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Agent AI Developer
Job in
Berkeley Heights, Union County, New Jersey, 07922, USA
Listed on 2026-02-14
Listing for:
OJUS LLC
Full Time
position Listed on 2026-02-14
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
- Design 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, Janus Graph, 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.
- 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., Lang Graph/Lang Chain, Llama Index, Semantic Kernel, Auto Gen) 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.
- Knowledge 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, Tru Lens, custom eval harnesses), prompt/version management.
- Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling).
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