN search algorithms. Data Ingestion and Querying: Proficiency in ingesting large datasets into vector databases and writing optimized queries for complex similarity searches. Scaling and Performance Tuning: Ability to scale vector databases to handle large datasets and optimize search performance through resource management and index tuning. Document Retrieval and Prompt Engineering: Skills in designing effective document retrieval strategies and crafting prompts that leverage retrieved documents in the generation process. Data Pipeline and Deployment: Expertise in managing data pipelines for RAG systems, from ingestion to retrieval and generation, and deploying RAG systems at scale. We Believe Most Of These Should Match Your Experience 2 to 5+ years of experience in software engineering, with a focus of at least 2+ years in AI and 1+ years on Generative AI, machine learning, or intelligent systems. Proven experience in developing and deploying multi-agent systems, preferably using frameworks like LangChain. (Mandatory experience) Experience with knowledge graphs, graph databases, or related technologies. RAG Architecture Understanding: In-depth knowledge of Retrieval-Augmented Generation (RAG) systems, integrating retrieval with generative models to produce informed responses. Model Integration and Fine-Tuning: Experience in integrating and fine-tuning pre-trained models with retrieval systems in RAG pipelines for enhanced performance Proficiency in Python, JavaScript, or other relevant programming languages. Deep understanding of multi-agent frameworks, including agent communication, decision-making, and learning strategies. Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker, Kubernetes). Experience with API development and integration. Strong problem-solving skills and the ability to think critically about complex systems. Excellent communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Ability to work in a fast-paced, collaborative environment and manage multiple priorities. Experience in the industrial sector or with industrial data. (Not mandatory) Knowledge of big data technologies (e.g., Hadoop, Spark) and real-time processing frameworks. Data Handling and Storage: Proficiency in reading and writing data in various formats (CSV, JSON, SQL) and using storage tools like SQLite and SQL databases. Join the global Cognite community! ???? Join an organization of 70 different nationalities ???? with Diversity, Equality and Inclusion (DEI) in focus ???? Office location Rathi Legacy (Rohan Tech Park ) Hoodi (Bengaluru) A highly modern and fun working environment with sublime culture across the organization, follow us on Instagram @ cognitedata ???? to know more Flat structure with direct access to decision-makers, with minimal amount of bureaucracy Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries Join our HUB ????? to be part of the conversation directly with Cogniters and our partners. Hybrid work environment globally Why choose Cognite ???? ???? Join us in making a real and lasting impact in one of the most exciting and fastest-growing new software companies in the world. We have repeatedly demonstrated that digital transformation, when anchored on strong DataOps, drives business value and sustainability for clients and allows front-line workers, as well as domain experts, to make better decisions every single day. We were recognized as one of CNBC&aposs top global enterprise technology startups powering digital transformation ! And just recently, Frost & Sullivan named Cognite a Technology Innovation Leader ! ???? Most recently Cognite Data Fusion Achieved Industry First DNV Compliance for Digital Twins ???? Apply today! If you&aposre excited about the opportunity to work at Cognite and make a difference in the tech industry, we encourage you to apply today! We welcome candidates of all backgrounds and identities to join our team. We encourage you to follow us on Cognite LinkedIn ; we post all our openings there. Show more Show less

As an AI/ML Data Scientist with 3+ years of experience, you will be responsible for utilizing your strong proficiency in Python to develop and implement cutting-edge Machine Learning algorithms. Your solid understanding of Machine Learning concepts will be crucial in creating models for various applications. Additionally, you will have experience with FastAPI/Flask for building efficient APIs. Your expertise in SQL and data querying will be essential for model training and analysis. You will also leverage your experience with OpenAI Models or other Large Language Models (LLMs) to enhance the performance of AI systems. In this role, preferred skills include knowledge of Agentic AI Frameworks such as LangChain and AutoGen. Experience working with embeddings, vector databases (e.g., FAISS, Pinecone, Chroma), and LLM-based architecture and workflows will be advantageous. This position is based in Bangalore, Delhi NCR, or Pune, and requires immediate joiners. If you are passionate about AI and Machine Learning and thrive in a dynamic environment, we look forward to receiving your application.,

