200 Vector Databases Jobs

Location: Hybrid (Bangalore) Cessna Business Park Role: GenAI Engineer Type: Ongoing Contract This is an ongoing contract role with no fixed end date . There is no bond or mandatory commitment period though the engagement is expected to be long-term (minimum 2+ years) . If you decide to explore other opportunities in the future, a 30-day notice period will ensure a smooth and professional transition. Role Responsibilities Design, build, and maintain generative AI workflows and intelligent agent systems using Python Develop and deploy containerized microservices on cloud platforms such as AWS, GCP, or Azure Integrate with LLMs via APIs (e.g., OpenAI, Claude, Gemini) and apply prompt engineering best practices Build and maintain agent orchestration tools using LangChain, ReAct, CrewAI , or similar frameworks Manage data flow using vector databases (e.g., ChromaDB, Pinecone) and implement RAG (Retrieval-Augmented Generation) pipelines Handle API proxying , session management, and secure authentication (e.g., JWT ) Set up observability tools (e.g., logging, tracing, monitoring ) for AI agents and services Work cross-functionally with distributed teams and document architectural decisions clearly Rapidly prototype and iterate using telemetry data, logs, and user feedback Enforce security best practices in GenAI implementations, including input sanitization and access controls Required Skills & Experience 3–5+ years of Python development, including use of async programming and modular design patterns Experience with containerization tools like Docker or Podman , and deploying to cloud platforms Strong foundation in API design , including FastAPI , RESTful APIs, and WebSocket integrations Hands-on experience with at least one LLM agent/orchestration framework such as LangChain, AutoGen, or OpenAgents Understanding of prompt/response logging , token usage tracking , and LLM cost optimization Familiarity with version control (Git) and CI/CD workflows Excellent written communication skills and ability to collaborate in remote/distributed environments Nice-to-Have Experience with OpenTelemetry , LangSmith , or other LLM evaluation frameworks Understanding of security and compliance in generative AI systems Prior work integrating with enterprise systems or third-party APIs Background in Natural Language Processing (NLP) , Machine Learning , or cognitive architectures If you're interested, please send your updated resume to senthil@trilyonservices.com

Key Responsibilities: Design, develop, and deploy AI/ML models, particularly using LLAMA and similar LLM frameworks. Integrate vector databases and PostgreSQL for intelligent data retrieval and storage. Build and optimize Python-based pipelines , APIs, and backend services for AI applications. Leverage Databricks for scalable data processing, model training, and deployment. Collaborate with cross-functional teams to deliver production-ready AI solutions rapidly. Contribute to POCs and prototypes to validate ideas and iterate quickly. Must-Have Skills: 7+ years of experience in Data Science / AI Engineering roles. Proficiency with Databricks , Python , and PostgreSQL . Hands-on experience working with LLMs (especially LLAMA) and vector DBs like Pinecone, FAISS, or similar. Strong understanding of AI/ML lifecycle , from model development to deployment. Experience in startup or agile environments , with proven rapid delivery capabilities. Good to Have: Familiarity with cloud platforms (AWS/Azure/GCP). Knowledge of LangChain or similar LLM orchestration frameworks. Exposure to MLOps best practices and deployment tools.

Job Title: Sr. Data scientist-Gen AI Location: Bangalore Experience: 4+ years About the Role: We are looking for an experienced AI/ML Engineer with a strong background in Generative AI (GenAI), Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) implementation . You will play a key role in designing, developing, and deploying cutting-edge AI solutions that leverage state-of-the-art machine learning techniques to solve complex problems. Key Responsibilities: Design, develop, and optimize LLM-based applications with a focus on RAG pipelines, fine-tuning, and model deployment . Implement GenAI solutions for text generation, summarization, code generation, and other NLP tasks. Develop and optimize ML models , leveraging classical and deep learning techniques. Build and integrate retrieval systems using vector databases like FAISS, ChromaDB, Pinecone, or Weaviate . Optimize and fine-tune LLMs (e.g., OpenAI GPT, LLaMA, Mistral, Falcon ) for domain-specific use cases. Develop data pipelines for training, validation, and inference. Work on scalable AI solutions , ensuring performance and cost efficiency in deployment. Collaborate with cross-functional teams to integrate AI models into production applications. Required Skills & Qualifications: 4+ years of experience in AI/ML development. Strong proficiency in Python and ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers . Hands-on experience with LLMs, GenAI, and RAG architectures . Experience working with vector databases (e.g., FAISS, Pinecone, ChromaDB). Knowledge of ML algorithms , deep learning architectures, and NLP techniques. Familiarity with cloud platforms ( AWS, GCP, or Azure ) and AI/ML model deployment. Experience with LangChain or LlamaIndex for LLM applications is a plus. Strong problem-solving skills and the ability to work in a fast-paced environment. Perks & Benefits: Health and Wellness: Healthcare policy covering your family and parents. Food: Enjoy scrumptious buffet lunch at the office every day. (Bangalore) Hybrid work policy: Beat the everyday traffic commute. A 3-day in office and 2-day WFH policy based on your roles and responsibilities. Professional Development: Learn and propel your career. We provide workshops, funded online courses and other learning opportunities based on individual needs. Rewards and Recognition&aposs: Recognition and rewards programs in place to celebrate your achievements and contributions. To find out more about us, head over to our Website and LinkedIn Show more Show less

