73 Vector Database Jobs - Page 3

Role - Senior Data Scientist / Senior Gen AI Engineer Exp Range - 8 to 18 yrs Position - Permanent Fulltime Company - Data Analytics & AIML MNC Location - Hyderabad, Pune, Bangalore (Relocation accepted) About the Role: We are seeking a Software Engineer with expertise in Generative AI and Microsoft technologies to design, develop, and deploy AI-powered solutions using the Microsoft ecosystem. You will work with cross-functional teams to build scalable applications leveraging generative AI models and Azure services. Skills Required: Experience with Large Language Models (LLMs) like GPT, LLaMA, Claude, etc. Proficiency in Python for building and fine-tuning AI/ML models Familiarity with LangChain , LLMOps , or RAG (Retrieval-Augmented Generation) pipelines Experience with Vector Databases (e.g. FAISS, Pinecone, Weaviate) Knowledge of Prompt Engineering and model evaluation techniques Exposure to cloud platforms (Azure, AWS or GCP) for deploying GenAI solutions Preferred Skills: Experience with Azure OpenAI , Databricks or Microsoft Fabric Hands-on with Hugging Face Transformers , OpenAI APIs or custom model training

Position Overview: We are seeking highly motivated and innovative AI Agent Development Interns t. You will work with our AI and Oracle Cloud teams to build and prototype AI agents using Large Language Models (LLMs) integrated with Oracle Fusion Applications . This internship is ideal for students who want to work on cutting-edge AI use cases with direct business impact in enterprise environments. Key Responsibilities: Design and build AI agents using LLMs for Oracle Fusion modules: HCM, ERP, SCM, and Risk Management Integrate AI agent flows with Oracle Cloud APIs and datasets Collaborate with Oracle Fusion ERP, SCM, HCM & GRC specialists, data engineers, and cloud developers to refine models and workflows Actively participate in the entire project lifecycle from conceptualization, requirements gathering, and design, through to coding, rigorous testing, iterative refinement, and documentation Document your approach, challenges, and learning outcomes Qualifications: Currently pursuing a Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields Strong proficiency in Python, APIs, and LLM frameworks (e.g., OpenAI, LangChain, HuggingFace) Familiarity with Oracle Fusion Cloud or interest in enterprise applications is a strong plus Understanding of prompt engineering, embeddings, and agent orchestration Strong problem-solving skills, curiosity, and eagerness to learn new technologies Preferred Skills: Experience with tools like LangChain, VectorDB, or Retrieval-Augmented Generation (RAG) Familiarity with REST APIs, JSON, and webhooks Exposure to enterprise IT or cloud platforms (OCI, AWS, Azure, etc.) What You Will Gain: Real-world experience building AI applications for enterprise use Exposure to Oracle’s enterprise ecosystem and industry-leading risk solutions Mentorship from cloud, AI, ERP, SCM, HCM and GRC experts Opportunity to present your work in internal demos and client-facing forums Certificate of Completion and potential full-time offer Role & responsibilities

Hexaware is conducting Walkin Interview for Data Scientist (Agentic AI) _Navi Mumbai Location_ 18th May 25 (Sunday) We urgently looking for Immediate joiners/Early joiners. Interested Candidates can share CV at umaparvathyc@hexaware.com Experience range- 3yrs to 19yrs Notice period- 15 days/30days Max Interview Location (Face to Face)- Navi Mumbai Open Positions: 1. AI Engineer -3+yrs 2. Lead Agentic AI Developer -5+yrs 3. Data scientist Architect- 10_yrs MUST HAVE: Agentic AI, LLM, Advance RAG, NLP, transformer model, LangChain Technical Skill: 1. Knowledge of Agentic AI concepts and applications 2. Strong Experience in Data Scientist (GENAI) 3. Proficiency with Generative AI models like GANs, VAEs, and transformers 4. Expertise with cloud platforms (AWS, Azure, Google Cloud) for deploying AI models 5. Strong Python Fast API experience, SDA based implementations for all the APIs

Job Title: Senior Software Engineer / Tech Lead - Full Stack (React, Python, MongoDB, AI) Location: Bangalore, India (On-site) Type: Full-time Experience: 4 -10 years About the Role We are looking for a Senior Software Engineer / Tech Lead to join our fast-growing engineering team in Bangalore . This is a high-impact role for someone who thrives in a product company environment , enjoys solving complex problems, and can deliver secure, scalable, and AI-enabled systems fast. Youll work across the stack with ReactJS, Python, and MongoDB , integrating AI models or APIs where it drives real value. You bring a delivery-first mindset , care deeply about performance, scalability, and security , and are passionate about building high-quality production code that moves the needle for the business. What Youll Do Build and ship end-to-end features using React (frontend) , Python (backend APIs) , and MongoDB (data layer) . Contribute to architectural decisions, system design, and product shaping discussions. Integrate AI/ML models or LLM APIs into real-world product workflows. Deliver clean, maintainable, production-ready code — fast. Collaborate with product managers, designers, and other engineers to iterate quickly and smartly. Ensure systems are high-performing, secure, and scalable from day one. Own your work with pride and push for continuous improvement in code quality and delivery velocity. What We’re Looking For 4–10 years of experience in software development at product companies (mandatory). Strong proficiency in: ReactJS (modern component patterns, performance tuning) Python (FastAPI, Flask, Django) MongoDB (schema design, indexing, performance optimization) Hands-on experience in building and maintaining production systems with real users. Familiarity with AI/ML APIs , LLMs, or intelligent feature integrations is a strong plus. Experience working with cloud-native architectures (AWS/GCP), containerization (Docker), and CI/CD pipelines. A business-aware mindset — you understand the “why” behind what you build. Strong ownership, collaboration, and problem-solving skills. Bonus Points Exposure to Vector Databases , or AI agents . Built software in early-stage startups or fast-growing B2B platforms . Passion for shipping fast without compromising stability or scale. Why Join Us Join a mission-driven product company building intelligent, real-world solutions. Work in a builder-led, high-ownership culture Collaborate with world-class talent across engineering, product, and AI. If you’re passionate about building smart, scalable, and meaningful products — this is your platform.

Are you ready to shape the future of AI? As a Mid-Level Generative AI Engineer at Techolution, you'll be at the forefront of innovation, fine-tuning cutting-edge LLMs like Falcon, LLaMA, and PaLM 2. Dive deep into the world of NLP, vector databases, and deep learning frameworks to create groundbreaking solutions. Your expertise in Python, PyTorch, and TensorFlow will drive the development of next-generation AI applications. Join our dynamic team and turn visionary concepts into reality, while collaborating with cross-functional experts to integrate ML solutions that redefine industries. Designation: Generative AI Engineer Location: Hyderabad, India Employment Type: Full Time Expertise: Mid-Level Key Responsibilities Develop and implement cutting-edge generative AI solutions, leveraging LLMs and RAG techniques to solve complex business challenges and drive innovation. Design and optimize AI agents that automate tasks, enhance decision-making processes, and improve overall operational efficiency across various departments. ¢ Spearhead the implementation of vector databases to efficiently store and retrieve high-dimensional data, enabling faster and more accurate AI model performance. ¢ Lead the fine-tuning of pre-trained models, adapting them to specific use cases and improving their performance on domain-specific tasks. ¢ Collaborate with cross-functional teams to integrate generative AI capabilities into existing products and services, enhancing user experiences and creating new value propositions. ¢ Conduct thorough research on emerging deep learning techniques and architectures, staying at the forefront of AI advancements and applying them to real-world problems. ¢ Develop and maintain scalable AI pipelines that streamline data processing, model training, and deployment processes, ensuring efficient and reliable AI operations. ¢ Demonstrate strong ownership by taking responsibility for end-to-end AI project lifecycles, from concept to production deployment and ongoing optimization. ¢ Cultivate a seeker mindset by continuously exploring new AI methodologies and tools, actively contributing to the team's knowledge base and fostering a culture of innovation. ¢ Showcase passion towards work by eagerly tackling complex AI challenges, pushing boundaries, and consistently delivering high-quality solutions that exceed expectations. Foundational Skills ¢ Large Language Models (LLMs): Proven expertise in working with state-of-the-art LLMs, including fine-tuning, prompt engineering, and integration into production systems. ¢ Retrieval-Augmented Generation (RAG): Demonstrated ability to implement RAG techniques to enhance AI model performance and accuracy in information retrieval tasks. ¢ Fine-tuning: Proficiency in adapting pre-trained models to specific domains and tasks, optimizing their performance for targeted applications. ¢ Vector Databases: Hands-on experience with vector databases for efficient storage and retrieval of high-dimensional data in AI applications. ¢ Deep Learning: Strong foundation in deep learning principles and architectures, with the ability to apply them to solve complex real-world problems. ¢ Generative AI: Comprehensive understanding of generative AI techniques and their practical applications in various industries. ¢ AI Agents: Experience in designing and implementing AI agents that can autonomously perform tasks and make decisions. ¢ Ownership: Demonstrated ability to take full responsibility for projects, driving them from conception to successful completion. ¢ Seeker Mindset: Proactive approach to learning and exploring new technologies, constantly seeking ways to improve and innovate. ¢ Passionate Towards Work: Genuine enthusiasm for AI and its potential to transform industries, reflected in a commitment to excellence and continuous improvement. ¢ Extremely Ambitious: Drive to push boundaries and set high goals, both personally and for the team, to achieve groundbreaking results in AI development. ¢ Ability to Comprehend: Exceptional skill in quickly grasping complex AI concepts and translating them into practical, impactful solutions. Advanced Skills ¢ Computer Vision: Familiarity with computer vision techniques and frameworks, enabling the integration of visual data processing capabilities into AI solutions. ¢ Cloud Deployment: Experience with deploying AI models and applications on cloud platforms, ensuring scalability and reliability in production environments. ¢ Leadership Experience: Prior experience in leading small teams or mentoring junior engineers, demonstrating potential for future growth into leadership roles within the AI department. How to Apply If you are passionate about leveraging AI technologies to create impactful solutions and meet the qualifications listed above, we invite you to apply for this exciting opportunity by sharing your video resume. We look forward to hearing your story and exploring how your skills align with the goals of our team. As an equal opportunity employer, Techolution celebrates diversity and is committed to creating an inclusive environment for all employees. About Techolution At Techolution, we specialize in building custom AI solutions that deliver innovation and drive measurable outcomes for enterprises worldwide. With our specialized expertise we help businesses take AI from their labs into the real world. What We Do As your one-stop shop engineering firm, Techolution guides you from ideation to ROI realization. We ensure real-world AI success by minimizing R&D risks for our clients with our innovative fixed-bid pricing model. Our Unique Value Proposition ¢ White Glove Service: From Ideation Innovation Integration, we lead the way to deliver meaningful outcomes, enabling your team to operate AI solutions independently. ¢ Human-AI Partnership: Our Govern Guide Control (GGC) framework ensures responsible AI governance, aligning solutions with your organizational requirements and brand identity. ¢ Customized AI Solutions: We tailor AI to your enterprise needs, delivering from concept to implementation with our turnkey approach at a guaranteed price. Our Impact Techolution has partnered with 300+ clients worldwide, including 50+ Fortune 500 companies. Our growing team works across diverse sectors such as healthcare, education, retail, media, tech, banking, fintech, government, telecom, and manufacturing. Celebrating 9+ years in business, we are committed to AI Done Right! Awards & Recognition ¢ 2024: Forbes publishes the best-selling book by our CEO, "Failing Fast?: The 10 Secrets to Succeed Faster." ¢ 2023: AI Solutions Provider of the Year - AI Summit ¢ 2022: Best in Business Award - Inc. Magazine ¢ 2021: Best Cloud Transformation Consulting - CIO Review ¢ 2019: Inc. 500 Fastest Growing Company Award Take a Look At Our Accelerators ¢ Enterprise LLM Studio ¢ AppMod.AI ¢ ComputerVision.AI ¢ Robotics and Edge Device Fabrication ¢ RLEF AI Platform Some Videos You Wanna Watch! ¢ About Techolution ¢ Transform Customer Service with Techolution ¢ GoogleNext 2023 ¢ Conversational AI for Enterprise ¢ Realytics AI Success Story Visit us at www.techolution.com to know more about our revolutionary core practices and how we enrich the human experience with technology.

Position - AI Engineer As an AI Engineer, you will design, implement, and optimize machine learning models and AI systems to solve complex problems. You will work closely with cross-functional teams to integrate AI solutions into our products and services, ensuring scalability and efficiency. Key Responsibilities: Application Development: Design and develop AI-powered applications using state-of-the-art LLM models and generative AI techniques. Implement scalable solutions that integrate LLM-powered tools into existing workflows or standalone products. Model Optimization: Fine-tune pre-trained LLM models to meet specific application requirements. Optimize model performance for real-time and high-throughput environments. LLMOps Implementation: Develop and maintain pipelines for model deployment, monitoring, and retraining. Set up robust systems for model performance monitoring and diagnostics. Ensure reliable operations through analytics and insights into model behavior. Vector Databases and Data Management: Utilize vector databases for efficient storage and retrieval of embeddings. Integrate databases with LLM applications to enhance query and recommendation systems. Collaboration and Innovation: Work closely with cross-functional teams, including product managers, data scientists, and software engineers. Stay up-to-date with advancements in generative AI and LLM technologies to drive innovation. Skills and Experience 3+ years of experience in AI/ML development, with a focus on generative AI and LLMs. Proficiency in programming languages such as Python and frameworks like PyTorch or TensorFlow. Hands-on experience in fine-tuning and deploying LLM models (e.g., GPT, BERT, etc.). Familiarity with LLMOps practices, including pipeline automation, monitoring, and analytics. Experience with vector databases (e.g., Pinecone, Weaviate, or similar). Strong knowledge of natural language processing (NLP) and machine learning principles. You should certainly apply if: Understanding of MLOps principles and cloud platforms (AWS, GCP, Azure). Familiarity with prompt engineering and reinforcement learning from human feedback (RLHF). Experience in building real-time applications powered by generative AI. Knowledge of distributed systems and scalable architectures.

