Key Responsibilities Design, develop, and maintain production-grade REST and WebSocket APIs using FastAPI, with async patterns, WebSockets, JWT middleware, Pydantic validation, and server lifecycle management. Operate and manage AWS Cloud Services (DynamoDB, ECS, IAM, Bedrock) ensuring availability, security, and scalability. Implement LLM and AI Agent architectures, including prompt engineering, model selection (light vs heavy), and multi-step orchestration flows with frameworks such as LangChain or CrewAI. Ensure code quality through robust testing (pytest, pytest-asyncio, AWS mocking with moto, factories with polyfactory, freezegun) and maintain CI/CD pipelines in GitHub Actions. Must-have Skills Advanced experience in Python Backend with FastAPI and deep understanding of ASGI. Hands-on experience operating AWS services (DynamoDB, ECS, IAM). Strong knowledge of LLMs, AI Agent frameworks, and applied prompt engineering. Proven ability to write and maintain unit and integration tests from day one. Experience with CI/CD pipelines (GitHub Actions). Nice-to-have AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows. What We Offer A High-Impact Environment Commitment to Professional Development Flexible and Collaborative Culture Global Opportunities Vibrant Community Total Rewards Specific benefits are determined by the employment type and location. #J-18808-Ljbffr
Senior Ai Engineer (Python Advanced)
WIZELINE
Remote, Remote
Publicado hace 11 días
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