Job Role: Generative AI Engineer Intern Company: Growhut Technologies Private Limited Job Type: Full-Time Internship Location: Remote Stipend: INR 15,000 - 20,000 per month Duration: 6 Months ???? About Growhut At Growhut , were not just building AI products were shaping the future of intelligent systems. We create real-world impact by developing AI solutions that blend human intuition with machine precision, across language, vision, and agentic automation. As a fast-growing AI lab, we work with global clients and build our own in-house products including voice AI, agent orchestration tools, and futuristic collaboration systems. Now, were looking for Generative AI Engineer Interns who are obsessed with building agentic AI systems systems that dont just answer questions but get things done. ???? The Role: Generative AI Engineer Agentic AI (Internship) As an intern at Growhut, youll work at the cutting edge of agentic workflows , using multi-agent frameworks to build systems that reason, plan, and execute in real time. Youll collaborate with a team of builders to implement AI systems that combine LLMs, RAG pipelines, multi-modal processing , and tool-use agents . ???? What Youll Do Design, build, and test agentic AI workflows using frameworks like Krivya, LangGraph, CrewAI, AutoGen , or Autogen Studio . Integrate LLMs (GPT-4, Claude, Lamma, etc.) into real-world automation pipelines with live APIs and tool usage. Deploy autonomous agents that can perform tasks such as research, document generation, summarization, and coordination. Work with retrieval-augmented generation (RAG) techniques, memory systems, and context-aware task planning. Experiment with prompt chaining, long-term memory, and multi-agent collaboration protocols. Contribute to building scalable backend infrastructure for inference, tool integration, and async workflows. Collaborate on internal research initiatives and proof-of-concept projects in AI-human collaboration. ???? Technical Requirements Were looking for someone with hands-on experience or a firm grasp of the following: Must-Have: Strong understanding of Agentic AI , multi-agent workflows, and orchestration strategies. Experience with open-source frameworks like LangGraph, Krivya, AutoGen, CrewAI , or similar tools. Familiarity with vector databases (e.g., Pinecone, Weaviate, Qdrant) and RAG systems . Proficiency in Python , and working knowledge of LangChain , Transformers , and Prompt Engineering . Exposure to LLMs (e.g., GPT-4, Claude, Gemini, Mistral) and their APIs. Comfort with cloud-managed services : AWS Bedrock, Google Vertex AI, or Azure OpenAI. Understanding of tool calling , function calling , and memory management in LLM contexts. Familiarity with LiveKit , real-time communication protocols, and event-driven systems. Nice-to-Have: Experience with audio/voice models or multi-modal agents . There is interest in task decomposition strategies like ReAct, Tree of Thought, and Plan-and-Execute. Exposure to LangChain Expression Language (LCEL) and custom agent toolkits. ???? Why Join Growhut Build Real Systems : Not just research youll build end-to-end agentic products for real users. Mentorship from Experts : Collaborate with a team thats pushing boundaries in AI and automation. Global Exposure : We work with clients and users around the world across BFSI, health, SaaS, and beyond. Cutting-Edge Infrastructure : Work on high-impact projects using the latest open-source tools and enterprise-grade services. ???? The Growhut Difference At Growhut, we believe in building executional AI systems that dont just predict or inform but actually act . Were creating the infrastructure of tomorrows autonomous work. Youll get to build with full-stack agents that talk, listen, plan, and execute across real-world workflows. ?? Ready to Apply If youre serious about building the next generation of autonomous AI agents , apply now and join us in building the future one agent at a time. Show more Show less

About Astro 247: Astro 247 is an AI-powered astrology app that provides users with instant insights into their future. Our mission is to blend technology with ancient wisdom, offering a unique and engaging astrology experience. We are looking for a passionate AI Engineer Intern to join our growing team. This role is ideal for students or fresh graduates who are eager to apply their knowledge of AI/ML in a fast-paced, product-driven environment. This is a full-time, in-office internship based in Bangalore . Remote applicants will not be considered Responsibilities Research, design, and prototype AI/ML models for natural language understanding, recommendation systems, and conversational AI. Work on LLM fine-tuning, embeddings, prompt optimization, and dialogue design for astrology-based use cases. Collaborate with product and engineering teams to deploy scalable AI features into production. Analyze user interactions and feedback to continuously improve model accuracy and performance. Explore new techniques in Generative AI, text classification, and personalization to enhance the user experience. Requirements Pursuing or recently completed Bachelors/Masters in Computer Science, AI, Data Science, or related field. Strong foundation in Python, machine learning frameworks (PyTorch/TensorFlow), and NLP libraries (Transformers, LangChain, OpenAI API, etc.). Familiarity with LLMs, embeddings, vector databases, and conversational AI systems. Good problem-solving skills and ability to work independently in a startup environment. Bonus: Experience with MLOps tools, cloud platforms (AWS/GCP), or prior projects in chatbots/GenAI. What Youll Gain Competitive stipend for the internship Hands-on experience building and deploying real-world AI systems at scale. Mentorship from senior engineers and product leaders. Exposure to cutting-edge LLM, GenAI, and personalization techniques . Potential to transition into a full-time AI Engineer role after internship. Please send us your resume or portfolio/GitHub, and a short note to [HIDDEN TEXT] Show more Show less

Job Opportunity: Artificial Intelligence Developer (Remote | 01 Year Experience) Location: Work from Home Experience: 01 Year (Full-time internship or junior developer experience required) About Debales.ai is a fast-growing B2B technology company focused on building intelligent, scalable, and user-centric solutions for businesses across the globe. Our product suite includes custom Shopify applications , browser-based widgets , and npm packages , empowering digital transformation and automation for modern enterprises. We are passionate about innovation, collaboration, and solving real-world problems with cutting-edge technology. Key Responsibilities:- 1. Collaborate with our team of AI experts to develop and deploy AI modelswith end to end AI/ML systems. 2. Assist in analyzing and interpreting complex data sets to drive business insights 3. Contribute to the design and implementation of machine learning algorithms 4. Proficiency in programming languages like Python, with experience in frameworks like LangChain 5. Hands-on experience with LLMs (e.g., OpenAI, Hugging Face, etc.) 6. Strong understanding of retrieval systems and vector databases (e.g., Pinecone, Weaviate) 7. Experience deploying solutions on cloud platforms (AWS, Azure, or Google Cloud) 8. Familiarity with chatbot frameworks and APIs for integration 9. Experience in building conversational AI solutions for specific industries or applications 10. Knowledge of prompt engineering and fine-tuning LLM 11. Knowledge of N8N and Lang flow 11. Knowledge or have worked with agents,tools and built multi agentic architecture. The ideal candidate is a creative problem solver who will work in coordination with cross-functional teams to design, develop, and maintain our next generation websites and web tools. You must be comfortable working as part of a team while taking the initiative to take lead on new innovations and projects. Qualifications Bachelor&aposs degree or equivalent experience in Computer Sciencewith 6 to 12 months of experience. Previous experience in using HTML, CSS, and JavaScript Proficiency in at least one server-side technology (Java, PHP, NodeJS, Python, Ruby Ability to multi-task, organize, and prioritize work Preferred Skills:- Artificial intelligence Data Science Data Structures Deep Learning Machine Learning Natural Language Processing (NLP) Neural Networks Python Show more Show less

About the Role We are seeking a Agentic AI Developer with 35 years of total software/AI experience and proven hands-on work in Agentic AI . The ideal candidate has built LLM-powered agents using frameworks like LangChain, AutoGen, CrewAI, or Semantic Kernel, and can design, deploy, and optimize autonomous AI systems for real-world business use cases. Key Responsibilities Architect, build, and deploy LLM-driven agents that can plan, reason, and execute multi-step workflows. Work with agent orchestration frameworks (LangChain, AutoGen, CrewAI, Semantic Kernel, Haystack, etc.). Develop and maintain tools, APIs, and connectors for extending agent capabilities. Implement RAG pipelines with vector databases (Pinecone, Weaviate, FAISS, Chroma, etc.). Optimize prompts, workflows, and decision-making for accuracy, cost, and reliability . Collaborate with product and engineering teams to design use-casespecific agents (e.g., copilots, data analysts, support agents). Ensure monitoring, security, and ethical compliance of deployed agents. Stay ahead of emerging trends in multi-agent systems and autonomous AI research . Required Skills 35 years of professional experience in AI/ML, software engineering, or backend development . Demonstrated hands-on experience in building agentic AI solutions (not just chatbots). Proficiency in Python (TypeScript/JavaScript is a plus). Direct experience with LLM APIs (OpenAI, Anthropic, Hugging Face, Cohere, etc.). Strong knowledge of vector databases and embeddings . Experience integrating APIs, external tools, and enterprise data sources into agents. Solid understanding of prompt engineering and workflow optimization . Strong problem-solving, debugging, and system design skills. Nice to Have Experience with multi-agent systems (agents collaborating on tasks). Prior contributions to open-source agentic AI projects . Cloud deployment knowledge ( AWS/GCP/Azure ) and MLOps practices. Background in reinforcement learning or agent evaluation . Familiarity with AI safety, monitoring, and guardrails . What We Offer Work on cutting-edge AI agent projects with direct real-world impact. Collaborative environment with strong emphasis on innovation & experimentation . Competitive salary and growth opportunities. Opportunity to specialize in one of the fastest-growing areas of AI . Show more Show less

Note: Please apply only IMMEDIATE JOINERS or max 15-20 Days. Location: Remote Timings: 6PM -2PM IST We are looking for a Senior Generative AI Engineer who will be responsible for developing, fine-tuning, and deploying Generative AI solutions tailored to business needs. This role requires hands-on expertise in Gen AI development, a strong understanding of Azure, and the flexibility to adapt to evolving AI technologies. This role requires a blend of technical expertise, business acumen, and adaptability, ensuring that Generative AI solutions deliver real impact while staying aligned with evolving business needs. Key Responsibilities: Develop and deploy Generative AI solutions using OpenAI, Hugging Face, and Llama APIs to address business challenges Proficient in API-first development, with experience using development platforms like VS Code and API testing tools such as Postman and Swagger. Strong expertise in relational databases and SQL, with excellent Python skills and a solid understanding of JavaScript. Hands-on experience with Azure platform, including Azure Blob Storage, Azure AI Search, Azure Data Factory, and Azure AI Foundry. Expertise in NLP, prompt engineering, fine-tuning, AI-powered chatbots, RAG (Retrieval Augmented Generation), vector databases, and embeddings. Collaborate with business stakeholders and cross-functional teams to align AI solutions with business objectives and handle cross-functional dependencies. Translate complex technical concepts into business-friendly insights and provide actionable recommendations to non-technical stakeholders. Strong communication and stakeholder management skills to effectively gather necessary information and drive AI initiatives forward. Should be a strong team player, actively supporting colleagues and fostering a collaborative, positive team environment. A proactive attitude, good judgment, and common sense in decision making and interactions are essential. Work on relationship building and should be able to position the team in good terms with business and other teams. Preferred candidate profile: Good Attitude & Communication with Gen ai delivery, with tech depth and comms. Tending one way of tech or comms is fine too.

Hi Candidate, We are seeking passionate AI/Data Science Engineers to work on innovative AI/ML solutions, focusing on LLMs, RAG, CAG, and core ML algorithms. Position : AI/Data Science Engineer Experience : 6 months 1 year Location : Thane (Immediate joining required) Immediately Joiner Job Description: We are seeking candidates passionate about AI/ML, with hands-on experience in Python and machine learning frameworks. The role involves working on AI solutions using concepts like RAG, CAG, and basic ML algorithms. Strong analytical and communication skills are essential. Key Responsibilities: Collect, clean, transform, and prepare data for machine learning models using tools like Pandas and NumPy Build and experiment with Large Language Models (LLMs) using libraries such as LangChain and LangGraph Develop prototypes and components of AI-based solutions Understand and apply concepts like Retrieval-Augmented Generation (RAG) and Agentic Workflows Build and maintain data pipelines to ensure smooth data flow from raw to processed formats Must-Have Skills: Strong Python programming skills with libraries such as Pandas and NumPy Experience with Python frameworks (Django, Flask, or FastAPI) and building REST APIs Knowledge of Machine Learning algorithms and libraries like Scikit-learn, TensorFlow, or Keras Hands-on experience with at least one of the following: LLM, RAG, Vector Databases, or Agentic AI Familiarity with data visualization tools (Matplotlib, Seaborn) Experience with Git and Jupyter Notebook Good-to-Have Skills: Familiarity with IDEs like Cursor or WindSurf Exposure to open-source platforms like Ollama, Hugging Face Experience with cloud platforms (AWS, GCP) Additional Information: Candidates must have hands-on experience working on AI/Data Science/Machine Learning projects, internships, or jobs Profiles without relevant AI/ML project experience should not be considered