Job Title: Technology AI Engineer Location: Gurugram (Onsite) Experience: 2+ Years Budget: Open Job Overview: We are looking for a highly skilled Technology AI Engineer who is proficient in both front-end and back-end development. The ideal candidate should have hands-on experience working with Large Language Models (LLMs), AI architecture, data structures, and AI prompt engineering . The role requires expertise in building APIs , working with OpenAI, Llama, and Anthropic models , and creating scalable AI-powered applications. Key Responsibilities: Develop and optimize AI-based applications leveraging LLMs. Design and implement scalable AI architectures and data structures to support AI functionalities. Build and manage AI-driven APIs for back-end integration. Work with OpenAI, Llama, and Anthropic models to develop AI solutions. Collaborate with data scientists and AI researchers to fine-tune and deploy models. Develop secure and efficient backend services using modern frameworks. Implement front-end components to integrate AI capabilities into user interfaces. Monitor and improve the performance of AI-driven applications. Required Skills & Qualifications: 2+ years of experience in Full Stack Development (Frontend & Backend) Strong experience in AI Model Integration (OpenAI, Llama, Anthropic) Solid understanding of AI architecture and data structure development Expertise in API Development and AI-driven applications Proficiency in Python, JavaScript, or similar technologies Hands-on experience with cloud platforms (AWS, GCP, or Azure) Experience with Vector Databases and Retrieval-Augmented Generation (RAG) is a plus Strong problem-solving skills and ability to optimize AI workflows

As an AI/ML Engineer, you will be responsible for developing applications and systems that utilize AI and ML to improve performance and efficiency. Your typical day will involve working with LLMs, deep learning, neural networks, chatbots, natural language processing, and Cloud Data Architecture. Roles & Responsibilities: - Design and develop scalable and reliable AI-based applications and systems using Azure Cloud Data Architecture. - Collaborate with cross-functional teams to identify business requirements and translate them into technical solutions. - Implement and maintain AI models, including deep learning, neural networks, chatbots, and natural language processing. - Ensure AI-based applications and systems' performance, scalability, and reliability. - Stay updated with the latest advancements in AI and machine learning technologies and integrate innovative approaches for sustained competitive advantage. Professional & Technical Skills: - Must have Skills: Azure AI studio, Azure Open AI, and Cloud Data Architecture. - Must have experience in writing custom LLMs - Strong understanding of AI and machine learning technologies, including deep learning, neural networks, chatbots, and natural language processing. - Experience in designing and developing scalable and reliable AI-based applications and systems. - Experience in implementing and maintaining AI models. - Experience in ensuring AI-based applications and systems' performance, scalability, and reliability. - The candidate should have a minimum of 4 years of experience in AI/ML and cloud. - The ideal candidate will possess a strong educational background in computer science, AI, or a related field, along with a proven track record of delivering impactful AI-driven solutions.

Role & responsibilities Urgent Hiring for one of the reputed MNC Immediate joiners Only Females Bang / Pune / Hyd Exp - 4 - 12 Years Job Description: Senior Data Scientist - Multi-Agent AI Systems About the Role We are seeking an exceptional Data Scientist with specialized expertise in developing multi-agent AI systems. In this role, you will design, implement, and optimize complex AI ecosystems where multiple intelligent agents collaborate to solve sophisticated problems. You will leverage your deep understanding of generative AI, retrieval-augmented generation (RAG), and prompt engineering to create cutting-edge solutions that push the boundaries of artificial intelligence. Key Responsibilities 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 Implement efficient knowledge sharing mechanisms between AI agents Write clean, efficient, and well-documented Python code for production-ready AI systems Collaborate with cross-functional teams to integrate multi-agent systems into broader product ecosystems Stay at the forefront of AI research and incorporate state-of-the-art techniques into our solutions Required Qualifications Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field 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 Experience designing and implementing generative AI-based multi-agent architectures Excellent problem-solving skills and ability to optimize complex AI systems Preferred candidate profile Experience with LangChain, AutoGPT, CrewAI, or similar frameworks for building agent-based systems Familiarity with orchestration tools for managing complex AI workflows Knowledge of agent communication protocols and collaborative problem-solving frameworks Experience with distributed systems and cloud computing platforms (AWS, GCP, Azure) Contributions to open-source AI projects or research publications in relevant fields Experience with knowledge graphs and semantic reasoning systems Familiarity with MLOps practices and deployment of AI systems at scale

5+ years of experience in product development, with at least 2 years focused on AI-based SaaS products. Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features. Candidate should have strong experience in Python based framework, langchain, langgraph (LLM), RAG models, Vector databases, Machine learning, semantic search. Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms. Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud). Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs. Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments. Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization. Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success. Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

EXCELRA IS HIRING FOR GENAI ENGINEER - REMOTE LOCATION - APPLY NOW!!!! Key Responsibilities: Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI. Implementing AI models: This involves building and integrating AI models into existing systems and applications. Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering. Data preprocessing and analysis: This involves preparing data for use in AI models. Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders. Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments. Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results. Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks. Required Skills: Strong programming skills in Python: Python is the preferred language for AI development. Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively. Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines. Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries. Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization. Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments. Excellent communication and problem-solving skills: This includes the ability to communicate complex technical concepts to non-technical stakeholders.

