62 Vector Db Jobs - Page 3

Job Description: We are looking for a skilled Data / Analytics Engineer with hands-on experience in vector databases and search optimization techniques . You will help build scalable, high-performance infrastructure to support AI-powered applications like semantic search , recommendation systems , and RAG pipelines . Key Responsibilities: Optimize vector search algorithms for performance and scalability. Build pipelines to process high-dimensional embeddings (e.g., BERT , CLIP , OpenAI ). Implement ANN indexing techniques like HNSW , IVF , PQ . Integrate vector search with data platforms and APIs . Collaborate with cross-functional teams (data scientists, engineers, product). Monitor and resolve latency , throughput , and scaling issues. Must-Have Skills: Python AWS Vector Databases (e.g., Elasticsearch , FAISS , Pinecone ) Vector Search / Similarity Search ANN Search Algorithms HNSW , IVF , PQ Snowflake / Databricks Embedding Models – BERT , CLIP , OpenAI Kafka / Flink for real-time data pipelines REST APIs , GraphQL , or gRPC for integration Good to Have: Knowledge of semantic caching and hybrid retrieval Experience with distributed systems and high-performance computing Familiarity with RAG (Retrieval-Augmented Generation) workflows Apply Now if You: Enjoy solving performance bottlenecks in AI infrastructure Love working with cutting-edge ML models and search technologies Thrive in collaborative , fast-paced environments

V2Soft India Pvt Ltd Experience: 10+ years of experience in the field of AI and ML ( Machine Learning ) Overall Experience : Location: Bangalore and Chennai Work Mode: Hybrid Mode: Notice Period: Immediate to 30 days Experience : 3 Years of relevant experience and previous work in any related AI is a plus. Gen AI Experience Text embeddings Vector DB AI Frameworks [ Lang chain / Lama Index/ Language Graph ] Prompt Engineering & Techniques RAG ( Retrieve Augment and Generate ) MCP ( Model Context Protocol ) Agentic AI LLM ( Large Language Models , both open source and proprietary ) Measuring Model Accuracy Deploying Models on-prem and on the cloud

We are seeking a highly skilled and innovative Data Engineer to join our dynamic team. This role is ideal for professionals passionate about building scalable data pipelines and enabling machine learning and analytics at scale. Youll play a key role in designing and implementing systems that support real-time and batch data processing for advanced AI-driven use cases, including Retrieval-Augmented Generation (RAG). Key Responsibilities: Develop, maintain, and scale data pipelines using Airflow (preferably Metaflow ) and other orchestration tools. Design microservices-based data solutions to support AI/ML initiatives. Work with vector databases to optimize data retrieval for RAG and generative AI models. Collaborate with data scientists, ML engineers, and software engineers to integrate data engineering solutions into broader systems. Ensure data quality, reliability, and governance across all data pipelines and storage layers. Required Skills: Proficiency in Python for data processing, scripting, and service development. Experience with Airflow (Metaflow preferred) or other workflow orchestration tools. Strong knowledge of Microservices architecture and REST APIs. Familiarity with RAG (Retrieval-Augmented Generation) frameworks and concepts. Experience with Vector databases (e.g., Pinecone, FAISS, Weaviate, Qdrant). Solid understanding of data modeling, ETL/ELT processes, and cloud data platforms.