As a Data Science Manager, you will be responsible for implementing the complete analytical section of the product based on the defined functional scope. This includes extracting, collating, and cleansing data from various entities, identifying suitable databases for data storage, and implementing industry-standard statistical models with Machine Learning and Deep Learning algorithms. You will be expected to identify meaningful insights from data sources, interpret findings, and communicate them to the product manager to derive business strategies. In this role, you will visualize various dimensions of data for web and mobile platforms, showcase output through demos and prototypes, and continuously refine models for accuracy. You will also analyze trends in Data Sciences, Machine Learning, Artificial Intelligence, and Augmented Intelligence, and apply the learnings to the product. Ensuring Quality, Security, Performance, Scalability, Reliability, and Availability are key factors in the implementation of the analytics system will be crucial. Your qualifications should include a Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related quantitative field, along with 5-7 years of experience in data science. Proficiency in statistical modeling, machine learning, deep learning algorithms, Python or R programming languages, and experience with SQL/NoSQL databases and big data technologies are essential. Familiarity with data visualization tools and experience with Large Language Models (LLMs), Retrieval Augmented Generation (RAG) pipelines, and vector databases would be highly desirable. Excellent communication and interpersonal skills are required to interpret and present complex data insights to non-technical stakeholders. You should have the ability to work independently and collaboratively in a fast-paced environment. Experience in the banking domain would be an added advantage. Stay up-to-date with advancements in AI, including emerging LLM architectures and agentic AI frameworks and technologies to enhance your performance in this role.,

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of yourself. We are counting on your unique voice and perspective to help EY become even better. Join us and build an exceptional experience for yourself, and a better working world for all. EY's GDS Tax Technology team's mission is to develop, implement, and integrate technology solutions that better serve our clients and engagement teams. As a member of EY's core Tax practice, you will develop a deep tax technical knowledge and outstanding database, data analytics, and programming skills. The ever-increasing regulations require tax departments to gather, organize, and study more data than ever before. Handling the variety and volume of data efficiently and effectively is often extremely challenging and time-consuming for a company. EY's GDS Tax Technology team members work closely with the firm's partners, clients, and tax technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies, and enable clients with disruptive and market-leading tools supporting Tax. EY is currently seeking a Generative AI Application Developer (.NET) to join our Tax Technology practice in Bangalore & Kolkata, India. **The Opportunity:** We are looking for Tax Seniors with expertise in Full-stack Application Development using .NET C# for Generative AI applications to join the TTT team in Tax Service Line. This is a fantastic opportunity to be part of a pioneer firm while being instrumental in the growth of a new service offering. **Your Key Responsibilities:** - Design, develop, and implement AI agents/plugins/interfaces and APIs, ensuring integration with various systems aligns with the core product/platform development strategy. - Estimate and manage technical efforts, including work breakdown structures, risks, and solutions, while adhering to development methodologies and KPIs. - Maintain effective communication within the team and with stakeholders, proactively managing expectations and collaborating on problem-solving. - Contribute to the refinement of development/engineering methodologies and standards, anticipating potential issues and leading the resolution process. **Skills and Attributes for Success:** **Must-Have:** - Skilled in full-stack application development with .NET C#, REST Api, React, or any other typescript-based UI frameworks, SQL databases. - Advanced knowledge of Azure services such as Azure app services, Azure Functions, Entra ID, etc. - Containerization - Docker, Azure container apps, Azure Kubernetes Services (AKS). - No-SQL database such as Cosmos or MongoDB. - Working experience with source control such as git or TFVC. - CI/CD pipelines, Azure DevOps, GitHub Actions, etc. - Generative AI application development with Azure OpenAI, Semantic Kernel, and Vector databases like Azure AI search, Postgres, etc. - Fundamental understanding of various types of Large Language Models (LLMs). - Fundamental understanding of Retrieval Augment Generation (RAG) techniques. - Fundamental understanding of classical AI/ML. - Skilled in Advanced prompt engineering. **Nice-to-Have:** - Awareness about various AI Agents/Agentic workflow frameworks and SDKs. - Graph Database such as Neo4j. - Experience with M365 Copilot Studio. - Microsoft Azure AI-900/AI-102 Certification. **Behavioural Skills:** - Excellent learning ability. - Strong communication skills. - Flexibility to work both independently and as part of a larger team. - Strong analytical skills and attention to detail. - The ability to adapt your work style to work with both internal and client team members. **To qualify for the role, you must have:** - Bachelor's/master's degree in software engineering/information technology/BE/B.TECH. - Overall 5-9 years of experience. **Ideally, you'll also have:** - Thorough knowledge of Tax or Finance Domain. - Strong analytical skills and attention to detail. EY offers a dynamic and truly global delivery network with opportunities to work with well-known brands from across the globe. You will collaborate with EY teams on exciting projects, develop your skills and insights, and be a part of a diverse and inclusive culture where you can make a meaningful impact your way. EY is committed to building a better working world by creating long-term value for clients, people, and society and building trust in the capital markets. Join us on this journey to ask better questions and find new answers to the complex issues facing our world today.,

