Senior AI Developer (Vertex AI, RAG Systems)

BeaconFire Inc. • United States

Visa Sponsorship

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AI Summary

We are seeking a Senior AI Developer to design and develop high-quality RAG systems using Vertex AI. The ideal candidate will have experience with Python, Flask, and Django, as well as a strong understanding of software development and testing life cycles.

Key Highlights

Design and develop high-quality RAG systems using Vertex AI

Collaborate with the team to design and develop web applications

Perform code reviews and ensure code quality and consistency

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Key Responsibilities

Collaborate with the team to design and develop high-quality web applications using Python, Flask, and Django

Design and develop RAG pipelines on Google Cloud / Vertex AI

Build agentic workflows 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 Flask Django Vertex AI RAG systems Vector databases Graph databases Git MySQL PostgreSQL LangGraph/LangChain LlamaIndex Semantic Kernel AutoGen

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Benefits & Perks

Equal employment opportunities

Visa sponsorship provided

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Nice to Have

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

1+ year professional experience in Python web application development with either Flask or Django

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

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.

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