Agentic AI Developer@Berkeley Heights, NJ (5 days onsite) jobs in United States
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Enexus Global Inc. ยท 16 hours ago

Agentic AI Developer@Berkeley Heights, NJ (5 days onsite)

positionBerkeley Heights, NJ
timeContract
remoteOnsite
seniorityMid, Senior Level

Enexus Global Inc. is seeking a skilled Agentic AI Developer to build and productionize Vertex AI-based RAG systems. The role involves designing reliable tool-using agents, working with vector and graph databases, and overseeing the end-to-end delivery of AI solutions.

Information TechnologyMobile AppsSoftwareUX Design
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

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, 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

Qualification

PythonVertex AIGraph DatabasesVector DatabasesRAG SolutionsGCP FundamentalsAgentic FrameworksData Ingestion/ETLEngineering PracticesEvaluation ToolingFrontend Integration

Required

Strong 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

Preferred

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, TruLens, custom eval harnesses), prompt/version management
Frontend integration (basic React/Next.js) or platform enablement (internal developer tooling)

Company

Enexus Global Inc.

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Enexus Global, is a premier onsite/offshore software solutions and services company, headquartered in the Silicon Valley with offices across the United States, India.
dateFounded in 2015
location
Fremont, California, USA
people-size51-200 employees
web-link
http://enexusglobal.com

H1B Sponsorship

Enexus Global Inc. has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (5)
2023 (6)
2022 (11)
2021 (4)
2020 (25)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase