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184 jobs found for "Vector Database"
Page 1 of 10
Entry Level Agentic AI Developer (Python)
…excited to build production-ready AI applications using Vertex AI, Google Cloud Platform (GCP), vector databases, and intelligent AI agents . If you're eager to work on cutting-edge AI technologies … agent framework such as: LangGraph LangChain LlamaIndex Semantic Kernel AutoGen Experience with vector search concepts and vector databases. Knowledge of relational databases such as MySQL or PostgreSQL . Experience using Git and following…
AI Enablement Lead [gn] Data Intelligence
…scales seamlessly. Standardization of Tooling: Define and enforce the organization's official AI stack, from vector database selection and vector embeddings strategies to semantic caching mechanisms. Vendor & Open-Source Strategy: Evaluate … complex data platforms. AI & Engineering Mastery: Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering…
Python with Gen AI New
…teams to understand business requirements. Troubleshoot, debug, and optimize application performance. Preferred Skills Exposure to Vector Databases (FAISS, ChromaDB, Pinecone). Knowledge of AI agents and chatbot development. Understanding of MLOps concepts … Prompt Engineering, LangChain, RAG, Hugging Face, OpenAI, Machine Learning, AI Chatbots, REST API, SQL, Vector Database…
Senior Applied AI Engineer
…processes. Foundational Engineering: Build and maintain the core AI tech stack, including agent orchestration frameworks, vector database integrations, and RAG (Retrieval-Augmented Generation) pipelines. Cloud Orchestration: Oversee the deployment and management … agentic workflows, including state management, tool-calling, and memory systems. Data & AI Skills: Experience with vector databases (e.g., Pinecone, Weaviate), fine-tuning (optional but preferred), and advanced prompt engineering. Collaborative Mindset: Ability…
Forward Deployed Engineer - AI
…senior stakeholders — you can explain why AI governance matters to a board member and debate vector database trade-offs with a platform engineer in the same meeting. Willingness to travel to client … posture (AI-SPM/DSPM concepts). Familiarity with the Model Context Protocol (MCP), agent runtimes, or vector databases (e.g., Pinecone, Milvus, Weaviate, Chroma). Background in enterprise data governance, security, backup/resilience, or the Microsoft…
AI Software Developer
…grade AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), semantic search, and vector databases. Implement multi-agent orchestration using frameworks such as LangGraph, CrewAI, Semantic Kernel, or Model Context … LangGraph, CrewAI, Semantic Kernel, or MCP. Strong experience designing and implementing Retrieval-Augmented Generation (RAG), vector database, and semantic search solutions. Advanced Python development experience, including FastAPI or similar frameworks…
AI Engineer
…fine-tuning, e che si trovi a suo agio a muoversi tra Python, API, vector database e pipeline dati. L'obiettivo è sempre lo stesso: portare l'AI dal prototipo a qualcosa … LlamaIndex, HuggingFace) Capacità di portare un progetto AI dal prototipo alla produzione Familiarità con API, vector database e pipeline dati Bonus: esperienza con computer vision, NLP o deploy su cloud…
Gen AI Engineer
…Responsibilities: Develop and integrate Generative AI/LLM applications . Build RAG pipelines using embeddings, vector databases, and document processing. Work with models such as GPT, Claude, Gemini, Llama , or similar LLMs. Develop effective prompt … tool-calling workflows. Develop APIs and backend services using Python/FastAPI or similar frameworks. Work with vector databases such as Pinecone, FAISS, Weaviate, or Chroma . Implement model evaluation, monitoring, security, and optimization. Collaborate…
AI (Senior) Developer
…Additionally at senior level: You design and define comprehensive architectural decisions You integrate AI-ready database systems for complex application. Additionally at senior level: You take responsibility for the strategic … establish and enforce best practices. You have experience working with AI-ready database systems (relational databases, vector databases, and graph databases) Senior level: You bring extensive experience in complex integration projects…
Agentic AI Engineer (Python)
…retrieval systems, agent orchestration, evaluation, and deployment. You will work with modern AI frameworks and databases to build scalable, production-ready intelligent systems. 🔧 Key Responsibilities Design and develop high-quality web applications … such as: LangChain / LangGraph LlamaIndex Semantic Kernel AutoGen Solid understanding of vector search and experience with at least one vector database Strong engineering practices (testing, telemetry, secure design, reliability mindset) 🎯 Preferred Qualifications…
