118 Vector Database Jobs

Job purpose: Design & implement the best-engineered technical solutions using the latest technologies and tools. Who You Are: Lead Python development efforts for GenAI and data engineering projects from architecture to deployment. Build and optimize LLM-powered pipelines, APIs, and services using OpenAI, Hugging Face, or similar frameworks. Architect and implement scalable data pipelines, transformation logic, and feature engineering for AI models. Collaborate with ML/AI scientists, data engineers, and product teams to deliver end-to-end GenAI solutions. Drive the integration of LLMs into real-time applications (e.g., chatbots, summarizers, copilots). Design and maintain efficient, reusable,...

Key Responsibilities Develop and maintain data ingestion pipelines using Azure Data Factory (ADF) and Databricks for structured and unstructured data. Create notebooks to process PDF and Word documents, including extracting text, tables, charts, graphs, and images. Apply NLP / Embedding Models (e.g., OpenAI, Hugging Face, sentence-transformers) to convert extracted content into embeddings. Store embeddings and metadata into Vector Databases (e.g., FAISS, Pinecone, Milvus, Weaviate, ChromaDB). Design and implement semantic search and retrieval workflows to enable prompt-based query capabilities. Optimize ETL pipelines for scalability, reliability, and performance. Collaborate with data scient...

Responsibilities: Design, develop, test & maintain Windows/Desktop software solutions using Python, ML/AI algorithms Work independently with minimal supervision and handle the projects end to end.

Role & responsibilities Data processing ML Ops apache spark Monitoring/Alerting ML Ops High (Prometheus, Grafana) Training Infrastructure ML Ops GPU Training/AWS/Azure Data Bases ML Ops Vector Databases Programming/ Scripting Language ML Ops Python ML Ops Pyspark

Position: Senior Backend Engineer Experience: 7+ Years Location: Remote We are seeking a Senior Backend Engineer to design, implement, and scale API, data, and infrastructure backbones that enable real-time AI-powered personalized learning experiences at global scale. Key Responsibilities Architect and maintain Fast API-based backend services for Smart Learns MVP. Design and optimize low-latency APIs supporting real-time lesson flows, tutor responses, and auto-grading feedback. Implement real-time RAG pipelines with ingestion (Playwright, Firecrawl, web scraping) and semantic retrieval (Pinecone, FAISS). Manage file ingestion workflows (PDFs, OCR, Firecrawl) with preprocessing and chunking p...

Gen AI Java Developer Location : PAN India Work Mode : Completely Remote Type : Full timers or Freelancers Start time : Immediate Job Title: Gen AI Java Developer Experience Required : 8+ Years Location : WFH About the Role : We are seeking a highly skilled and innovative Gen AI Java Developer to join our team. This role is ideal for someone with a strong Java development background and a passion for building intelligent systems using Generative AI technologies. You will be responsible for designing, developing, and deploying AI-powered applications that leverage large language models (LLMs), natural language processing (NLP), and machine learning frameworks. Key Responsibilities: Design and...

Exciting Opportunity: Data Scientist (AI DevOps / MLOps / LLMs / Cloud) Location: Bangalore Experience: 4 to 6 years Designation: Consultant Hi folks! I have got an exciting opportunity for a Data Scientist role with a strong focus on AI DevOps and MLOps . If you feel you're a good fit, feel free to apply or drop your resume directly at poonampal@kpmg.com . You can also reach out to me on LinkedIn! Skillset Required: CI/CD for ML/LLM models (MLflow, Kubeflow) Model lifecycle management, vector databases, inference services Monitoring tools: Prometheus, Grafana Cloud deployments using Terraform & Kubernetes Lets help each other grow and reach our goals together! Looking forward to connecting ...

CloudZenia seeks a Mid-level AI Solutions Engineer (47 yrs) skilled in GenAI/ML, Python, RAG, Agentic AI & AWS (SageMaker, Bedrock, Kendra). Build scalable AI/ML solutions, pipelines, and applications with security, performance, and cost in mind.

About the role- As an AI Engineer , you will be responsible for building and optimizing AI-first solutions that power BotPenguins conversational and Agentic capabilities. You will work on LLM integrations, NLP pipelines, and machine learning models, while collaborating with cross-functional teams to deliver intelligent experiences at scale. This is a high-impact role that combines engineering, research, and deployment skills to solve real-world problems using artificial intelligence. What you need for this role- Education: Bachelor's or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline. Experience: 2-5 years of experience working in AI/ML ...