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 goes beyond observation; it is a deep-dive, immersive program where you will play a crucial role in foundational projects in Generative AI. Your primary mission will be to push the boundaries of Large Language Models (LLMs) and create autonomous AI agents that can elegantly solve complex problems with AI-driven solutions. As an AI Engineer Intern, your day-to-day responsibilities will include building AI solutions utilizing LLMs such as GPT, Claude, LLaMA, and Mistral. You will be tasked with developing chatbots, AI agents, and document analyzers. Additionally, you will work with RAG, vector databases, and engage in prompt engineering. Familiarity with frameworks like LangChain, LlamaIndex, and CrewAI will be essential as you evaluate and optimize AI models for production. Collaboration with product teams on real-world projects will also be a key aspect of your role. Splashgain Technology Solutions Private Limited, the company behind this exciting opportunity, is an award-winning software product company specializing in the ed-tech segment. Their acclaimed software platforms are widely utilized by various organizations and educational institutions, making a significant impact in the industry.,

Fill this form for quick assessment: https://forms.office.com/r/2rDSquE4y5 Hiring Senior Software Engineer for xcPEP development (Python+FastAPI+Next.js+AWS+GenAI) Location: Bommasandra, Bengaluru (On-site) Experience: 5+ years in backend development, 1+ years worked as lead a team of 5+ people Salary Range: 12 to 18 LPA About the Role Lead the backend architecture, development, and deployment of xcPEP for AI-driven cost engineering SaaS platform. Manage a team of backend +F rontend + DevOps engineers, guide the transition from Django monolith to FastAPI microservices, and develop GenAI-powered features for should costing workflow in xcPEP. This is a critical leadership position that requires technical depth, architectural vision, and strong people management skills. Key Responsibilities Backend Architecture Lead the migration from Django monolith to FastAPI-based microservices. Define and implement scalable API architecture for high-performance SaaS. Own database design and performance optimization for PostgreSQL + RDS. Ensure security best practices (SSO with Keycloak/Auth0/Okta, CSP, token-based access for assets). GenAI & Advanced Features Integrate RAG pipelines with PostgreSQL + vector DB for AI-powered insights. Develop image-based data mapping modules using computer vision. Work with agentic AI frameworks to automate workflows. Team Leadership Mentor backend engineers and enforce code quality standards. Collaborate with Frontend, DevOps, and AI/ML teams for feature delivery. Own backend hiring and onboarding. Project Management Translate business requirements into backend deliverables. Prioritize tasks for sprint planning in coordination with Product Managers. Conduct architecture reviews and resolve bottlenecks. Required Skills Core Backend Skills Strong Python expertise with FastAPI and Django (monolith + API). Experience with microservices architecture & API gateway patterns. Advanced PostgreSQL skills (queries, optimization, schema design). Familiarity with AWS stack (ECS, S3, CloudFront, RDS, ALB, ACM). AI/GenAI Integration Understanding of LLMs, RAG pipelines, and vector databases (Pinecone, Weaviate, or PGVector). Knowledge of LangChain, vLLM, or OpenAI API integration. Security & Compliance SSO via SAML/OIDC. SOC 2 / ISO 27001 readiness. Secure handling of file & image access. Leadership Proven experience in leading software development teams. Strong problem-solving and decision-making abilities. Good-to-Have Experience in cost engineering or manufacturing tech. Exposure to real-time systems or large data handling. Hands-on experience with Kubernetes and container orchestration. Show more Show less

As a Mid-Level LLM Application Developer with 3+ years of experience in software development, you will have the opportunity to work on designing, developing, and deploying scalable LLM-powered solutions using Azure OpenAI, Python, and LLM frameworks. Your role will involve collaborating with cross-functional teams to bring innovative AI solutions to life, leveraging generative AI and agentic technologies. Responsibilities: - Design and develop LLM-powered applications using Python and Azure OpenAI services. - Extend digital products and platforms with new capabilities and LLM Apps. - Support the adoption of digital platforms and LLM Apps by onboarding new clients and driving automation for client adoption. - Build end-to-end Retrieval-Augmented Generation (RAG) pipelines and develop conversational agents and virtual assistants using frameworks like LangChain or LlamaIndex. - Integrate LLMs with external tools, APIs, and business data systems. - Deploy and manage applications using Azure Functions, Azure AI services, and serverless components to ensure performance, scalability, and reliability of AI solutions on Azure. - Collaborate across teams and participate in agile development processes. Required Skills (Must Have): - Strong proficiency in Python programming language. - Expertise in Azure OpenAI Service, including foundation model usage, GPT Model family, and integration. - Deep experience in prompt engineering and building RAG pipelines with vector databases and tool integrations. - Proven experience developing chatbots or virtual assistants using LLMs. - Proficiency in at least one LLM application framework. - In-depth understanding of LLM models, their capabilities, and applications. - Experience deploying with Azure Function Apps and broader Azure ecosystem. - Solid grasp of API integrations and data workflow design. - Strong problem-solving skills and ability to deliver scalable, efficient code. - Excellent communication and team collaboration abilities. Preferred Skills (Good to Have): - Understanding of using AI Agents and Agentic AI Patterns to integrate with LLMs. - Experience building cloud-native services with serverless architectures. - Familiarity with NLP techniques and data transformation pipelines. - Familiarity with LLMOps concepts and AI model lifecycle. Qualifications: - Bachelors degree in computer science, Computer Engineering, or a related field. - 3+ years of experience in software development. - Strong understanding of software development methodologies (e.g., Agile). Location: DGS India - Pune - Kharadi EON Free Zone Brand: Dentsu Creative Time Type: Full time Contract Type: Consultant,

