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Senior Python Backend Engineer (RAG & AI Workflows) - New York/New Jersey
Visa Sponsorship
AI Summary
Design and develop high-quality Python web applications and advanced RAG pipelines on Google Cloud/Vertex AI. Build agentic workflows, optimize performance, and ensure production-grade reliability. Requires Python expertise, RAG system experience, and strong engineering practices.
Key Highlights
Build and optimize Retrieval-Augmented Generation (RAG) pipelines on Google Cloud/Vertex AI
Develop agentic workflows using Python-first frameworks (e.g., LangChain, LlamaIndex)
Ship production-grade APIs with observability, security, and CI/CD best practices
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Key Responsibilities
Collaborate with the team to design and develop high-quality web applications using Python, Flask, and Django
Design and implement RAG pipelines on Google Cloud/Vertex AI, including chunking, embeddings, retrieval, and reranking
Build agentic workflows using Python-first frameworks (e.g., LangGraph, LangChain, LlamaIndex) with tool use, planning, and reflection mechanisms
Perform code reviews, testing, and ensure adherence to secure-by-design and reliability best practices
Ship production-grade APIs with monitoring, observability, cost/performance optimization, and CI/CD pipelines
Technical Skills Required
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Benefits & Perks
Visa sponsorship provided
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Nice to Have
Master’s Degree in Computer Science, Software Engineering, or related field
Experience with RESTful API development in Python
Experience with AWS services
Knowledge graphs for RAG (entity linking, graph traversal)
Streaming/messaging (Pub/Sub, Kafka) and document pipelines (Document AI)
Experience with evaluation tooling (RAGAS, TruLens)
Frontend integration (React/Next.js) or internal developer tooling
Job Description
Work Location: New York/New Jersey
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.
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