This is Indias first AI-native investment bank for SMEs. Looking for a Founding CTO to scale our MVP, build AI-driven valuations, compliance automation, and deal-matching engines. Experience with data engineering, automation, product preferred.

Were Hiring: Data Engineer | Xebia Location : Any Xebia location (Hybrid, 3 days office per week) Experience : 6+ years Notice Period : Immediate to 2 weeks only apply if you can join early We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, SQL, and Postgres . The ideal candidate will also have hands-on experience with Vector Databases (pgvector, Qdrant, Pinecone, etc.) and exposure to Generative AI use cases such as RAG pipelines and embedding-based search . Key Skills & Expertise Proficiency in Python for data engineering (PySpark, pandas, APIs). Strong SQL skills for data modeling, optimization, and analytics. Hands-on expertise in Databricks (workflo...

Russell Investments is actively hiring for Artificial Intelligence, Analyst for Mumbai, Goregaon (E) location. Interested applicants please apply through below mentioned link: https://russell.wd5.myworkdayjobs.com/russellinvestments/job/Mumbai/Analyst--AI_R-03416 Job Description This role is responsible for supporting and growing the AI strategy, platform and deliverables at Russell Investments. We are looking for a curious and analytical individual who will research, develop, implement, and maintain processes to meet the needs of our AI strategy and deliver on business objectives. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world di...

We are looking for a hands-on AI/Agentic Engineer to build, integrate, and deploy AI agents, RAG (Retrieval-Augmented Generation) systems, and AI-powered applications. You will work across the full stack, from backend agent orchestration to AI-driven UIs, enabling scalable and high-performance AI solutions. Key Responsibilities Design, develop, and deploy AI agents and applications using modern AI frameworks. Implement RAG pipelines and integrate LLMs with structured and unstructured data sources. Build, maintain, and query vector databases for embeddings and semantic search. Collaborate with front-end developers to create AI-powered user interfaces when needed. Implement version control, CI...

We are looking for a hands-on AI Tech Lead who will own solution design and architecture , while also coding PoCs and guiding delivery teams. This role bridges strategic thinking and technical execution, helping bring cutting-edge Agentic AI and LLM-driven solutions from concept to production. Key Responsibilities Design end-to-end AI solutions and architecture aligned with business requirements. Develop PoCs and prototype AI-driven workflows to validate feasibility. Collaborate with delivery teams to ensure high-quality implementation. Evaluate and integrate LLMs, agentic frameworks, and enterprise tools for scalable deployments. Ensure observability, monitoring, and performance tracking of...

JOB Description- We are seeking a skilled, motivated, and quick-learner Full Stack Developer to join our team working on cutting-edge Gen AI development work. The successful candidate will be responsible for developing innovative applications and solutions using including frontend and backend. While the solutions will often utilize Retrieval Augmented Generation (RAG), Agentic frameworks the role will not be limited to this, and will involve various AI technologies. Duties and Responsibilities Develop and maintain web applications using Angular, NDBX frameworks, and other modern technologies. Design and implement databases in Postgres DB, apply & implement ingestion and retrieval pipelines u...

Role Overview: We are looking for an AI Full Stack Developer who can build scalable AI-powered web applications and platforms. The role demands proficiency in both frontend and backend development, integration of AI models via APIs, and deployment on cloud-native infrastructure. The ideal candidate should be comfortable working with LLMs, vector databases, and MLOps pipelines. Key responsibilities: Develop full-stack applications integrating AI/ML models. Build responsive UIs using React/Next.js or similar frameworks. Design backend services using Python (FastAPI, Flask) or Node.js Integrate LLMs and RAG pipelines via APIs and microservices Work with vector databases (FAISS, Pinecone, Weavia...

Job Title: AI Engineer / Senior AI Engineer Job Location: Remote Shift Timings: 12:00 PM IST to 9:00 PM IST https://www.linkedin.com/showcase/collaberagtc/ https://collabera.com/globaltalentcenter/ https://www.collabera.com/ https://www.youtube.com/@CollaberaGTC/videos https://instagram.com/collaberagtc?igshid=ZWQyN2ExYTkwZQ== Collabera, a leader in staffing Industry, is looking for AI Engineer / Senior AI Engineer Our employees work in fast paced, high energy work environment driven by our unique work culture that embraces competitiveness, passion and work hard-play hard approach to the fullest. Our clientele comprises of many Fortunes 100/500 organisations across various industry domains. ...