Agentic AI Engineer (Python)
…retrieval systems, agent orchestration, evaluation, and deployment. You will work with modern AI frameworks and databases to build scalable, production-ready intelligent systems. 🔧 Key Responsibilities Design and develop high-quality web applications … such as: LangChain / LangGraph LlamaIndex Semantic Kernel AutoGen Solid understanding of vector search and experience with at least one vector database Strong engineering practices (testing, telemetry, secure design, reliability mindset) 🎯 Preferred Qualifications…
Backend ML Engineer
…experience integrating LLMs (OpenAI, Anthropic, Gemini, or open-source models) into production systems Familiarity with vector databases such as Weaviate, pgvector, Pinecone, or similar Experience with retrieval-augmented generation (RAG) patterns Self … Familiarity with RAG architectures: chunking strategies, embedding pipelines, vector search, reranking, and evaluation metrics (Recall@k, MRR, faithfulness, answer relevance). Experience with vector databases (Weaviate, pgvector, Pinecone, Qdrant, or similar) and traditional…
Software Engineer (AI)
…large unstructured corpus: analyst intent translated into structured filters, combined with keyword and dense vector search, across multiple languages and media types. The agent work is the centrepiece but not the whole … needing prior expertise in a specific one. Desirable Experience with retrieval systems and large-scale vector database performance (Elastic). Experience with graph or network analysis at scale. Experience building retrieval or analysis…
Senior Software Engineer (AI)
…where every claim traces back to the chunk of source it came from. Underneath sits vector search over a large unstructured corpus, across multiple languages and media types. The agent work … treating requirements as someone else's problem. Desirable Experience with retrieval systems and large-scale vector database performance (Elastic). Experience with graph or network analysis at scale. Experience building retrieval or analysis…
Software Engineer (AI)
…where every claim traces back to the chunk of source it came from. Underneath sits vector search over a large unstructured corpus, across multiple languages and media types. The agent work … treating requirements as someone else's problem. Desirable Experience with retrieval systems and large-scale vector database performance (Elastic). Experience with graph or network analysis at scale. Experience building retrieval or analysis…
AI Data Engineering
…chunking, retrieval, and grounding answers in sources (preferably LangChain, Langfuse, Llamaindex, FastAPI, Pydantic) Experience vector database (e.g. Milvus, Pinecone, Weaviate, Qdrant, pgvector) and an understanding of embeddings and similarity search A habit…
AI Engineer
…done this before - and this time the market is 10x bigger. Our CTO led the vector database team at Redis, shipped 100+ LLM applications, and is a contributor to LangChain and LlamaIndex…
Advisor Software Engineer (AI/ML)
…GenAI applications, intelligent automation, AI-assisted workflows, and AI-driven decision support. Experience with MLOps, vector databases, embedding-based search, MCP-based tool integration, and enterprise AI governance practices. Experience writing technical … learn, Pandas, NumPy, and related ML frameworks. Experience building Retrieval-Augmented Generation solutions, including embeddings, vector databases, semantic search, document retrieval, chunking strategies, prompt grounding, and response evaluation. Experience with LLM application…
Python Developer with AI
…Scikit-learn, SQL, Enterprise Applications Secondary Skills: TensorFlow, PyTorch, LangChain, GenAI, LLMs, Prompt Engineering, Embeddings, Vector Databases, RAG, ETL, Git, CI/CD, Jenkins, Docker, Kubernetes, Cloud Platforms, Secure Coding What … Certifications Experience integrating AI/ML models into production applications. Exposure to GenAI, LLMs, prompt engineering, embeddings, vector databases, or RAG-based applications. Understanding of AI use cases such as document intelligence, customer analytics…
AI Engineer
…developing Generative AI and Agentic AI solutions • Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases • Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar • Experience designing … systems • Knowledge of the Model Context Protocol (MCP) and AI integration patterns • Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search • Experience working with OpenAI and other leading…