Agentic AI Engineer (Python) - RAG, Vector DB & Deployment

BeaconFire Inc.; Philadelphia (Philadelphia County); On-site; USD 120,000 - 170,000; Full time

Job summary

BeaconFire Inc. is seeking an Agentic AI Python Developer to design and implement high quality web applications using Python, Flask, and Django. You will build RAG pipelines on Google Cloud, manage vector databases, and own end-to-end delivery from ingestion to deployment.

You will collaborate across teams, perform code reviews, and contribute to testing, documentation, and project planning while staying current with Python advancements and security best practices.

Qualifications

• Understanding of the software development/testing life cycle.
• Knowledge of relational databases (MySQL, PostgreSQL, PostgreSQL).
• Experience with version control tools, such as Git.
• Experience building RAG solutions (hybrid search, reranking, chunking strategies).
• Familiar with at least one agentic framework (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.
• Reliability mindset.

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

Python

Flask

Django

RESTful APIs

RAG

Vector databases

Git

CI/CD

LangGraph/LangChain/LlamaIndex

Semantic Kernel

AutoGen

Vertex AI

GCP fundamentals

Graph databases

Education

Master's Degree in Computer Science or related field

Tools

LangGraph

LangChain

LlamaIndex

Semantic Kernel

AutoGen

Vertex AI

GCP

Git

CI/CD

React/Next.js

Job description

BeaconFire Inc. is seeking an Agentic AI Python Developer to design and implement high quality web applications using Python, Flask, and Django. You will build RAG pipelines on Google Cloud, manage vector databases, and own end-to-end delivery from ingestion to deployment.

You will collaborate across teams, perform code reviews, and contribute to testing, documentation, and project planning while staying current with Python advancements and security best practices.