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BeaconFire Inc. Linkedin · Posted 2mo ago

Gen AI Engineer

New Jersey, United States

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Indexed description

BeaconFire is based in Central NJ, specializing in Software Development, Web Development,

and Business Intelligence; 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,

and deployment.


Job Responsibilities:

  • Collaborate with the team to design and develop high quality Web applications using
  • Python, Flask, Django, and related technologies.
  • Write clean and efficient code, and ensure code maintainability and reusability.
  • 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.
  • Perform code reviews to ensure code quality and consistency.
  • Conduct testing to ensure application quality and reliability.
  • Create and maintain technical documentation for web applications.
  • Participate in project planning, estimation, and prioritization.
  • Stay up to date with the latest technologies for Python development.
  • 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.

Requirement:

  • Experience in software development in Python3.
  • Decent understanding of the software development/testing life cycle.
  • Knowledge of relational databases (e.g. MySQL, PostgreSQL, etc)slanguage skills
  • Experience with version control tools, such as Git.
  • Experience building RAG solutions (hybrid search, reranking, chunking strategies,
  • embeddings, prompt + schema design).
  • Familiar with at least one agentic framework (e.g., LangGraph/LangChain, LlamaIndex,
  • Semantic Kernel, AutoGen) and tool/function calling patterns.
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