Key Responsibilities: Architect, build, and deploy scalable GenAI applications using OpenAI, and Retrieval-Augmented Generation (RAG) techniques. Design and orchestrate modular, reproducible, and robust data pipelines leveraging Kedro for end-to-end machine learning workflows. Integrate LangChain to develop advanced natural language workflows and enhance AI-powered applications. Take GenAI prototypes from concept to production, ensuring reliability, scalability, and maintainability in real-world environments. Containerize machine learning and GenAI solutions with Docker for seamless deployment and scalability across cloud and on-premises platforms. Collaborate with cross-functional teamsincl...

Unlock the future of intelligent automation with a visionary AI Developer who excels in crafting agentic AI applications that effortlessly connect with structured databases. If you're passionate about pushing technological boundaries, possess deep expertise in LLMs, RAG, and orchestration frameworks, and thrive on transforming complex business needs into scalable, AI-driven solutions, this is your opportunity to make a transformative impact. Key Responsibilities: Design and develop agentic bots powered by Large Language Models (LLMs) to interact with structured databases (SQL, Snowflake, etc.). Integrate AI agents with external tools and data sources using Model Context Protocol (MCP). Imple...

Job Summary: We are seeking an experienced and innovative Full Stack Developer with 58 years of experience in designing and developing scalable applications. The ideal candidate should have strong expertise in Python, Django, FastAPI, Microservices, and hands-on experience with GenAI applications and vector databases. This role requires a forward-thinking developer who can work on both backend and frontend, design microservices-driven architectures, and deploy GenAI-powered solutions in real-world use cases. Key Responsibilities: Design, develop, and maintain scalable microservices-based applications using Python frameworks (Django, FastAPI). Build and deploy containerized applications using...

Were seeking a forward-thinking Gen AI Engineer to design, implement, and optimize cutting-edge agentic AI solutions using frameworks such as Crew.ai , LangChain , and LangGraph . You will work at the intersection of LLMs , Retrieval-Augmented Generation (RAG) systems, and NLP , enabling impactful AI applications across diverse domains. Key Responsibilities Design and deploy autonomous AI agents and multi-agent systems using LLMs such as GPT-4o, Claude, and LLaMA, leveraging Crew.ai, LangChain (and LangGraph). Own the AI solution lifecycle , including data acquisition, model experimentation, fine-tuning, deployment, and production monitoring. Develop scalable AI backends and pipelines using ...

Role & responsibilities Job Title: Sr. Data Science Engineer (SSE) Job Location: Pune Job Description: Company Introduction Nitor Infotech, an Ascendion company, is a leader in innovative technology solutions, driving transformation across industries. Our dynamic culture fosters creativity and collaboration, making us a top choice for tech talent. Join us to be part of a team that values growth and excellence. Job Overview We are seeking a highly skilled GenAI Engineer with expertise in large language models (LLMs), prompt engineering, and GenAI solutions. This full-time position is remote , reporting to the Technical Manager . The ideal candidate will have hands-on experience with Azure Ope...

Job Description : Generative AI Developer (1- 4 Years) We are looking for a talented Generative AI Developer with 1- 4 years of experience to join our team and contribute to building next-generation AI-driven applications. The ideal candidate will have strong expertise in Python, AI agents, RAG pipelines, and practical experience across machine learning, deep learning, NLP, and computer vision. You will work on designing, developing, and deploying generative AI systems in production. Role & responsibilities Design, develop, and optimize AI agent workflows, including multi-agent systems and agentic RAG pipelines. Implement and maintain solutions using frameworks such as LangChain, LangGraph, ...

Role & responsibilities : LLM Expertise: Deep understanding of Large Language Models (LLMs) internals LLM APIs: Advanced experience with OpenAI GPT, Claude, Gemini, etc. RAG Systems: Proven experience building and optimizing Retrieval-Augmented Generation architectures Vector Databases: Hands-on with vector storage and similarity search systems ML/DL Fundamentals: Strong foundation in machine learning and deep learning Frameworks: Expert-level PyTorch, Transformers, and neural network implementations Backend Development: Advanced FastAPI development and API design Cloud Infrastructure: Extensive AWS experience with production deployments Containerization: Docker for development and deploymen...

Role & responsibilities Design, develop, and deploy agentic AI systems using cutting-edge frameworks and libraries. Integrate Large Language Models (LLMs) with reasoning and planning modules to enable autonomous task execution. Implement Retrieval-Augmented Generation (RAG) architectures for dynamic knowledge integration. Engineer effective prompts and workflows to optimize agent performance. Work with vector databases to store and retrieve semantic information efficiently. Apply computer vision techniques for perception and understanding in multimodal environments. Develop robust document processing pipelines for intelligent data extraction and analysis. Collaborate with cross-functional te...