As a talented Python with AI/ML Developer at BMC, you will be working on complex and distributed software, playing a key role in designing, developing, and debugging software products. Your primary responsibilities will include implementing features and ensuring product quality for the IZOT product line, which focuses on BMCs Intelligent Z Optimization & Transformation products. You will have the opportunity to work on modernizing mainframe systems for some of the world's largest companies. By leveraging GenAI frameworks, RAG pipelines, and OpenAI Protocol, you will contribute to improving the developer experience, mainframe integration, application development speed, code quality, and application security while reducing operational costs and risks. In this role, you will be expected to design and develop robust Restful APIs and Microservices using Twelve-Factor App and Microservices design patterns. You will also work with AI/ML models hosted both in-house and on cloud platforms for real-time and batch inference. Additionally, you will fine-tune and adapt pre-trained models using machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn to build domain-specific products and drive actionable insights and business outcomes. To excel in this role, you should have 8+ years of experience in application development using Python/Fast API, Java, and RESTful services. A background in computer science, Statistics, Mathematics, Data Science, or related fields is preferred, along with experience in Full Stack Development, frontend development, and machine learning frameworks. Furthermore, familiarity with design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation, and performance at scale will be beneficial. Experience with data engineering, model tracking, serving, container orchestration frameworks, observability tools, and CI/CD environments is also desirable. At BMC, we value continuous learning and growth. If you are passionate about adapting technology to provide business-benefiting solutions and have excellent communication skills, we encourage you to apply. We are committed to attracting talents from diverse backgrounds and experiences to foster innovation and creativity within our team. Join BMC and be a part of a culture that celebrates individuality and values each employee for their unique contributions. Your journey at BMC will be rewarding not only in terms of salary but also through a supportive work environment that encourages personal and professional development. If you are excited about the opportunity to work at BMC but are unsure if you meet all the qualifications, we still encourage you to apply. Your authentic self is what we value the most. Take the first step towards an exciting career at BMC by exploring the possibilities and applying through our website.,

Description Description Job Title: GenAI Application Engineer (Associate Consultant) Location: Bangalore / Chennai / NCR (Hybrid) Experience: 3.5 to 5.5 years Employment Type: Full-time Job Objective: We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI). The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use cases. Key Responsibilities: Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP. Required Skills: Strong programming skills in Python. Solid understanding of traditional ML models and statistical techniques. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace). Familiarity with prompt engineering and LLM fine-tuning. Exposure to cloud platforms (Azure preferred). Qualifications Preferred Qualifications: Masters degree in Computer Science, Data Science, Engineering, or related field. Experience in the life sciences or healthcare domain is a plus. Strong communication and stakeholder management skills. Ability to work in a fast-paced, collaborative environment. Show more Show less

Description Description Job Title: GenAI Application Engineer (Associate Consultant) Location: Bangalore / Chennai / NCR (Hybrid) Experience: 3.5 to 5.5 years Employment Type: Full-time Job Objective: We are seeking a highly skilled and motivated GenAI Application Engineer with a strong foundation in traditional Machine Learning (ML) and hands-on experience in Generative AI (GenAI). The ideal candidate will contribute to the design, development, and deployment of AI-driven solutions across business use cases. Key Responsibilities: Design and implement ML models including regression, classification, clustering, and optimization algorithms. Build and deploy GenAI applications using LLMs for tasks such as summarization, sentiment analysis, and content generation. Collaborate with cross-functional teams to identify opportunities for AI integration into business processes. Conduct research on emerging GenAI technologies and frameworks (e.g., LangChain, LlamaIndex). Fine-tune and optimize models for performance, scalability, and accuracy. Develop and maintain robust data pipelines and workflows. Stay updated with the latest advancements in AI, ML, and NLP. Required Skills: Strong programming skills in Python. Solid understanding of traditional ML models and statistical techniques. Proficiency in working with GenAI tools and technologies such as LLMs, Retrieval-Augmented Generation (RAG), OpenAI APIs, LangChain, Streamlit, and vector databases. Hands-on experience with LLMs and GenAI tools (e.g., OpenAI, HuggingFace). Familiarity with prompt engineering and LLM fine-tuning. Exposure to cloud platforms (Azure preferred). Qualifications Preferred Qualifications: Masters degree in Computer Science, Data Science, Engineering, or related field. Experience in the life sciences or healthcare domain is a plus. Strong communication and stakeholder management skills. Ability to work in a fast-paced, collaborative environment. Show more Show less

Proven implementation experience in Data Science, Machine Learning, Deep Learning, and NLP for multiple domains. Strong programming skills in Python, with experience in libraries such as Transformers (Hugging Face), PyTorch, or TensorFlow. 6+ years of experience in data science, with at least 2 years focused on LLMs or Generative AI. Hands-on experience with fine-tuning, prompt engineering, RAG (Retrieval-Augmented Generation), and LLM evaluation. Familiarity with vector databases and embedding techniques. Experience deploying models using APIs, Docker, and cloud platforms Strong analytical, problem-solving, and communication skills. Experience in ML Ops, Model deployment, Model lifecycle and management Show more Show less

Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software. We are seeking a Software Engineering Manager with a strong background in Python, Java Spring Boot, AWS Cloud, Microservices, to lead and manage development teams which will be developing Data & AI services including Agentic framework, RAG Service, etc. The candidate should have strong understanding of AI / ML frameworks and toolsets. The ideal candidate should have end-to-end project management experience, the ability to provide technical leadership, and excellent interpersonal skills for handling stakeholders and multi-functional teams. Key Responsibilities: Lead and mentor development teams, providing guidance to achieve project goals. Develop a collaborative work environment, ensuring effective team communication. Conduct performance reviews, identify development needs, and provide ongoing mentor. Participate in the recruitment and hiring of new engineers. Oversee project management, including scope definition, delivery milestones, and timelines. Track project progress, present status updates, and identify risks with mitigation plans. Collaborate with product managers, product owners, architects, and partner teams to gather requirements and prioritize features. Ensure adherence to coding standards, best practices, and design principles. Provide technical guidance and expertise on complex design decisions. Maintain smooth communication with stakeholders, offering clear project status updates and addressing challenges proactively. Mandatory Requirements: 9 to 12 years of experience in software development and engineering management. Proven expertise in Java Spring Boot, AWS Cloud, Microservices, Angular, TypeScript, JavaScript, HTML, and CSS. Experience in working with Databases (SQL, NoSQL) and data structures Experience in managing projects on ML/AI engineering, particularly with LLMs and generative AI applications Experience with microservices architecture, API design, and asynchronous programming Demonstrated experience building RAG systems and working with vector databases Familiarity with LangChain/LangGraph or similar LLM orchestration frameworks Solid understanding of AWS services, particularly Bedrock, Lambda, and container services Strong experience in leading and managing development teams. Ability to provide technical leadership and mentorship to engineers. Excellent skills in cross-team communication, stakeholder management, and presenting complex technical concepts to diverse audiences. Strong problem-solving skills, with the ability to analyze issues, develop effective solutions, and make timely decisions. Good to Have: Experience with other cloud platforms like Azure and open-source cloud components. Knowledge of Docker & Kubernetes, Terraform, and Python ! Knowledge of modern data stack (ETL, data warehousing, analytics, and AI) Preferred Skills & Attributes: Ability to drive team performance, ensuring alignment with business objectives. Experience managing large-scale cloud-based applications. Strong understanding of Agile methodologies and project execution. Outstanding leadership, coaching, and team-building skills. Ability to work in fast-paced environments, handling multiple priorities effectively. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We are Siemens A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We&aposre dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow! We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare. Siemens Software. Transform the everyday' , #SWSaaS Show more Show less

About the Role Straive is looking for a talented and driven Consultant / Data Scientist / GenAI Engineer to join our Analytics & GenAI delivery team . In this role, you will work under the guidance of the Senior Project Manager / Engagement Manager to design, develop, and deploy advanced AI/ML and Generative AI solutions for global enterprise clients. You will be part of a high-performing team, collaborating with both onshore and offshore members to build scalable, production-grade AI systems. This role is ideal for candidates from premier engineering institutes with 23 years of relevant experience in Python development, LLM integration, and RAG workflows, along with a passion for solving complex problems in real-world business contexts. Key Responsibilities Develop and maintain Python-based applications, AI/ML models, and data processing pipelines for GenAI projects. Implement Large Language Model (LLM) integrations, including Retrieval-Augmented Generation (RAG) pipelines and embedding-based search solutions. Build data ingestion and transformation workflows, working with structured and unstructured datasets. Optimize AI model performance through prompt engineering , fine-tuning, and evaluation techniques. Collaborate closely with senior team members to translate business requirements into technical solutions. Integrate AI solutions with vector databases (e.g., Cosmos DB, Pinecone, ChromaDB) and API-driven applications. (Optional) Contribute to cloud-native deployments and Azure architecture based solutions, including containerization, CI/CD, and basic MLOps workflows. Document workflows, maintain code repositories, and follow Agile development practices. Required Qualifications 23 years of relevant experience in AI/ML development, preferably in enterprise projects. Bachelors or Masters degree in Computer Science, Data Science, AI/ML, or related field from a premier engineering institute . Proficiency in Python programming and familiarity with relevant libraries (e.g., LangChain, Hugging Face, Pandas, NumPy). Hands-on experience implementing RAG pipelines , embeddings, and vector search solutions. Understanding of LLM architectures and integration patterns. Working knowledge of SQL and data processing best practices. Basic knowledge of cloud DevOps concepts , preferably with Azure (AWS/GCP experience is also acceptable). Preferred Skills Exposure to agentic AI frameworks such as LangGraph, Semantic Kernel, or similar. Familiarity with ML model lifecycle management and deployment workflows. Prior experience working with cross-border teams and Agile environments. Show more Show less

Key Responsibilities Build Gen AI-enabled solutions using online and offline LLMs, SLMs and TLMs tailored to domain-specific problems. Deploy agentic AI workflows and use cases using frameworks like LangGraph, Crew AI etc. Apply NLP, predictive modelling and optimization techniques to develop scalable machine learning solutions. Integrate enterprise knowledge bases using Vector Databases and Retrieval Augmented Generation (RAG). Apply advanced analytics to address complex challenges in Healthcare, BFSI and Manufacturing domains. Deliver embedded analytics within business systems to drive real-time operational insights. Required Skills & Experience 35 years of experience in applied Data Science or AI roles. Experience working in any one of the following domains: BFSI, Healthcare/Health Sciences, Manufacturing or Utilities. Proficiency in Python, with hands-on experience in libraries such as scikit-learn, TensorFlow Practical experience with Gen AI (LLMs, RAG, vector databases), NLP and building scalable ML solutions. Experience with time series forecasting, A/B testing, Bayesian methods and hypothesis testing. Strong skills in working with structured and unstructured data, including advanced feature engineering. Familiarity with analytics maturity models and the development of Analytics Centre of Excellence (CoEs). Exposure to cloud-based ML platforms like Azure ML, AWS SageMaker or Google Vertex AI. Data visualization using Matplotlib, Seaborn, Plotly; experience with Power BI is a plus. What We Look for (Values & Behaviours) AI-First Thinking Passion for leveraging AI to solve business problems. Data-Driven Mindset Ability to extract meaningful insights from complex data. Collaboration & Agility Comfortable working in cross-functional teams with a fast-paced mindset. Problem-Solving Think beyond the obvious to unlock AI-driven opportunities. Business Impact Focus on measurable outcomes and real-world adoption of AI. Continuous Learning Stay updated with the latest AI trends, research and best practices. Show more Show less