You should have a minimum of 4 years of experience for this role. Your key responsibilities will include proficiency in Python (preferred), along with a working knowledge of TypeScript/Node.js, Go, or Java. You should have hands-on experience in developing REST APIs, GraphQL endpoints, and/or gRPC-based services. It is expected that you are familiar with integrating LLMs like GPT-4, Claude, Gemini, Mistral, or LLaMA. Additionally, exposure to frameworks such as LangChain, LlamaIndex, or CrewAI is desirable. A basic understanding of vector databases and semantic search tools (e.g., FAISS, Pinecone) is also required. Moreover, experience working in cloud environments (AWS, GCP, Azure) and with containerization tools (Docker, Kubernetes) is essential for this role. Ideally, you should have backend or full-stack development experience, with a focus on working with Generative or Agentic AI solutions.,

As a Generative AI Lead, you will be responsible for spearheading the design, development, and implementation of cutting-edge GenAI solutions within enterprise-grade applications. Your role will encompass leveraging your expertise in Large Language Models (LLMs), prompt engineering, and scalable AI system architecture, coupled with hands-on experience in MLOps, cloud technologies, and data engineering. Your primary responsibilities will include designing and deploying scalable and secure GenAI solutions utilizing LLMs such as GPT, Claude, LLaMA, or Mistral. You will lead the architecture of Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, Weaviate, FAISS, or ElasticSearch. Additionally, you will be involved in prompt engineering, evaluation frameworks, and collaborating with cross-functional teams to integrate GenAI into existing workflows and applications. Moreover, you will develop reusable GenAI modules for various functions like summarization, Q&A bots, and document chat, while leveraging cloud-native platforms such as AWS Bedrock, Azure OpenAI, and Vertex AI for deployment and optimization. You will ensure robust monitoring and observability across GenAI deployments and apply MLOps practices for CI/CD, model versioning, validation, and research into emerging GenAI trends. To be successful in this role, you must possess at least 8 years of overall AI/ML experience, with a focus of at least 3 years on LLMs/GenAI. Strong programming skills in Python and proficiency in cloud platforms like AWS, Azure, and GCP are essential. You should also have experience in designing and deploying RAG pipelines, summarization engines, and chat-based applications, along with familiarity with MLOps tools and evaluation metrics for GenAI systems. Preferred qualifications include experience with fine-tuning open-source LLMs, knowledge of multi-modal AI, familiarity with domain-specific LLMs, and a track record of published work or contributions in the GenAI field. In summary, as a Generative AI Lead, you will play a pivotal role in driving innovation and excellence in the development and deployment of advanced GenAI solutions, making a significant impact on enterprise applications and workflows.,

You should have 6 to 8 years of experience in the field. This position is based in Hyderabad, Indore, and Ahmedabad, and requires you to work from the office. The maximum joining time is 2 months. It is essential for you to have at least 2 years of experience in a lead role. A bachelor's or master's degree in computer science, engineering, data science, mathematics, statistics, or related fields is required. You must possess a minimum of 5 years of professional experience in AI/Machine Learning engineering. Proficiency in programming languages such as Python and Java is necessary. Demonstrated hands-on experience in building Retrieval-Augmented Generation (RAG)-based chatbots or similar generative AI applications is a must. A strong command of cloud platforms, especially AWS, is preferred. Experience with EC2, Lambda, SageMaker, DynamoDB, CloudWatch, and API Gateway is desired. A solid grasp of AI methodologies, including natural language processing (NLP), vector databases, embedding models, and large language model integrations, is expected. Prior experience in leading projects or teams, managing technical deliverables, and ensuring high-quality outcomes will be an advantage. AWS certifications such as AWS Solutions Architect and AWS Ma are preferred qualifications for this role.,

7+ years of experience as a Business Analyst or Product Analyst, with at least 2 years in AI/ML or Generative AI-related initiatives. 5+ Yrs experience in Data Science (Python) Proven experience in the Asset and Wealth Management industry (e.g., portfolio management, compliance, AML, KYC, client onboarding, investment advisory). Familiarity with AI tools, frameworks, and platforms (e.g., OpenAI GPT, Azure OpenAI, Hugging Face, LangChain, etc.). Strong understanding of AI concepts such as NLP, machine learning pipelines, LLM fine-tuning, embeddings, and vector databases. Ability to write detailed BRDs, PRDs, and user stories with technical depth. Experience working in Agile/Scrum environments. Proficiency in SQL, Excel, and at least one data visualization or analysis tool (e.g., Power BI, Tableau, Jupyter Notebooks). Excellent communication skills with both technical and non-technical stakeholders. Show more Show less

