Agentic AI Developer (Python)

BeaconFire Inc. • United States

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AI Summary

BeaconFire Inc. seeks a Python-focused Agentic AI Developer to design and productionize Vertex AI-based RAG systems and tool-using agents. Responsibilities include end-to-end delivery of ingestion, retrieval, orchestration, evaluation, and deployment pipelines. Candidates must have Python development experience, RAG pipeline expertise, and strong engineering practices.

Key Highlights

Build and productionize Vertex AI-based RAG systems and tool-using agents

Design end-to-end ingestion, retrieval, orchestration, evaluation, and deployment pipelines

Work with vector databases, graph databases, and Python-first frameworks (LangGraph/LangChain)

Implement code reviews, testing, documentation, and CI/CD with security best practices

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Key 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

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

Technical Skills Required

Python RAG pipelines Vertex AI Vector databases

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Benefits & Perks

visa sponsorship provided

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Nice to Have

Master's Degree in Computer Science, Software Engineering, or related field

Experience in RESTful API development in Python

Understanding of Python web application frameworks such as Flask or Django

Experience with Cloud services, such as AWS

Experience with Vertex AI and GCP fundamentals (IAM, logging/monitoring, Cloud Run/GKE, storage)

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)

Job Description

Agentic AI Developer (Python)

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

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