Senior AI Developer Experience: 4 - 6 Years Exp Salary : INR 20-30 Lacs per annum Preferred Notice Period : Within 60 Days Shift : 2:30PM to 11:30PM IST Opportunity Type: Hybrid (Hyderabad) Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : AI RAG, Fast or Flask API, Vector DB, postgresql, Python, Langchain OR Llama Good to have skills : Grafana or Prometheus, Docker, Kubernetes K-3 Innovations (One of Uplers' Clients) is Looking for: Senior AI Developer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description About K3-Innovations K3-Innovations, Inc. is building a cutting-edge, AI-driven SaaS platform that automates critical workflows in the biopharma industry. We are expanding our team with an AI RAG Engineer who will help us design and optimize retrieval-augmented generation (RAG) pipelines for knowledge workflows. This role combines deep expertise in database design, vector search optimization, backend architecture, and LLM (Large Language Model) integration. You will play a key role in building a scalable AI platform, bridging structured and unstructured biopharma data with next-generation AI. If you're passionate about building intelligent retrieval systems, fine-tuning prompt pipelines, and optimizing LLM-based applications for real-world datasets, we want to hear from you! Key Responsibilities 1. RAG Pipeline Design and Optimization (Priority #1) Architect and implement retrieval-augmented generation pipelines integrating document retrieval and LLM response generation. Design and maintain knowledge bases and vector stores using tools like FAISS, Weaviate, or PostgreSQL PGVector. Optimize retrieval mechanisms (chunking, indexing strategies, reranking) to maximize response accuracy and efficiency. Integrate context-aware querying from structured (Postgres) and unstructured (text/PDF) sources. 2. Database and Embedding Management Design relational schemas to support knowledge base metadata and chunk-level indexing. Manage embeddings pipelines using open-source models (e.g., HuggingFace sentence transformers) or custom embedding services. Optimize large-scale vector search performance (indexing, sharding, partitioning). 3. LLM and Prompt Engineering Develop prompt engineering strategies for retrieval-augmented LLM pipelines. Experiment with prompt chaining, memory-augmented generation, and adaptive prompting techniques. Fine-tune lightweight LLMs or integrate APIs from OpenAI, Anthropic, or open-source models (e.g., LlamaIndex, LangChain). 4. Backend API and Workflow Orchestration Build scalable, secure backend services (FastAPI/Flask) to serve RAG outputs to applications. Design orchestration workflows integrating retrieval, generation, reranking, and response streaming. Implement system monitoring for LLM-based applications using observability tools (Prometheus, OpenTelemetry). 5. Collaboration and Platform Ownership Work closely with platform architects, AI scientists, and domain experts to evolve the knowledge workflows. Take ownership from system design to model integration and continuous improvement of RAG performance. Required Skills AI RAG Engineering (Most Critical) Knowledge Retrieval: o Experience building RAG architectures in production environments. o Expertise with vector stores (e.g., FAISS, Weaviate, Pinecone, PGVector). o Experience with embedding models and retrieval optimization strategies. Prompt Engineering: o Deep understanding of prompt construction for factuality, context augmentation, and reasoning. o Familiarity with frameworks like LangChain, LlamaIndex, or Haystack. Database and Backend Development (Essential) PostgreSQL Expertise: o Strong proficiency in relational and vector extension design (PGVector preferred). o SQL optimization, indexing strategies for large datasets. Python Development: o Experience building backend services using FastAPI or Flask. o Proficiency with async programming and API integrations. Observability and DevOps (Supportive) System monitoring for AI workflows using Prometheus, Grafana, OpenTelemetry. Familiarity with Docker, Kubernetes-based deployment pipelines. Preferred Experience (Bonus but not Required) Working with large-scale scientific or healthcare datasets. Exposure to clinical standards like SDTM, ADaM (advantageous for biopharma workflows). Experience integrating domain-specific ontologies into retrieval systems. Familiarity with fine-tuning LLMs on private knowledge bases. What Were Looking For AI Problem Solver: You are excited by combining retrieval, reasoning, and generative capabilities to solve real-world problems. Backend and Data Specialist: You understand database performance and scalable architectures for retrieval and serving. Builder's Mindset: You thrive in dynamic, evolving environments where you can architect and implement end-to-end solutions. What We Offer Meaningful Impact: Build AI systems that accelerate workflows in the critical biopharma space. Technical Growth: Deepen your expertise in retrieval-augmented generation and scalable AI systems. Remote Flexibility: Results-driven work culture with location flexibility. Competitive Compensation: Attractive salary, benefits, and learning opportunities. Join Us Help us revolutionize how biopharma manages and accesses knowledge through the power of AI. How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: K3-Innovations is redefining clinical research with a strategic scaling approach, blending AI-powered automation, adaptive clinical resourcing, and advanced data science. As a next-generation CRO, we provide flexible FSP models, regulatory-compliant statistical programming, and AI-driven analytics to accelerate clinical trial execution and regulatory submissions. About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Job Description Requirement Name / Title GenAI Developer Work Location Chennai/ Bangalore/Pune/Kolkata Shift General Shift Mandatory Skills Gen AI, LLM, RAG, Lang chain, Mistral,Llama, Vector DB, Azure/GCP/ Lambda, Python, Tensorflow, Pytorch Preferred Skills GPT-4, NumPy, Pandas, Keras, Databricks, Pinecone/Chroma/Weaviate, Scale/Labelbox, Job Description / Roles & Responsibilities (in Detail) We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework. • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance • Implement prompt guardrails to prevent attacks like prompt injection, jailbreaking and prompt leaking • Develop, deploy and maintain auto prompt solutions • Design and implement minimum design standards for every use case involving prompt engineering • You will be responsible for training the machine learning and deep learning model. • Writing reusable, testable, and efficient code using Python • Design and implementation of low-latency, high-availability, and performant applications • Implementation of security and data protection • Integration of data storage solutions and API Gateways • Production change deployment and related support If you're interested or know someone who fits this role, feel free to reach out. WhatsApp: 9871530393 Email: shweta.gupta@sspearhead.com Warm Regards SHWETA GUPTA || Senior Recruitment Specialist Spearhead Professional Services Call/ WhatsApp: 9871530393 LinkedIn Profile: shwetagupta1810