You will be a key member of our team as a Software Engineer specializing in AI. Your role will involve working at the cutting-edge intersection of advanced AI technologies and robust backend systems. We are seeking an individual with a strong background in Python development and a keen interest in creating scalable GenAI applications. Your primary responsibilities will revolve around designing, developing, and deploying backend services that support AI-driven systems and user experiences with a focus on LLM-based technologies. Your main tasks will include designing and implementing GenAI pipelines such as LLM orchestration, RAG, and multi-agent workflows using frameworks like LangChain, Agno, LlamaIndex, ReAct, AutoGen, or CrewAI. You will also be responsible for building and maintaining Python backend services utilizing FastAPI or Flask, creating APIs and microservices to expose LLM capabilities, integrating external data sources into AI workflows, and managing model selection, fine-tuning, and optimization for production use. Additionally, you will collaborate closely with product and design teams to translate user requirements into backend AI features. It would be advantageous if you have experience or interest in frontend technologies like React, Next.js, or Vue, as well as deploying applications in cloud environments using tools such as Docker, Kubernetes, and CI/CD pipelines. Familiarity with authentication systems, API gateways, and basic DevOps workflows is also a plus. Exposure to Python libraries for ML/AI such as Transformers, scikit-learn, PyTorch, and TensorFlow would be beneficial. To excel in this role, you should possess at least 4 years of professional experience in Python backend development and machine learning. Experience in building and deploying GenAI applications using LLMs and related orchestration frameworks is essential. A strong understanding of RESTful API design, backend architecture, vector databases, and FastAPI or Flask for production-grade services is required. Additionally, you should have a solid grasp of software engineering principles, testing methodologies, version control practices, and deployment procedures. A proactive mindset and the ability to thrive in dynamic environments are highly valued traits. We value individuals who exhibit ownership, pragmatism, curiosity, and collaboration. Ownership entails taking full responsibility for your work and outcomes, while pragmatism involves balancing innovation with reliability and scalability. Curiosity drives continuous learning and experimentation with new AI tools and trends, while collaboration fosters effective cross-disciplinary teamwork and clear communication. This position is offered as Contract-to-Hire, with the potential for full-time conversion based on your performance and fit within the team.,

At InfoBeans, we believe in making other people's lives better through our work and everyday interactions. As an AI ML Lead based in Indore/Pune with over 10 years of experience in Artificial Intelligence, your role will involve designing AI solutions using both traditional ML and GenAI approaches based on problem needs. You will lead the end-to-end implementation of ML projects, including data preparation, model development, deployment, and monitoring. Additionally, you will be responsible for building GenAI-based applications using LLMs, embeddings, and multi-step reasoning frameworks like LangChain and LangGraph. Your responsibilities will also include conducting research and proof-of-concepts to evaluate emerging GenAI models and techniques, guiding and mentoring junior engineers, and reviewing designs, architecture, and code quality. You will develop fine-tuned and instruction-tuned LLMs using platforms like Hugging Face, OpenAI, and Cohere, and build agentic AI systems involving tool use, memory, and reasoning frameworks. Furthermore, you will ensure that AI models are robust, explainable, and cost-efficient in production and collaborate with stakeholders to understand business goals and translate them into technical solutions. Communication of complex AI concepts to both technical and non-technical audiences is also a key aspect of this role. This strategic position will allow you to play a crucial part in shaping the AI offerings of the company, guiding teams, and solving complex problems using both modern and established AI techniques. In this role, you will enjoy a competitive package and work in an open workspace surrounded by smart and pragmatic team members. You will have ample opportunities for professional and personal growth in a learning culture that values teamwork, collaboration, diversity, excellence, compassion, openness, and ownership. To excel in this role, we are looking for an experienced AI/ML Engineer with a strong background in both traditional Machine Learning and Generative AI. You should have extensive experience in classical AI/ML and at least 3 years in GenAI, totaling 10 years of experience with the ability to design, research, and build scalable AI solutions across domains. Your expertise should include 6-7 years in traditional ML/DL and 2-3 years in Generative AI. Proficiency with Python, scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers is essential, along with an understanding of the ML lifecycle and deep experience with LLMs and related tools. Strong communication, presentation skills, and a research mindset are also important for this role. If you possess the ability to quickly learn and adapt to new GenAI technologies, assess trade-offs between classic and generative AI techniques, and recommend the best-fit approach, we would like you to join our team and contribute to our AI initiatives.,

