{"schemaVersion":"jobsearcher.job.v1","id":"7a1a67db349a06f6fcd0ae58","url":"https://jobsearcher.com/jobs/7a1a67db349a06f6fcd0ae58","canonicalUrl":"https://jobsearcher.com/jobs/7a1a67db349a06f6fcd0ae58","title":"Agentic AI developer","description":"Job TitleAgentic AI Developer (Python) — Vertex AI RAG + Graph/Vector Datastores Role summaryWe’re looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion → retrieval → agent orchestration → evaluation → deployment.What you’ll doDesign and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex Vector Search, Pinecone, Weaviate, Milvus, pgvector).Create robust data ingestion/ETL from PDFs, docs, webpages, and internal sources; implement metadata strategy and access control.Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.Must-have skillsStrong Python (clean architecture, async, testing, typing, packaging).Proven experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).Hands-on with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.Solid knowledge of vector search concepts and at least one vector DB in production.Comfortable with graph data modeling and graph querying (Cypher/Gremlin/SPARQL basics).Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.Nice-to-haveKnowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).","company":"Vysystems","rawCompany":"vysystems","city":"Berkeley Heights","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-05-29T11:41:05.357Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Agentic AI developer","description":"Job TitleAgentic AI Developer (Python) — Vertex AI RAG + Graph/Vector Datastores Role summaryWe’re looking for a strong agentic AI developer who can build and productionize Vertex AI–based RAG systems (Vertex AI Search / Vertex AI RAG patterns), design reliable tool-using agents, and work comfortably with vector databases and graph databases. You’ll own end-to-end delivery: ingestion → retrieval → agent orchestration → evaluation → deployment.What you’ll doDesign and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.Integrate agents with Graph DBs (e.g., Neo4j, JanusGraph, Neptune) and Vector DBs (e.g., Vertex Vector Search, Pinecone, Weaviate, Milvus, pgvector).Create robust data ingestion/ETL from PDFs, docs, webpages, and internal sources; implement metadata strategy and access control.Define and run evaluation (retrieval metrics, answer quality, hallucination/grounding checks), and improve system quality iteratively.Ship to production: APIs, monitoring/observability, cost/performance optimization, CI/CD, and security best practices.Must-have skillsStrong Python (clean architecture, async, testing, typing, packaging).Proven experience building RAG solutions (hybrid search, reranking, chunking strategies, embeddings, prompt + schema design).Hands-on with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage).Experience with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex, Semantic Kernel, AutoGen) and tool/function calling patterns.Solid knowledge of vector search concepts and at least one vector DB in production.Comfortable with graph data modeling and graph querying (Cypher/Gremlin/SPARQL basics).Strong engineering practices: code reviews, testing, telemetry, secure-by-design, reliability mindset.Nice-to-haveKnowledge graphs for RAG (entity linking, graph traversal + retrieval fusion).Streaming/messaging (Pub/Sub, Kafka), document pipelines (Document AI), and multilingual retrieval.Experience with evaluation tooling (RAGAS, TruLens, custom eval harnesses), prompt/version management.Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).","datePosted":"2026-05-29T11:41:05.357Z","dateModified":"2026-05-29T11:41:05.357Z","hiringOrganization":{"@type":"Organization","name":"Vysystems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Berkeley Heights","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7a1a67db349a06f6fcd0ae58"},"url":"https://jobsearcher.com/jobs/7a1a67db349a06f6fcd0ae58"}}