Specialty Software Engineer 4 / Python Developer
US client via staffing partner · San Francisco, CA
- Location
- San Francisco, CA
- Salary band
- Band not stated
- Type
- Contract
- Level
- Senior
- Work authorization
- Not stated
Stack
Python · Microservices · API Development · MongoDB · Agentic AI · REST API · FastAPI · AsyncIO · Multiprocessing · Distributed Systems · Event-driven Architecture · Retrieval-Augmented Generation (RAG) · Large Language Models (LLMs) · Prompt Engineering · Vector Databases · Embeddings · Semantic Search · Text-to-SQL · AI Governance · Performance Tuning
About the role
Job Title: Specialty Software Engineer 4/ Python Developer Locations: San Francisco, CA Duration: 3 + Months(With Possible extension) Role Overview • Hands-on development role with a strong coding focus. • Resources will primarily be building, enhancing, and supporting AI agents rather than spending significant time in meetings. • Daily collaboration occurs through team standups and close interaction with developers and architects. • Candidates should be comfortable communicating [contact hidden] needs and blockers, though executive-facing responsibilities are minimal. • Strong backend Python developer with experience building and supporting microservices-based applications. • Experience designing and consuming APIs. • Familiarity with Large Language Models (LLMs), Agentic AI frameworks, and AI orchestration concepts. • Experience working with MongoDB and vector databases. • Financial [contact hidden] experience is not required. Required Experience • Python: 5+ years • Microservices: 5+ years • API Development/Integration: 5+ years • MongoDB: 5+ years • Agentic AI: 2+ years preferred Why Candidates Are Interested • Opportunity to work on cutting-edge Agentic AI technology. • Greenfield development environment with significant [contact hidden] ownership. • Collaborative, supportive, and highly engaged team culture. • Potential for extension and conversion opportunities. Core [contact hidden] Skills • Python software engineering • REST API development • Microservices architecture • Distributed systems design • Backend service development • FastAPI • AsyncIO • Multiprocessing • Performance tuning and profiling • Caching strategies • Database/query optimization • Event-driven architecture • High-availability and fault-tolerant system design Generative AI / LLM Skills • Generative AI application development • Large Language Models • Agentic AI systems • Multi-agent workflow design • Retrieval-Augmented Generation • Hybrid RAG architectures • Knowledge graph–enhanced RAG • Prompt engineering • Prompt orchestration • Tool calling • LLM routing and fallback strategies • Fine-tuning evaluation • Model evaluation frameworks • Hallucination detection • Human-in-the-loop validation • Text-to-SQL using LLMs • Schema-aware prompting • Embeddings and semantic search AI Platform & Architecture Skills • Enterprise AI platform architecture • Scalable AI workflow design • AI governance standards • AI guardrails implementation • Responsible AI controls • PII redaction • Audit logging • Model usage monitoring • Latency, cost, and accuracy optimization • AI/ML feature engineering • Recommendation systems • Feedback loops for model improvement
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