Job Description: As a Senior Data Scientist, you will drive data science initiatives from conception to deployment, crafting advanced ML models and providing mentorship to junior colleagues. Collaborate seamlessly across teams to integrate data-driven solutions and maintain data governance compliance. Stay abreast of industry trends, contribute to thought leadership, and innovate solutions for intricate business problems. Responsibilities: Lead and manage data science projects from conception to deployment, ensuring alignment with business objectives and deadlines. Develop and deploy AI and statistical algorithms to extract insights and drive actionable recommendations from complex datasets. Provide guidance and mentorship to junior data scientists on advanced analytics techniques, coding best practices, and model interpretation. Design rigorous testing frameworks to evaluate model performance, validate results, and iterate on models to improve accuracy and reliability. Stay updated with the latest advancements in data science methodologies, tools, and technologies, and contribute to the team's knowledge base through sharing insights, attending conferences, and conducting research. Establishing and maintaining data governance policies, ensuring data integrity, security, and compliance with regulations. Qualifications: 5+ Years of prior analytics and data science experience in driving projects involving AI and Advanced Analytics. 3+ Years Experience in Deep Learning frameworks, NLP/Text Analytics, SVM, LSTM, Transformers, Neural network. In-depth understanding and hands on experience in working with Large Language Models along with exposure in fine tuning open source models for variety of use case. Strong exposure in prompt engineering, knowledge of vector database, langchain framework and data embeddings. Strong problem-solving skills and the ability to iterate and experiment to optimize AI model behavior. Proficiency in Python programming language for data analysis, machine learning, and web development. Hands-on experience with machine learning libraries such as NumPy, SciPy, and scikit-learn. Experience with distributed computing frameworks such as PySpark and Dask. Excellent problem-solving skills and attention to detail. Ability to communicate effectively with diverse clients/stakeholders. Education Background: Bachelors in Computer Science, Statistics, Mathematics, or related field. Tier I/II candidates preferred.

Experience: 3+ years of experience in designing and developing AI solutions. Qualification: Bachelor s degree in Computer Science, Data Science, or a related field (e.g., Mathematics, Engineering) Location: Should be based out of Surat or ready to relocate to Surat Position Overview We are seeking a highly skilled and experienced Senior AI/ML Developer to lead the development and integration of advanced AI solutions within our product ecosystem. This role involves close collaboration with cross-functional teams including product managers, data scientists, and engineers to build AI models that solve real-world integration challenges. The ideal candidate will have a strong foundation in machine learning, deep learning, and software development, along with hands-on experience deploying AI models in production environments. What Youll Be Doing Collaborating with product managers, engineers and data scientists to align AI solutions with product functionalities. Designing and developing AI models for challenges like document data extraction, data transformation, pattern recognition and data mapping Applying machine learning algorithms and deep learning architectures and transformer models to build scalable AI models. Working with data engineers to prepare, clean, and transform data for AI applications. Training, evaluating, optimizing and fine-tuning AI models to ensure high performance and accuracy. Monitoring deployed AI functionalities, troubleshooting issues, and driving continuous improvement. Research and build innovative solutions to relevant AI problems, including Retrieval-Augmented Generation (RAG), semantic search, knowledge representation, tool usage, fine-tuning, and reasoning in LLMs. Keeping abreast of the latest AI research, trends, and innovations relevant to integration technologies. What You Bring to the Table Bachelors degree in computer science, Data Science, Mathematics, Engineering, or a related field. 3+ years of experience in designing and implementing AI/ML solutions. Demonstrated ability to integrate AI models into production software. Excellent analytical thinking, communication, and problem-solving abilities. Ability to work autonomously as well as in a collaborative team setup. Skills Required Dataset Development: Strong track record of building datasets for training and/or evaluating machine learning models. LLM and NLP Experience: Hands-o n experience working with LLMs, RAG architecture, Natural Language Processing (NLP), or applying Machine Learning to solve real-world problems. Experience with LLM fine-tuning, prompt engineering, vector databases (e.g., Pinecone, FAISS) is highly desirable. Test Harness Automation for LLM Agents Familiarity with agent frameworks (e.g., Semantic Kernel, AutoGen, Lang Chain, etc.). Proficiency in Python and libraries like Pandas, NumPy, Scikit-learn, etc. containerization (Docker), and API frameworks (Flask, Fast API). Integration Knowledge: API development, data transformation, system integration Soft Skills: Communication, teamwork, adaptability, critical thinking