The Nasdaq Corporate Platform is seeking a dedicated Test Automation Specialist (AI) with expertise in software testing for AI based products to join the Bangalore technology center in India. If you are driven by innovation and effectiveness, this opportunity is perfect for you! As a Test Automation Specialist (AI), you will be instrumental in delivering complex technical systems to customers and exploring new technologies within the FinTech industry. Your role will involve testing, developing test strategies, and executing tests for AI based products related to Investor Relations and Sustainable Lens Software Products. Joining the engineering team in Bangalore, you will collaborate with a group of passionate professionals to build innovative IR and ESG solutions for corporates. Your responsibilities will include enhancing products, supporting rearchitecture, and adopting new software paradigms. Key Responsibilities: - Design and implement automated testing frameworks for generative AI models - Create testing strategies to validate AI-generated content quality, coherence, and safety - Collaborate with AI researchers, data scientists, and product developers - Develop tools for generating diverse test data sets and simulating real-world AI scenarios - Implement automated tests for engineering processes and model versioning - Analyze test results and provide detailed reports on model performance and improvements Qualifications: - Bachelor's or Master's degree in Computer Science, AI/ML, or related field - 2-4 years of experience in software test automation, with a focus on AI/ML systems - Proficiency in Python programming - Strong understanding of AI/ML algorithms and testing tools - Experience in AI-driven application testing and model performance validation Preferred Qualifications: - Experience with cloud platforms like AWS for AI deployment - Knowledge of containerization tools such as Docker and Kubernetes - Familiarity with vector databases At Nasdaq, we foster a culture of innovation and empowerment, where individuals are encouraged to challenge the status quo and take intelligent risks. We value diversity and strive to create a supportive and connected work environment. If you are passionate about technology and ready to make an impact, we invite you to apply for this exciting opportunity. Please submit your application in English at your earliest convenience, as the selection process is ongoing. We look forward to connecting with you within 2-3 weeks. Nasdaq is a global leader in trading, exchange technology, and public company services, with a commitment to innovation and excellence. Join us on our mission to reshape tomorrow's markets and drive positive change in the world of finance.,

About the Role: --------------------- We are looking for 3-5 years of experience, forward-thinking LLMOps Engineers to join our team and help build the next generation of secure, scalable, and responsible Generative AI (GenAI) platforms. This role will focus on establishing monitoring, governance, security, and operational best practices while enabling development teams to build high-performing GenAI applications. You will also work closely with GenAI agents and integrate LLMs from multiple providers to support diverse use cases. Key Responsibilities: ------------------------- Design and implement governance frameworks for GenAI platforms, ensuring compliance with internal policies and external regulations (e.g., GDPR, AI Act). Define and enforce responsible AI practices including fairness, transparency, explainability, and auditability. Implement robust security protocols including IAM, data encryption, secure API access, and model sandboxing. Collaborate with security teams to conduct risk assessments and ensure secure deployment of LLMs. Build and maintain scalable LLMOps pipelines for model training, fine-tuning, evaluation, deployment, and monitoring. Automate model lifecycle management with CI/CD, versioning, rollback, and observability. Develop and manage GenAI agents capable of reasoning, planning, and tool use. Integrate and orchestrate LLMs from multiple providers (e.g., OpenAI, Anthropic, Cohere, Google, Azure OpenAI) to support hybrid and fallback strategies. Optimize prompt engineering, context management, and agent memory for production use. Ensure high availability, low latency, and cost-efficiency of GenAI workloads across cloud and hybrid environments. Implement monitoring and alerting for model drift, hallucinations, and performance degradation. Partner with GenAI developers to embed best practices and reusable components (SDKs, templates, APIs). Provide technical guidance and documentation to accelerate development and ensure platform consistency. Qualifications: ------------------ Bachelors or Masters degree in Computer Science, Engineering, or related field. 3-5 years of experience in MLOps, DevOps, or platform engineering, with 2+ years in LLM/GenAI environments. Deep understanding of LLMs, GenAI agents, prompt engineering, and inference optimization. Experience with LangChain, LlamaIndex, Langraph or similar agent frameworks. Hands-on with MLflow, or equivalent tools. Proficient in Python, containerization (Docker) and cloud platforms (AWS/GCP/Azure). Familiarity with AI governance frameworks and responsible AI principles. Experience with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and model evaluation frameworks. Knowledge of Responsible AI, red-teaming, and OWASP security principles. Joining: ---------- We must fill this position urgently. Candidates who can start within 2 weeks will be our priority. Location: ----------- Bangalore Hybrid Show more Show less

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative, and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Your Role: - Design and develop generative AI-based multi-agent systems that can collaborate, communicate, and coordinate to achieve complex objectives. - Architect and implement RAG-based chatbot solutions that effectively leverage knowledge bases and external data sources. - Create sophisticated prompt engineering strategies to optimize AI agent behavior and inter-agent communication. - Build, train, and fine-tune generative AI models for various applications within multi-agent systems. - Develop robust evaluation frameworks to measure and improve multi-agent system performance. Your Profile: - 4+ years of professional experience in data science or machine learning engineering. - Extensive experience with Python programming and related data science/ML libraries. - Demonstrated expertise in developing and deploying generative AI models (e.g., LLMs, diffusion models). - Proven experience building RAG-based systems and implementing vector databases. - Strong background in prompt engineering for large language models. What You'll Love About Working Here: We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work-life balance. Skills (Competencies): Capgemini is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. With a responsible and diverse group of 340,000 team members in more than 50 countries, Capgemini, with its strong over 55-year heritage, is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market-leading capabilities in AI, generative AI, cloud, and data, combined with its deep industry expertise and partner ecosystem.,

