Agentic AI Python Engineer: RAG Pipelines & Tools

BeaconFire Inc.; Philadelphia (Philadelphia County); On-site; USD 120,000 - 180,000; Full time

Job summary

Beaconfire is seeking an Agentic AI Python Developer to design and productionize AI-powered applications. You will own end-to-end delivery of RAG systems, vector databases, and tool-using agents, collaborating with a team to ship robust APIs on Google Cloud / Vertex AI.

The role emphasizes clean code, testing, documentation, and staying current with Python frameworks, while delivering scalable web apps using Flask or Django and modern data platforms.

Qualifications

• Experience in Python3 software development.
• Understanding of the software development/testing life cycle.
• Knowledge of relational databases (MySQL, PostgreSQL, etc).
• Experience with version control tools, such as Git.
• Experience building RAG solutions and embeddings.
• Familiar with agentic frameworks and tool/function calling patterns.
• Strong engineering practices: code reviews, testing, telemetry, secure-by-design.

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.

Skills

Python3

SDLC understanding

RESTful API development

Engineering practices

Education

Master's Degree in CS/SE or related

Tools

Git

MySQL/PostgreSQL

Vertex AI

LangGraph/LangChain/LlamaIndex

Job description

Beaconfire is seeking an Agentic AI Python Developer to design and productionize AI-powered applications. You will own end-to-end delivery of RAG systems, vector databases, and tool-using agents, collaborating with a team to ship robust APIs on Google Cloud / Vertex AI.

The role emphasizes clean code, testing, documentation, and staying current with Python frameworks, while delivering scalable web apps using Flask or Django and modern data platforms.