Role Overview: Own the design, testing, and productionization of prompt systems that power: AI search visibility for client brands (ChatGPT, Perplexity, Gemini, Copilot) Creative & analytics workflows (ad copy, briefs, summaries, reports) Internal agents/automations (RAG, structured outputs, guardrails, evals) Key Responsibilities (KRAs) Prompt Architecture: System/few-shot patterns, tool/function calling, multi-turn flows, structured JSON outputs. Quality & Evals: Golden datasets, offline/online evals, regression tests; track accuracy, coverage, drift, latency, token cost. RAG & Contexting: Chunking/embeddings, retrieval, caching/fallbacks, context-window tuning. Guardrails & Safety: Schema validation, moderation/PII checks, safety policies. Cost & Performance: Optimize tokens, latency, hit rates; set budgets/alerts; observability & prompt versioning. Shipping: Turn prototypes into lightweight services/APIs; write runbooks; enable SEO/Creative/Reporting teams with reusable libraries. Requirements (Must-Haves first, then Nice-to-Haves) Must-Haves 14 years in LLM apps / data / backend or a strong portfolio of shipped LLM projects. Hands-on with a major model provider (OpenAI/Anthropic/Google) incl. JSON/function calling. Practical RAG: embeddings + chunking + retrieval with a vector DB (any). Built an evaluation setup (golden set / A/B) and used it to improve quality. Structured outputs with schema validation; can debug formatting failures robustly. Comfortable with Python or JS, APIs/Postman, Git, basic SQL. Clear written communication and documentation Nice-to-Haves SEO/SEM or content ops exposure (schemas/FAQs, citations, ad creatives). Analytics/GA4 reporting or data-to-text generation. Guardrails: moderation, PII redaction, jailbreak resistance. LangChain/LlamaIndex, Pinecone/Weaviate/pgvector; caching; worker queues. Multi-lingual prompts; eval at scale; feature flags/canary releases.

Were looking for a skilled Generative AI Developer to build agentic AI solutions using Dify.ai or similar platforms (LangChain, LlamaIndex, Haystack). Youll design and implement intelligent, autonomous AI agents and workflows that solve real business problems. Key Responsibilities Develop agentic AI workflows with Dify.ai, LangChain, or LlamaIndex Build and integrate autonomous AI agents and RAG pipelines with vector databases (Milvus, Pinecone, Qdrant, FAISS, Weaviate) Integrate LLMs (GPT, Claude, LLaMA, Mistral, Gemini, etc.) into business solutions Extend platforms via APIs, plugins, and custom backend logic (Python) Collaborate with product and engineering teams to deliver scalable AI applications Deploy solutions with Docker (Kubernetes a plus) Required Skills 4 to 9 years in software engineering or AI/ML development Practical experience with agentic AI workflows (Dify.ai, LangChain, LlamaIndex, Haystack, etc.) Strong Python skills; experience with vector databases & RAG Familiarity with React or TypeScript (for UI/workflows) API integration and deployment with Docker

We are seeking a visionary and hands-on Java Full Stack Solution Architect to lead the design, development, and delivery of modern, AI-driven enterprise solutions. This role is embedded within the Enterprise Architecture Team, playing a pivotal part in shaping technology strategies, leading high-performing engineering teams, and engaging directly with clients across pre-sales and delivery. Key Responsibilities Design scalable, secure full-stack architectures (Java, Spring Boot, React/Angular, Microservices). Integrate AI-driven features (chatbots, recommendations, intelligent search). Lead cloud-native architecture and modernization initiatives. Engage in pre-sales, RFP responses, and client workshops. Mentor developers and junior architects; review code and designs. Prototype AI components and guide their implementation. - Collaborate across teams to deliver AI-enabled digital platforms. Advise on enterprise AI roadmap and innovation strategy. Required Skills & Experience Proficient in Java, Spring Boot, REST APIs, React/Angular, GraphQL. Python proficiency for AI/ML prototyping and integration. Hands-on with AI/ML services and APIs from AWS (e.g., Bedrock, SageMaker, Comprehend), Azure (e.g., Azure OpenAI, Cognitive Services), and GCP (e.g., Vertex AI, PaLM API). Expert in Microservices, Docker, Kubernetes, CI/CD, Terraform. Experience with AWS/Azure/GCP including compute, storage, networking, and AI/ML services. Hands-on with serverless architecture using AWS Lambda, Azure Functions, or Google Cloud Functions. Knowledge of Kafka, RabbitMQ, ActiveMQ, AWS SNS/SQS, Google Pub/Sub, and MQTT protocol. Experience with vector databases and traditional/cloud databases (PostgreSQL, MySQL, DynamoDB, Cosmos DB, MongoDB, Redis etc.,). Strong understanding of event-driven architecture, stream processing, and real-time data handling. Strong understanding of enterprise security across on-prem and cloud environments, including: -IAM (AWS IAM, Azure AD, GCP IAM), network security (VPCs, NSGs, firewalls) -Encryption (at rest and in transit), OAuth2, OIDC, SSO, API security best practices -Integration with enterprise identity systems (LDAP, Active Directory) -Compliance standards (GDPR, HIPAA, etc., ), DevSecOps, and secure SDLC Hands-on with monitoring, logging, and observability tools including Prometheus, Grafana, ELK/EFK Stack, CloudWatch, Azure Monitor, GCP Operations Suite, OpenTelemetry etc., - Strong customer-facing and pre-sales exposure. - 12+ years in software engineering, 5+ years in solution architecture. - Excellent leadership, communication, and mentoring skills. Qualifications Bachelors or Masters in Computer Science or related field. Preferred certifications include Cloud Architect (AWS/Azure/GCP), AI/ML (Google ML, Azure AI Engineer), and TOGAF or SAFe. Why Join Us? Be a core member of the Enterprise Architecture Team, driving AI-driven digital strategies. Shape the future of enterprise platforms with cutting-edge technologies, collaborate with visionary clients, and lead transformative engagements in an innovation-first culture.