You are a senior professional with at least 6+ years of hands-on experience in Python focusing on AI technologies. Your proficiency lies in Python and you have worked with libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch. Your expertise includes a solid understanding of machine learning algorithms, model evaluation, and data preprocessing techniques. You have experience dealing with both structured and unstructured data sets. Additionally, you are familiar with version control systems like Git and collaborative development practices. Your strong problem-solving skills enable you to work effectively both independently and as part of a team. Desired Skills: - You have experience in natural language processing (NLP), computer vision, or time-series forecasting. - You are familiar with MLOps tools and practices for model deployment and monitoring. - Your background includes working with Generative AI models such as GPT, LLaMA, or Stable Diffusion. - You have knowledge of prompt engineering, fine-tuning, or embedding techniques for large language models (LLMs). - Hands-on experience with LLM frameworks like LangChain, Haystack, or Transformers (Hugging Face) is a plus. - You understand vector databases (e.g., Postgres, Pinecone) for retrieval-augmented generation (RAG) pipelines. - Any contributions to open-source AI/ML projects or published research would be beneficial. Locations: Hyderabad / Chennai / Bangalore / Pune. If you meet the above criteria and are interested in this opportunity, please share your resume at hr@neev.global or call 9429691736. This is a full-time position that requires you to work in person.,

You have a great opportunity with Infosys for the position of Python AI/ML with GEN AI. This is a contract role based in either Chennai or Pune (Onsite). You should have a minimum of 4 years of experience in AI/ML, specifically in GenAI, along with a total of 5+ years of industry experience. Your responsibilities will include demonstrating proficiency in Python, ML, NLP, and text data analysis. You should have hands-on experience in API creation, RAG, Vector databases, LLM prompt engineering, and LLM evaluation. It is important to be familiar with MLOps tools and practices, such as monitoring and evaluation tools like LangSmith, LLM deployment libraries like LiteLLM and LLM Guardrails, CI/CD, model versioning, and model deployment best practices. Additionally, knowledge of or eagerness to learn Kubernetes and cloud services (AWS/GCP/Azure) would be beneficial. As the Recruitment & Delivery Lead, Swapnil Thakur from iPeople Infosystems LLC is looking forward to hearing from interested candidates. This is a full-time position with work scheduled from Monday to Friday. If you are excited about this opportunity, please reach out to Swapnil at swapnil.t@ipeopleinfosystems.com or call at +91 7972726448. For more information, you can visit www.ipeopleinfosystems.com.,

Overview We are looking for a hybrid AI Platform Engineer to lead the design of high-performance prompts and the development of custom AI agents and integrations across our internal platforms. Collaborating closely with our AI Platform Manager and functional business units, this role bridges the creative precision of prompt engineering with the technical fluency required to build and deploy powerful LLM-based tools using APIs, system integrations, and emerging AI infrastructure. Key Responsibilities Prompt Engineering & Optimization Design, test, and refine prompts for general and use-case-specific applications. Evaluate and improve LLM output quality based on accuracy, latency, hallucination, and user satisfaction. Maintain a scalable prompt library with robust documentation and experimentation tracking. Custom Agent & GPT Development Build and maintain custom GPTs (via OpenAI) or Google Agents (Gemini, Vertex AI). Configure tools, memory, system prompts, and API-calling capabilities for agent workflows. Ensure agents follow internal data governance and compliance policies. API & Platform Integration Integrate LLM functionality into internal systems (e.g., dashboards, Slack, CRMs, internal portals). Work with APIs from OpenAI, Google Cloud, Azure, and others to create functional pipelines. Support rapid prototyping and deployment of AI features in close coordination with product and automation teams. Evaluation & Instrumentation Define key performance metrics (quality, reliability, usage patterns). Collaborate with data engineering to log, analyze, and visualize LLM performance. Implement feedback loops to continuously optimize prompt and agent behavior. Enablement & Documentation Provide tooling and guidance to business users and product teams for prompt-based workflows. Contribute to internal AI playbooks and best practices around prompt usage and API integration. Requirements 1 -3 years of experience in AI/ML, NLP applications, or full-stack product development Hands-on experience with OpenAI APIs, Google Cloud Vertex/Gemini, or similar platforms Strong experience with prompt engineering and LLM evaluation methods Proficiency in Python and working with APIs, JSON, and vector databases Familiarity with LangChain, LlamaIndex, or custom agent frameworks Excellent collaboration and communication skills Show more Show less

