Agentic AI Developer

BeaconFire Inc.; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

BeaconFire Inc. is seeking a Python web application engineer to design and develop high quality applications using Flask and Django, focusing on robust, scalable solutions in a modern cloud stack.

You will contribute to code quality, testing, and documentation while delivering production-grade APIs. As part of the role, you will design RAG pipelines on Google Cloud / Vertex AI, build agentic workflows, perform code reviews, and participate in planning and estimation.

Qualifications

• Proficient in Python web app development and testing.
• Experience with relational databases (e.g. MySQL, PostgreSQL).
• Experience building RAG solutions (hybrid search, chunking, embeddings).
• Familiar with agentic frameworks and tool calling patterns.
• Solid knowledge of vector search concepts and production vector DB.

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 development

Web application development

RESTful APIs

Git version control

RAG pipelines

Vector search

Testing/telemetry

Documentation

Education

Master's degree in CS/SE

Tools

Flask

Django

Vertex AI

Google Cloud

LangChain/LangGraph

Vector DB

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) slanslanguage 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).

BeaconFire is an E-verified company and provides equal employment opportunities (visa sponsorship provided).