Name of requirement - Generative AI Engineer Skill Category - Strong hands-on experience with LLMs and SLMs, including integration of open-source models, prompt engineering, evaluation, and fine-tuning techniques. Good Hands-on experience with vector databases, embeddings, and Azure AI Search integration for semantic retrieval. Skillset Keywords - Generative AI Engineer Exp. - Overall, 8-10 years combined experience in IT Work Type Location - Bangalore

We are looking for a Senior Data Scientist with hands-on experience in Generative AI (GenAI) to drive innovation through cutting-edge AI/ML solutions. This role involves designing and implementing GenAI models and pipelines that solve business problems and enhance productivity. You will collaborate with cross-functional teams to deliver solutions using large language models (LLMs), transformers, and other generative techniques. Key Responsibilities: Develop and fine-tune Generative AI models using LLMs (e.g., GPT, LLaMA, Claude, PaLM) for tasks like summarization, content generation, question answering, semantic search, etc. Build end-to-end GenAI-powered solutions including prompt engineering, model training/fine-tuning, evaluation, and deployment. Use frameworks like LangChain, LlamaIndex , and vector databases (e.g., FAISS , Pinecone , Weaviate ) to build RAG (Retrieval-Augmented Generation) pipelines. Collaborate with product, engineering, and business stakeholders to identify AI opportunities and prototype solutions. Conduct experiments , evaluate model performance, and optimize for accuracy, latency, and relevance. Contribute to the development of GenAI best practices and reusable assets within the organization. Stay up to date with the latest research and developments in the GenAI and LLM space. Required Skills and Experience: 5+ years of experience in Data Science or AI roles, with 2+ years in GenAI or LLMs . Strong Python skills and experience with transformers, Hugging Face, PyTorch, or TensorFlow . Deep understanding of NLP, language modeling, and generative techniques . Experience with prompt engineering , fine-tuning or few-shot learning. Hands-on experience with LangChain , LlamaIndex , or similar GenAI orchestration frameworks. Working knowledge of vector stores , embedding models , and retrieval techniques . Experience with model deployment in cloud or hybrid environments (e.g., Azure, AWS, GCP). Familiarity with MLOps tools and best practices is a plus. Preferred Qualifications: Masters or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. Experience with OpenAI , Anthropic , Meta AI , or Google Cloud GenAI APIs. Background in chatbot development , co-pilot solutions , or enterprise GenAI applications . Publications or contributions to open-source projects in the GenAI space are a plus.

Role: Lead Python/AI Developer Experience: 6/6+ Years Location: Ahmedabad (Gujarat) Roles and Responsibilities: ¢ ¢ Helping the Python/AI team in building Python/AI solutions architectures leveraging source technologies Driving the technical discussions with clients along with Project Managers. Creating Effort Estimation matrix of Solutions/Deliverables for Delivery Team Implementing AI solutions and architectures, including data pre-processing, feature engineering, model deployment, compatibility with downstream tasks, edge/error handling. ¢ Collaborating with cross-functional teams, such as machine learning engineers, software engineers, and product managers, to identify business needs and provide technical guidance. Mentoring and coaching junior Python/AI/ML engineers. Sharing knowledge through knowledge-sharing technical presentations. Implement new Python/AI features with high quality coding standards. ¢ ¢ ¢ Must-To Have: ¢ ¢ ¢ ¢ ¢ ¢ B.Tech/B.E. in computer science, IT, Data Science, ML or related field. Strong proficiency in Python programming language. Strong Verbal, Written Communication Skills with Analytics and Problem-Solving. Proficient in Debugging and Exception Handling Professional experience in developing and operating AI systems in production. Hands-on, strong programming skills with experience in python, in particular modern ML & NLP frameworks (scikit-learn, pytorch, tensorflow, huggingface, SpaCy, Facebook AI XLM/mBERT etc.) Hands-on experience with AWS services such as EC2, S3, Lambda, AWS SageMaker. Experience with collaborative development workflow: version control (we use github), code reviews, DevOps (incl automated testing), CI/CD. ¢ ¢ ¢ ¢ ¢ Comfort with essential tools & libraries: Git, Docker, GitHub, Postman, NumPy, SciPy, Matplotlib, Seaborn, or Plotly, Pandas. Prior Experience in relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB). Experience in working in Agile methodology Good-To Have: ¢ ¢ ¢ ¢ ¢ A Masters degree or Ph.D. in Computer Science, Machine Learning, or a related quantitative field. Python framework (Django/Flask/Fast API) & API integration. AI/ML/DL/MLOops certification done by AWS. Experience with OpenAI API. Good in Japanese Language.

