GenAI Python Engineer: Build RAG Pipelines on Vertex AI

BeaconFire Inc; Texas; On-site; USD 95,000 - 145,000; Full time

Job summary

BeaconFire Inc. is hiring an Agentic AI Python Developer to build and productionize Vertex AI-based RAG systems, create agentic workflows, and deliver end-to-end web applications using Python, Flask, and Django.

The role emphasizes high-impact projects, modern tech stack, and a collaborative growth-oriented environment with a focus on scalability, testing, and secure-by-design practices.

Qualifications

• Proven Python development experience.
• Familiarity with Flask or Django web frameworks.
• Experience building RESTful APIs in Python.
• Knowledge of version control with Git.

Responsibilities

• Collaborate to design and develop high quality web applications using Python, Flask, Django and related technologies.
• Write clean, maintainable code and ensure reusability.
• Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing, retrieval, reranking, grounding).
• Build agentic workflows using Python-first frameworks (tool use, planning, reflection/guardrails, structured outputs).
• Perform code reviews and ensure code quality; conduct testing for reliability.
• Create and maintain technical documentation for web applications.

Skills

Python3

Flask

Django

RESTful API

Git

RAG pipelines

Vertex AI

Vector DB

SQL

Testing

Education

Master's Degree in Computer Science

Tools

GitHub

CI/CD

Job description

Hi

Rameez here from Beaconfire. I hope you’re doing well! We’re currently hiring for an exciting Agentic AI Python Developerrole, and I wanted to reach out to see if you or someone in your network might be interested. This is a fantastic opportunity to work on high-impact projects using modern technologies in a collaborative and growth-oriented environment.

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.
• Solid knowledge of vector search concepts and at least one vector DB in production.
• Strong engineering practices: code reviews, testing, telemetry, secure-by-design,
• reliability mindset.

Preferred Qualifications:

• 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).

If you’re currently exploring opportunities or open to learning more, I’d love to connect. Please feel free to share your updated resume or reach out directly at [e-mail]

Rameez Khan

Technical Recruiter

Beaconfire