Agentic AI Python Developer

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

Job summary

BeaconFire Inc. in Seattle is seeking an AI developer to design and productionize Vertex AI-based RAG systems, build agentic workflows, and work with vector databases.

You will own end-to-end delivery from ingestion to deployment, collaborating on Python web applications using Flask/Django, and integrating AI tools and cloud services. You will collaborate with the team to ship APIs, implement testing, and maintain documentation, while staying up to date with the latest Python and cloud

Qualifications

• Experience in Python web development with Flask or Django.
• Experience building RAG solutions (embeddings, chunking, retrieval).
• Familiar with agentic frameworks and tool calling patterns.
• Solid knowledge of vector search concepts and at least one vector DB in production.
• Experience with cloud services (AWS) and Vertex AI/GCP fundamentals.
• RESTful API development in Python.
• Strong testing, code reviews, telemetry, and secure-by-design practices.

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

SDLC understanding

REST API development

Multilingual retrieval

Education

Master's Degree in Computer Science or related field

Tools

Git

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

Vertex AI

GCP fundamentals

Vector databases

React/Next.js

Pub/Sub

Kafka

Knowledge graphs

Document AI

Job description

BeaconFire is based in Central NJ, specializing in Software Development, Web Development

and Business Intelligence; looking for a strong agentic AI developer who can build and

productionize Vertex AI-based RAG systems (Vertex AI Search / Vertex AI RAG patterns),

design reliable tool-using agents, and work comfortably with vector databases and graph

databases. You'll own end-to-end delivery: ingestion, retrieval, agent orchestration, evaluation,

and deployment.

Job 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.

Requirement:

• Experience in software development in Python3.
• 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.
• 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).