As a Lead AI Engineer at Opkey, you will be at the forefront of disrupting the ERP transformation testing space with our AI-powered No Code Testing platform for Enterprise business applications. With our headquarters in Dublin, California, and additional offices in Pittsburgh, NYC, and India, we are a fast-growing VC-backed company trusted by 250+ enterprise customers, including GAP, Pfizer, and KPMG. Join our team and be a part of the test automation market that is estimated to reach $50 billion by 2026. Your role will involve architecting, building, and deploying AI/ML models for SaaS products at scale. You will lead the end-to-end lifecycle of AI projects, collaborate with cross-functional teams, and integrate AI capabilities into our next-generation platforms. Embrace the opportunity to define and uphold best practices in AI model development, MLOps, and scalable deployment while mentoring a team of AI/ML engineers. As a seasoned professional with 10-12 years of experience in AI/ML engineering within SaaS and product-based environments, you will bring expertise in Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, and Generative AI. Your hands-on experience with frameworks like TensorFlow, PyTorch, and Hugging Face Transformers will be invaluable in designing scalable AI architectures and deploying models in production environments. Your strong programming skills in Python, along with familiarity with languages like Java, Go, or Scala, will be essential as you navigate ambiguous technical challenges and drive innovative AI solutions. Stay abreast of advancements in AI, contribute thought leadership internally and externally, and partner with stakeholders to define AI strategies aligned with overall technology roadmaps and business objectives. Preferred qualifications include a Masters or Ph.D. in Computer Science, Machine Learning, Data Science, or a related field, experience in Go-to-Market Strategy for AI-powered products, and contributions to open-source AI projects or published research papers. If you have experience integrating AI into customer-facing SaaS products with measurable outcomes, this could be an exciting opportunity for you to make a significant impact. Join Opkey as we revolutionize the world of AI-powered testing and be part of a dynamic team driving innovation and excellence in the AI space.,

As a Technical Lead Backend at Habuild, you will play a key role in leading the architecture, design, and implementation of backend systems that cater to millions of users. You will have a hands-on approach working with the codebase, guiding engineers, and ensuring that our backend infrastructure is scalable, high-performing, and future-proof. Your responsibilities will include owning and driving the technical roadmap for core backend systems, architecting and developing scalable microservices using FastAPI, optimizing asynchronous workflows for efficient API calls, integrating with vector databases and AI/ML APIs, and providing guidance on system architecture, database schema, and service orchestration. You will be responsible for setting coding standards, conducting code reviews, mentoring engineers, and fostering a culture of engineering excellence within the team. To excel in this role, you are required to have at least 6 years of backend development experience with a minimum of 3 years specifically in Python. Proficiency in FastAPI and async programming, solid knowledge of PostgreSQL and vector databases, experience with LLM APIs, and expertise in microservices architecture and API design are essential. Additionally, familiarity with real-time communication protocols, Docker, CI/CD pipelines, and cloud deployment is necessary. Your proven leadership skills, innovative mindset, and track record of exploring new technologies will be highly valued. Joining us at Habuild means being part of a mission-driven company that is dedicated to transforming lives every day. You will have the opportunity to work on critical systems, be surrounded by passionate individuals, enjoy a high-ownership culture, and benefit from a flexible work model that emphasizes continuous learning and experimentation. Together, we can build something extraordinary.,