Job Summary: We are seeking a highly skilled Senior Data Engineer with 8-10 years of experience in building scalable data solutions and a solid understanding of AI/ML workflows. The ideal candidate will have expertise in data engineering , cloud platforms , and machine learning integration , and will work closely with data scientists, ML engineers, and software developers to operationalize intelligent data systems. Key Responsibilities: Design and implement data pipelines for structured, semi-structured and unstructured data from diverse sources (real-time and batch). Develop and maintain data lakes, data warehouses, and feature stores for scalable ML model training and inference. Collaborate with AI/ML teams to build model-ready datasets , automate feature extraction, and streamline MLOps workflows. Optimize data systems for performance, scalability, security , and cost-efficiency . Build and manage ETL/ELT processes using tools like Apache Airflow , dbt , or custom Python jobs. Integrate real-time streaming data using Kafka, Spark Streaming, or Flink for use cases like fraud detection, recommendation engines, etc. Work with cloud services (AWS/GCP/Azure) to provision infrastructure and deploy production-grade systems. Implement data governance, quality checks, and monitoring to ensure trust in data pipelines. Collaborate in cross-functional teams using Agile methodologies and DevOps best practices. Required Skills & Qualifications: Core Data Engineering: 5+ years in data engineering roles , designing complex pipelines and data architectures. Strong command of Python and SQL for ETL, data Wrangling, and scripting. Experience with Apache Spark , PySpark , Kafka , or Flink . Hands-on with data orchestration tools like Airflow , Dagster , or Prefect . Proficient in data modeling , partitioning , and schema design for analytics and ML. Cloud & DevOps: 3+ years working on cloud platforms : AWS (S3, Redshift, EMR, Glue), GCP (BigQuery, Dataflow), or Azure (ADF, Synapse). Experience with Terraform , CloudFormation , or infrastructure-as-code is a plus. Familiar with containerization using Docker and CI/CD for data pipelines. AI/ML Integration: Familiar with ML lifecycle , including feature engineering, model versioning, and deployment. Worked with tools like MLflow , Kubeflow , Vertex AI , or SageMaker . Exposure to AI frameworks like TensorFlow , PyTorch , or scikit-learn . Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search is a plus. Other Skills: Excellent understanding of data privacy, security, and compliance Strong communication skills to collaborate with business and technical stakeholders. Problem-solving mindset with attention to performance and reliability. Preferred Qualifications: Bachelor's or Master's in Computer Science, Engineering, or Data-related field. Certifications in cloud platforms (AWS/GCP/Azure) or Databricks . Published work, contributions to open-source, or AI/data blogs are a plus.

Job Description: Join DigiAlly , a cutting-edge fintech innovator enabling digital trust between SMEs and financial institutions across India and Southeast Asia using Generative AI , LLMs , and behavioral intelligence platforms . We are hiring a Senior Generative AI Engineer to lead the development of AI copilots , prompt/RAG workflows , and LLM-integrated decision systems using platforms like Amazon Bedrock and Google Vertex AI . Key Responsibilities: Design & optimize LLM prompts and context flows for fintech use cases. Build retrieval-augmented generation (RAG) systems using LangChain, LangFlow, Semantic Kernel. Integrate GenAI outputs with structured ML signals (fraud detection, risk scoring). Develop internal GenAI UIs using Streamlit, Gradio , or integrate with React.js frontends. Support deployment via AWS (Lambda, S3, API Gateway, EC2) for scalable delivery. Participate in prompt testing, evaluation loops , and ensuring LLM safety & grounding . Required Skills: 2+ years hands-on experience with LLMs, GenAI tools , or prompt/RAG engineering. Strong programming in Python , and exposure to LangChain / LangFlow / Semantic Kernel . Platform experience: Amazon Bedrock , Google Vertex AI , OpenAI , or Claude APIs . Knowledge of Vector DBs (Pinecone, FAISS) and embedding pipelines. API integration with Flask/FastAPI/Node.js ; familiarity with React is a plus. Strong communication, debugging, and product-collaboration mindset. Preferred Skills (Bonus): Frontend prototyping using Streamlit or Gradio Experience with chatbot frameworks or code/document automation via GenAI Understanding of Mermaid, AST parsing , or diagram generation for code assistants Familiarity with DevOps basics , version control, and CI/CD pipelines Education: B.Tech/B.E. in Computer Science / Engineering / AI-ML / Related Field M.Tech / M.Sc / MCA preferred (not mandatory)

5+ years in AI/ML engineering with 2+ years on LLM/agentic systems Deep expertise in prompt engineering, RAG architectures and vector databases Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD

-5+ years in AI/ML Eng with 2+ years on LLM/agentic systems -Deep expertise in prompt engineering, RAG architectures and vector databases -Proficient in Python, cloud (AWS Preferred ), Docker/Kubernetes and CI/CD -C2H role, imm joiner Hybrid mode