Agentic AI Python Engineer for RAG & Tooling

BeaconFire Inc.; New Jersey; On-site; USD 110,000 - 150,000; Full time

Job summary

BeaconFire Inc. is hiring an Agentic AI Python Developer to build high quality web applications using Python, Flask and Django. You will design RAG pipelines on Google Cloud / Vertex AI, and own end-to-end delivery including ingestion, retrieval, orchestration, evaluation and deployment.

You will collaborate with a team, write clean code, conduct reviews, and create technical docs. Prior experience with vector databases, tool use patterns, and cloud services is preferred.

Qualifications

• Solid understanding of the software development/testing lifecycle.
• Experience building web apps with Python (Flask or Django).
• Experience with RESTful API development in Python.

Responsibilities

• Collaborate to design and develop high quality Web applications using Python, Flask, Django, and related technologies.
• Write clean and efficient code, and ensure maintainability and reusability.
• Design and implement RAG pipelines on Google Cloud / Vertex AI (chunking, embeddings, indexing).
• Build agentic workflows (tool use, planning, reflection/guardrails, structured outputs) using Python-first frameworks.
• Perform code reviews, testing, and documentation for web applications.
• Participate in project planning, estimation, and prioritization.

Skills

Python

Flask

Django

RAG pipelines

Vertex AI

LangChain

LangGraph

LlamaIndex

Vector DB

Git

CI/CD

Testing

REST APIs

AWS

Education

Bachelor's in Computer Science

Master's in CS

Tools

Docker

Kubernetes

PostgreSQL

MySQL

Job description

BeaconFire Inc. is hiring an Agentic AI Python Developer to build high quality web applications using Python, Flask and Django. You will design RAG pipelines on Google Cloud / Vertex AI, and own end-to-end delivery including ingestion, retrieval, orchestration, evaluation and deployment.

You will collaborate with a team, write clean code, conduct reviews, and create technical docs. Prior experience with vector databases, tool use patterns, and cloud services is preferred.