We are searching for an experienced Senior ML/Back-End Engineer who possesses a solid foundation in cloud architecture, AI/ML systems, and large-scale distributed applications. Your role will involve collaborating with data scientists, engineers, and business stakeholders to create, deploy, and manage production-grade AI/ML solutions essential for mission-critical systems. As a Senior Engineer, you will oversee the end-to-end architecture, development, and optimization of ML-enabled platforms. Additionally, you will lead key initiatives, mentor team members, and promote best practices throughout the organization. Requirements: - Hold an MS or PhD in Computer Science or a related field - Possess 5 to 10 years of industry experience as a Back-End Engineer, ML Engineer, or Research Engineer - Demonstrate deep functional knowledge and hands-on experience with technologies such as AWS or GCP cloud services, RESTful Web Services, and Containerization (Docker, ECS, Kubernetes) - Familiarity with modern AI tools like LLMs, Embedding models, and vector databases - Experience with AI/ML Ops tools and platforms (e.g. AWS Bedrock, GCP Vertex AI, Databricks) - Understanding of basic Data Science concepts - Proficiency in architecting and implementing large-scale, highly integrated, distributed user-facing applications and tools - Experience with version control tools like Git - Ability to implement a resilient web architecture - Strong background in building web products from end to end, with a deep understanding of web principles and best practices - Experience in building AI applications or familiarity with Machine Learning and Deep Learning concepts - Knowledge or experience in time series analysis - Advanced Data Science skills, including familiarity with financial datasets and fine-tuning ML/DL models - Capable of working on a hybrid model, commuting 3 days a week to an office in Bangalore Job Responsibilities: - Collaborate with an agile scrum team, demonstrating progress through proof of concept, sandboxing, and prototyping - Architect and design scalable, maintainable, secure, and reusable strategic solutions - Deploy, monitor, and manage ML models in production environments using MLOps best practices - Work closely with data scientists to transition models from development to production efficiently - Optimize ML models and infrastructure for efficiency, scalability, and cost-effectiveness - Design and implement frameworks and tools to empower other developers and non-technical colleagues - Estimate timelines, perform task breakdown, scoping, design, and implementation for mid-to-large scale products and complex multi-month deliverables - Lead key team initiatives by managing and improving the entire software development life cycle - Identify opportunities to enhance quality and efficiency from initial ideation to deployment - Communicate progress, share knowledge, and evangelize best practices across multiple groups - Conduct code reviews for peers, contributing to collaborative working models - Recommend approaches to solving complex problems using new technologies to achieve goals - Own, deploy, monitor, and operate large-scale production systems distributed globally - Lead and mentor junior engineers in building production-grade systems and applications that scale and perform - Serve as a technical liaison to business teams, translating business needs into technical solutions What we offer: At GlobalLogic, we prioritize a culture of caring, continuous learning and development, interesting and meaningful work, balance and flexibility, and a high-trust organization. By joining our team, you will experience an inclusive culture, have opportunities for personal and professional growth, engage in impactful projects, achieve work-life balance, and be part of a high-trust global company committed to integrity and trust. About GlobalLogic: GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner renowned for collaborating with the world's largest companies to create innovative digital products and experiences. Since 2000, we have been driving the digital revolution by transforming businesses and industries through intelligent products, platforms, and services.,

ABOUT XENONSTACK XenonStack is the fastest-growing data and AI foundry for agentic systems, enabling people and organizations to gain real-time and intelligent business insights. Agentic Systems for AI Agents: akira.ai Vision AI Platform: xenonstack.ai Inference AI Infrastructure for Agentic Systems: nexastack.ai THE OPPORTUNITY We are seeking an Agentic Infrastructure Observability Engineer to design, implement, and maintain visibility, monitoring, and assurance systems for large-scale AI agent deployments. This role focuses on observability, telemetry, and evaluation pipelines across multi-agent and multi-context workflows, ensuring AI systems are measurable, trustworthy, and compliant in enterprise and regulated environments. If you're passionate about SRE principles for AI, LLM evaluation, and agentic system transparency, this role offers the chance to shape observability for the next generation of intelligent automation. RESPONSIBILITIES Design and Implement Telemetry Pipelines Build observability infrastructure to capture logs, metrics, traces, and behavioral data from AI agents, orchestration layers, and integrated tools. Develop Evaluation Dashboards & KPIs Track accuracy, latency, reliability, cost, token usage, and success rates for agentic workflows. Enable Full-Stack Tracing Build execution flow tracing for multi-agent, multi-tool pipelines, with attribution for each decision, prompt, and retrieval step. Monitor Behavioral Reliability Detect and flag hallucinations, decision drift, prompt degradation, or tool misuse in real time. Integrate with Evaluation Frameworks Work with LLM eval tools like TruLens, Ragas, Arize AI, and custom scoring systems for continuous quality monitoring. Ensure Compliance & Auditability Implement observability features for regulatory audits (e.g., PCI-DSS, GDPR), including secure logging of prompts, retrieved context, and decisions. Cost & Resource Observability Track model/API usage, compute cost, and token consumption to enable optimization decisions. Collaborate Across Teams Partner with AgentOps Engineers, AI Interaction Engineers, and Model Reliability teams to turn observability insights into operational improvements. SKILLS & QUALIFICATIONS Must-Have: 35 years in SRE, DevOps, AI infrastructure, or ML systems engineering. Proficiency in Python and observability stacks (Prometheus, OpenTelemetry, Grafana, ELK, etc.). Familiarity with LLM architectures, multi-agent orchestration frameworks (LangGraph, LangChain, AgentBridge), and context pipelines. Experience with logging, tracing, and performance profiling for distributed systems. Understanding of LLM evaluation metrics (factuality, coherence, toxicity, cost efficiency). Knowledge of privacy and compliance standards for AI systems. Good-to-Have: Hands-on experience with LLM eval tools (TruLens, Ragas, Arize AI, Weights & Biases). Familiarity with RAG, vector databases, and knowledge graph-based retrieval. Experience in regulated industries (BFSI, healthcare, GRC). Background in anomaly detection or behavioral monitoring for ML systems. CAREER GROWTH & BENEFITS Continuous Learning & Growth Training and certifications in AI observability, LLM evaluation, and Responsible AI. Hands-on exposure to enterprise-scale agentic infrastructure. Recognition & Rewards Incentives for innovations in AI observability and monitoring. Fast-track opportunities into AI Reliability Architecture or Model Ops Leadership roles. Work Benefits & Well-Being Comprehensive medical insurance and project-based allowances. Cab facilities for women employees and special project perks. XENONSTACK CULTURE JOIN US & MAKE AN IMPACT! We foster a culture of cultivation with bold, human-centric leadership principles. We value deep work, experimentation, and ownership in every initiative, and we are on a mission to reshape how enterprises adopt AI + Human Intelligence systems. Product Values: Obsessed with Adoption Making AI accessible and enterprise-ready. Obsessed with Simplicity Turning complexity into seamless, intuitive AI experiences. Be a part of our vision to accelerate the world's transition to AI + Human Intelligence.,

As an AI Simulation Engineer at our company, you will be part of a team that is creating an AI-powered platform to deliver highly interactive, role-specific user experiences. Your main responsibility will be to design and implement the core simulation engine, which is an AI system capable of producing dynamic, multi-step interactions that evolve over time based on user actions. Your tasks will include developing context-aware AI agents that maintain interaction history and adapt responses over extended user journeys, building systems that allow character/persona-driven conversations with nuanced, role-specific behaviors, architecting long-term state management and storyline progression for complex multi-session experiences, designing automated task generation and evaluation workflows for different user profiles, implementing robust feedback loops and adaptive learning flows within simulations, and optimizing AI model usage for scalability, accuracy, and cost efficiency. To be successful in this role, you should have at least 7 years of experience in AI/ML or NLP-heavy product engineering. You should also have strong hands-on experience with LLM APIs such as OpenAI, Claude, Gemini, and frameworks like LangChain or LlamaIndex. Expertise in Python, backend architecture, and API development is essential, along with familiarity with vector databases like Pinecone, Weaviate, FAISS for context retrieval. Experience in building persistent conversational systems with multi-agent capabilities is also required, and any experience with simulation, gamification, or adaptive learning platforms would be a bonus. Joining our team will give you a founding-level role with high product ownership, the opportunity to work at the cutting edge of AI-driven, interactive environments, a competitive salary, and the chance to shape a product from the ground up with global market potential.,

As a qualified candidate for this role, you should possess a Bachelor's degree in Computer Science, Engineering, or a related field, along with a minimum of 4 years of hands-on experience in MS SQL Server, Oracle, or PostgreSQL development. Your expertise should include the ability to write complex Stored Procedures and SQL Queries, as well as hands-on experience in performance tuning of such procedures and queries. You should have a strong command of Dynamic SQL, Table Type Variables, and Temporary Tables, along with good knowledge in handling JSON in databases. Additionally, you must demonstrate a proven ability to work with large and complex relational database systems. Your knowledge, skills, and abilities should encompass a solid understanding of software development life cycle and database design principles, strong analytical, debugging, and troubleshooting skills, and the ability to work independently while managing tasks with minimal supervision. Experience in prioritizing tasks, handling escalations, and collaborating with distributed teams is essential, as well as being comfortable coordinating with onsite stakeholders for requirements gathering and delivery. You should also be willing to work extended hours when needed. It would be beneficial if you have exposure to NoSQL, Vector Databases, and Graph Databases, with a willingness to learn new technologies, or if you have 12 years of experience leading a small development team or mentoring junior developers. In this role, your responsibilities will include designing, developing, and maintaining relational database systems for high-performance applications, writing and optimizing complex queries and stored procedures, participating in database design, data warehouse structuring, and schema optimization, working closely with development teams to integrate backend database logic with front-end applications, performing query tuning and performance optimization, troubleshooting and resolving issues in existing SQL code or database structures, and documenting database structures, procedures, and configuration changes clearly and accurately. This job requires a proactive individual with strong technical skills and a collaborative mindset to contribute effectively to the development and maintenance of relational database systems for high-performance applications.,