Responsibilities: * Design generative AI solutions using LLM, Python, SQL & NLP techniques. * Collaborate with cross-functional teams on project delivery. * Implement RNN, LSTM, GRU models for text analysis.

We are looking for a highly skilled Lead AI/ML Engineer with 6+ years of hands-on experience in designing, deploying, and scaling AI/ML and Generative AI solutions. The ideal candidate will lead technical efforts across a wide spectrum of AI technologies including large language models (LLMs), computer vision, machine learning, and data science to solve high-impact business problems. This is a technical leadership role that involves mentoring team members, shaping architecture decisions, and driving end-to-end AI solution delivery across cloud-based environments. Key Responsibilities: Leadership & Strategy Drive the technical vision and roadmap for AI/ML and Generative AI initiatives. Lead and mentor a team of AI/ML engineers and data scientists, conducting regular code reviews and guiding solution architecture. Collaborate with cross-functional stakeholders to translate business problems into scalable AI/ML solutions. Own the AI/ML lifecyclefrom prototyping and experimentation to production deployment and monitoring. Generative AI & LLMs Architect and lead the development of scalable Generative AI solutions using AWS Cloud and modern frameworks. Deep experience in working with large language models (LLMs) including fine-tuning, evaluation, and deployment. Expertise in prompt engineering, agentic workflows, and custom LLM development. Proficient with Langchain, Langgraph, Langfuse, Crew AI, and other GenAI frameworks. Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise applications. Machine Learning & Data Science Solve complex machine learning problems using supervised, unsupervised, and deep learning methods. Lead the implementation of ML pipelines including automated data preprocessing, training, validation, and monitoring. Manage ML lifecycle using AWS SageMaker, including model versioning, drift detection, and retraining strategies. Apply advanced analytics, time series forecasting, and predictive modeling techniques. Computer Vision Design and deploy advanced computer vision models for tasks such as classification, object detection, segmentation, and image captioning. Skills & Qualifications: 6+ years of experience in AI/ML, with at least 3 years in Generative AI and LLMs. Strong proficiency in Python and ML libraries such as Scikit-learn, XGBoost, LightGBM, CatBoost. Deep understanding of LLMs including OpenAI (GPT-4, GPT-4o), Claude, Gemini, LLaMa, DeepSeek, etc. Proficiency with GenAI tooling: Langchain, Langfuse, Crew AI, LLAMA Index, Langgraph, etc. Experience working with vector databases (Pinecone, FAISS, OpenSearch, Chroma) and indexing strategies. Hands-on with deep learning frameworks such as PyTorch and TensorFlow. Strong experience with AWS services: SageMaker, Bedrock, DynamoDB, S3, Lambda, etc. Proficiency in REST API development using FastAPI, Uvicorn, Flask, Docker, and related tools. Strong database knowledgeboth SQL (PostgreSQL) and NoSQL (DynamoDB). Familiarity with caching systems like Redis and Memcached. Strong communication skills and ability to lead discussions with both technical and non-technical stakeholders.

