Artificial Intelligence Engineer

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

Job summary

BeaconFire Inc. in Philadelphia is seeking a Python web developer to design and build high quality web applications using Flask, Django, and related tech.

You will implement RAG pipelines on Google Cloud / Vertex AI, create agentic workflows, and ensure code quality with reviews, tests, and documentation. You will participate in planning, estimation, and delivery, stay current with Python ecosystems, and help ship production APIs with observability, cost/performance optimization, CI/CD, and

Qualifications

• Understanding of the software development/testing life cycle.
• Knowledge of relational databases (e.g. MySQL, PostgreSQL).
• Experience with version control tools, such as Git.
• Experience building RAG solutions (hybrid search, embeddings, chunking).
• Familiar with at least one agentic framework (LangChain, LangGraph, LlamaIndex).

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

SDLC knowledge

Relational databases

Git experience

RAG solutions

Agentic frameworks

Tools

Python

Flask

Django

Git

Vertex AI

Job description

• 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

• 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.

Preferred Qualifications:

• 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).