We are looking for a highly skilled and motivated Lead Data Scientist to join our team. In this role, you will leverage cutting-edge AI and machine learning technologies to address new and unique challenges, design innovative data science solutions, and deliver projects that exceed client expectations. As a leader, you will manage a team of data scientists, collaborate with cross-functional data teams, and provide strategic and technical direction in data science while driving innovation in our product and solution offerings. You should have strong statistical and machine learning intuition along with the ability to design, develop, and deploy end-to-end data science solutions, POCs, and production-grade applications. Proficiency in Python with OOP principles, experience in developing APIs using Flask or Fast API frameworks, integration knowledge with front-end applications, expertise in version control systems, familiarity with task management tools, and proficiency in databases including SQL, NoSQL, and vector databases are essential. Working knowledge of ML pipelines, CI/CD, and experience with at least one of the cloud platforms (Azure, AWS, GCP) is required. Candidates must have a strong understanding of fundamentals and hands-on expertise in at least THREE of the following areas: NLP, Generative AI (NLP), Computer Vision, Time Series Forecasting, or Recommendation Systems and Optimization. Your responsibilities will include leveraging advanced AI and machine learning techniques to address complex business challenges, developing innovative data science solutions, architecting end-to-end generative AI solutions, leading and mentoring a team of data scientists, collaborating with cross-functional teams, ensuring high client satisfaction, promoting innovation, and ideating new approaches for products and solutions. Nice to have skills include hands-on experience with PySpark, Azure AI stack, ETL processes, integration with analytics tools, knowledge of deep learning frameworks, experience with cloud platforms, MLOps practices, project management skills, and proficiency in graph databases. Ideal candidates will have a minimum of 5+ years of experience solving complex machine learning problems, at least 2+ years of hands-on experience in each chosen Core Excellence Area, minimum of 1 year leading and managing ML projects end-to-end, and a Bachelor's degree in computer science, Data Science, or related field (Masters/PG in AI/ML/DS preferred).,

As a Product Manager - Enterprise AI, you will play a crucial role in leading the transformation by defining and delivering AI tools that enhance voice intelligence, agent copilots, decision support systems, and risk engines. Your focus will be on supercharging our teams and establishing a new benchmark in fintech productivity. Your responsibilities will include defining the product vision and roadmap for our internal GenAI suite, which comprises voice copilots, risk intelligence agents, ops automation tools, regulatory AI assistants, and more. You will lead cross-functional teams to develop AI-powered workflows that reduce turnaround time, increase productivity, and enhance accuracy. Additionally, you will be responsible for making build vs. buy decisions utilizing vendors like OpenAI, Whisper, AssemblyAI, LangChain, among others. In this role, you will work hands-on with various AI technologies such as LLMs, embeddings, RAG pipelines, vector databases, and prompt tuning. It will be essential to design with explainability, fallback logic, and hallucination control as defaults. Monitoring success metrics like adoption rates, efficiency gains, and time saved will be crucial, and you will iterate quickly based on feedback to drive continuous improvement. Ensuring full alignment with regulatory bodies and internal compliance when deploying GenAI systems in critical workflows will be a key aspect of your role. You will also be responsible for maintaining cybersecurity standards as an integral part of product development, ensuring that products are built with security in mind from the outset. To be successful in this role, you should have at least 4+ years of product management experience, with at least 1 year in GenAI/ML/NLP-focused roles. A background in fintech, particularly in lending, collections, KYC, or regulatory operations, will be advantageous. A strong understanding of GenAI architecture, technical education background (in CS, Engineering, Data Science, or Applied Math), and experience working with data scientists, backend engineers, and legal/compliance teams are essential. An analytical mindset, the ability to define product KPIs, track outcomes, and excellent communication and stakeholder management skills are also crucial for excelling in this role.,

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. The company offers Agentic Systems for AI Agents through akira.ai, Vision AI Platform through xenonstack.ai, and Inference AI Infrastructure for Agentic Systems via nexastack.ai. THE OPPORTUNITY We are looking for a Forward Deployed Solutions Engineer Agentic Systems to partner closely with enterprise customers, understanding their business goals and designing tailored AI agent solutions that drive measurable outcomes. This role blends technical architecture, solution design, and on-the-ground enablement, ensuring successful deployment, adoption, and integration of XenonStack's Agentic AI platforms into complex enterprise environments. If you enjoy working directly with customers, solving high-impact problems, and shaping AI-powered transformation strategies, this role is for you. RESPONSIBILITIES Discovery & Solution Design: - Engage with client stakeholders to understand business workflows, challenges, and success metrics. - Design end-to-end AI agent solutions leveraging our Agentic Systems platforms. Technical Implementation Leadership: - Oversee integration of multi-agent orchestration, RAG pipelines, and context management into client environments. - Guide client engineering teams through deployment best practices. Configuration & Customization: - Develop tailored prompt templates, context flows, and tool integrations aligned with enterprise requirements. Enablement & Training: - Deliver workshops and hands-on sessions to upskill client teams in AgentOps, observability, and AI governance practices. Performance & ROI Tracking: - Establish metrics dashboards to track adoption, performance, cost efficiency, and business impact. Customer Advocacy: - Act as the voice of the customer to internal engineering and product teams, highlighting feature requests, workflow gaps, and optimization opportunities. Risk & Compliance Alignment: - Ensure deployed solutions meet enterprise security, compliance, and regulatory standards. SKILLS & QUALIFICATIONS Must-Have: - 4-6 years in solutions engineering, enterprise software delivery, or AI/ML consulting. - Strong technical understanding of LLM architectures, prompt engineering, and context pipelines. - Experience integrating agentic AI frameworks (LangChain, LangGraph, AgentBridge) into enterprise systems. - Familiarity with RAG, vector databases, and API/tool integration patterns. - Excellent client-facing communication and solution storytelling skills. - Ability to translate complex technical concepts into business-relevant outcomes. Good-to-Have: - Exposure to BFSI, GRC, SOC, or FinOps domains. - Familiarity with AI observability stacks and evaluation tools (Prometheus, OpenTelemetry, TruLens, Ragas). - Experience with compliance-driven deployments (GDPR, PCI-DSS, HIPAA). - Background in AI strategy consulting or transformation programs. CAREER GROWTH & BENEFITS Continuous Learning & Growth: - Certification sponsorships in AI solution architecture, multi-agent orchestration, and Responsible AI. - Hands-on exposure to enterprise AI transformations at scale. Recognition & Rewards: - Incentives for measurable customer impact and solution innovation. - Fast-track opportunities into AI Solutions Architecture 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.,