Vector Databases Jobs (NOW HIRING)

... vector databases • Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LangChain or LangGraph • Integrate AI systems with APIs, backend services, and cloud ...

Develop RAG pipelines by integrating vector databases and enterprise knowledge sources. * Experience with prompt engineering, RAG (Retrieval-Augmented Generation), and vector databases. * Knowledge ...

Production experience deploying and managing vector databases (Milvus, Qdrant, or Weaviate) at scale Experience with PostgreSQL or MySQL in production environments Understanding of RAG pipelines ...

Build RAG-based applications integrating embeddings and vector databases. Implement agentic workflows and reasoning strategies for task automation. Integrate MCP (Model Context Protocols) into ...

Design and integrate vector database solutions for efficient semantic search * Perform model quantization and performance tuning for CPU-based inference * Ensure data privacy, security, and ...

Design and implement vector databases, embedding pipelines, and knowledge graph structures that serve as the foundational retrieval layer for RAG and other AI applications. * Productionize and ...

... vector databases · Experience with agentic frameworks (e.g., LangChain, LangGraph, AutoGen) · Strong system design skills with experience building and scaling cloud-based applications Roles ...

You will lead the integration of Generative AI models, vector databases, and autonomous AI agents to drive our next-generation product features. Key Responsibilities * Backend Development: Design ...

Design and implement RAG solutions using LLMs, vector databases, and semantic search . * Build automated AI evaluation pipelines using precision, recall, F1 metrics , and LLM-as-a-Judge methodologies.

Implement and support vector database solutions for semantic search and RAG architecture. * Collaborate with DevOps and platform teams to implement CI/CD pipelines for ML, GenAI, and data workloads.

Join the Vector Search team and help build a cutting-edge vector database on top of MongoDB. Our team is responsible for the syntax and implementation of MongoDB's $vectorSearch aggregation, which ...

Store extracted data into relational databases, JSON document stores, and vector databases. * Develop data models that support fast search and retrieval. * Implement document chunking, embedding ...

Python backend developer, FastAPI, RESTful APIs , Azure, LLM APIs, AI agent frameworks, LangChain, AutoGen, Semantic Kernel, cloud services, vector databases, RAG workflows : Role: Backend Python ...

... vector databases and cloud deployments, Project Code

The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance. Key Responsibilities * Design and implement generative AI and LLM ...

Knowledge of Vector Databases, Embeddings, and Semantic Search. * Experience with CI/CD, testing, and secure coding practices. Preferred Skills: * Experience with operational workflow automation.

... vector databases and cloud deployments, Project Code

The ideal candidate will possess expertise in modern AI architectures, vector databases, prompt engineering, and AI governance. Key Responsibilities * Design and implement generative AI and LLM ...

You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases. This is a hands-on ...

Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models. * Integrate AI capabilities into enterprise applications through REST APIs and ...