Role & responsibilities As the Founding Tech Member , you will: Own and build the end-to-end product backend + AI stack Build fast, ship fast, iterate even faster Work closely with the founding team to shape product vision & architecture Architect scalable AI workflows and APIs that connect with Revit Preferred candidate profile Candidates with experience in one or more of the following Chennai-based startups will be preferred: embedUR AI models for edge devices, working with global chip vendors. Paperflite Mobile-first sales-enablement SaaS platform. PipeCandy B2B data-science-driven lead discovery platform. Octoze SaaS-based ERP + LMS for educational institutions. HippoVideo Video recording & sharing platform with embedded features. Mindgrove Technologies Semiconductor/SoC deep-tech startup. SuperOps.ai – Unified SaaS for IT & operations automation. Disprz – AI-powered people-development platform Technical Skills: Strong proficiency in JavaScript and Python . What Were Looking For 4-10 years of experience in full-stack development in a Startup Proven experience with LLMs, embeddings, vector DBs, RAG pipelines , or recommender systems Strong grasp of JavaScript/Python Bonus: Experience with CAD/BIM tools like Revit, Rhino, AutoCAD, or working with Autodesk APIs Youve worked in a fast-paced startup, or want to build one now

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Required Candidate profile • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance

• We are looking for a good Python Developer with Knowledge of Machine learning and deep learning framework • Take care of entire prompt life cycle like prompt design, prompt template creation, prompt tuning/optimization for various GenAI base models Required Candidate profile • Design and develop prompts suiting project needs • Stakeholder management across business and domains as required for the projects • Evaluating base models and benchmarking performance

We are seeking Senior AI/ML Engineers with 3 to 6 years of experience in implementing, deploying, and scaling AI/ML solutions. This role involves working with generative AI, machine learning, deep learning, and data science to solve business challenges by designing, building, and maintaining scalable and efficient AI/ML applications. Key Responsibilities:AI: Architect scalable Generative AI and Machine Learning applications using AWS Cloud and other cutting-edge technologies. Extensive experience with LLMs and various prompt engineering techniques. Fine-tune and build custom LLMs. Deep understanding of LLM architecture and internal mechanisms. Experience with Langchain, Langgraph, Langfuse, Crew AI, LLM output evaluations, and agentic workflows. Build RAG (Retrieval-Augmented Generation) pipelines and integrate them with traditional applications. Data Science & Machine Learning: Solve complex data science problems and uncover insights using advanced EDA techniques. Implement automated pipelines for data cleaning, preprocessing, and model re-training. Hands-on experience with model experiment tracking and validation techniques. Deploy, track, and monitor models using AWS SageMaker. Strong knowledge of fundamental machine learning concepts, including supervised and unsupervised learning, deep learning, CNNs, and RNNs. Proficiency in working with databases for efficient data storage and retrieval. Experience with data warehouses and data lakes. Computer Vision: Work on complex computer vision problems, including image classification, object detection, segmentation, and image captioning. Skills & Qualifications: 2-3 years of experience in implementing, deploying, and scaling Generative AI solutions. 3-7 years of experience in NLP, Data Science, Machine Learning, and Computer Vision. Proficiency in Python and ML frameworks such as Langchain, Langfuse, LLAMA Index, Langgraph, Crew AI, and LLM output evaluations. Experience with AWS Bedrock, OpenAI GPT models (GPT-4, GPT-4o, GPT-4o-mini), and LLMs such as Claude, LLaMa, Gemini, and DeepSeek. Experience with vector databases like Pinecone, OpenSearch, FAISS, and Chroma, with a strong understanding of indexing mechanisms. Expertise in forecasting, time series analysis, and predictive analytics. Experience with classification, regression, clustering, and other ML models. Proficiency in SageMaker for model training, evaluation, and deployment. Hands-on experience with ML libraries such as Scikit-learn, XGBoost, LightGBM, and CatBoost. Experience with deep learning frameworks such as PyTorch and TensorFlow. Familiarity with Docker, Uvicorn, FastAPI, and Flask for REST APIs. Proficiency in SQL and NoSQL databases, including PostgreSQL and AWS DynamoDB. Experience with caching technologies such as Redis and Memcached.

Role & responsibilities Experience in MLOps and building industrialized ML pipelines (esp. within Azure and Databricks env.) Understanding of coding standards (PEP8, etc.), unit tests, ML Pipeline architecture design best practices Creating GenAI pipelines such as answering engines, document extraction, and content authoring Strong knowledge in developing RAG-based pipelines using frameworks like LangChain & LlamaIndex Good understanding of various LLMs like Azure OpenAI and proficiency in their effective utilization Expertise in crafting and optimizing prompts using different strategies, including providing context and zero-shot techniques Solid working knowledge of the engineering components essential in a Gen AI application, including Vector DB, caching layer, chunking, and embedding Must Have Skills: Python, AWS/Azure, Data Science, MLOps, Gen AI tools (Azure Open AI, Langchain, vector DB) Good to Have: DevOps, CI/CD, Kubernetes.