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AI Summary
Design and develop high-quality web applications using Python, Flask, and Django. Build and optimize RAG pipelines, agentic workflows, and production systems on Google Cloud Vertex AI. Ensure code quality, testing, documentation, and continuous improvement through evaluation and monitoring.
Key Highlights
Python, Flask/Django, and RAG development expertise
Agentic workflow implementation with tool use and planning
Production deployment with CI/CD, monitoring, and security best practices
Experience with Google Cloud Vertex AI and vector databases
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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
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Benefits & Perks
Relocation within the United States
Visa sponsorship available
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Nice to Have
LLM experience
LongChain
AWS
Kubernetes
Docker
RESTful API development
Vertex AI and GCP fundamentals
Knowledge graphs for RAG
Streaming/messaging (Pub/Sub, Kafka)
Document pipelines (Document AI)
Multilingual retrieval
Evaluation tooling (RAGAS, TruLens)
Prompt/version management
Frontend integration (React/Next.js)
Internal developer tooling
Job Description
Title: Python Gen AI Position
Must have: Python, Flask/Django, RAG.
Nice to have LLM, LongChain, AWS, Kubernetes, Docker.
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.
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