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Senior Python Web Developer - RAG & Agentic AI Engineer

BeaconFire Inc. • New York City Metropolitan Area
Visa Sponsorship
This Job is No Longer Active This position is no longer accepting applications

Design and develop high-quality web applications using Python, Flask, and Django. Build and optimize RAG pipelines on Google Cloud Vertex AI with vector databases and agentic workflows. Ensure code quality, testing, documentation, and production deployment with CI/CD and security best practices.

Key Highlights
Python web application development with Flask/Django
RAG pipeline design and implementation on Vertex AI
Agentic workflow development with tool use and planning
Production deployment with CI/CD, monitoring, and security
Key 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
Technical Skills Required
Python Django Flask Google Cloud Vertex AI
Benefits & Perks
visa sponsorship provided
Nice to Have
Master's Degree in Computer Science, Software Engineering, or related field
Experience in RESTful API development in Python
Experience with Cloud services, such as AWS
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)

Job Description

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.

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