Define technical strategy and architecture for Python-based AI backend platforms that support LLM integration, generative AI pipelines, and AI agent orchestration
Job Summary
Define technical strategy and architecture for Python-based AI backend platforms that support LLM integration, generative AI pipelines, and AI agent orchestration.
Architect scalable, reliable, and secure systems on AWS infrastructure that serve as the foundation for multiple teams.
Mentor and technically guide engineers at all levels, elevating team capabilities through code reviews, architecture reviews, and technical leadership.
Matching Summary
Define technical strategy and architecture for Python-based AI backend platforms that support LLM integration, generative AI pipelines, and AI agent orchestration.
Skills & Requirements
Must-have
Python backend development
FastAPI
AWS infrastructure
LLM integration
Generative AI architectures
Microservices architecture
Distributed systems design
Nice-to-have
Technical leadership and strategy
Engineering practices influence
AI system observability
Cross-functional initiatives
Mentoring and guiding engineers
Translate requirements to strategy
Key Requirements
7+ years professional software engineering experience
Expert-level Python proficiency
Comprehensive understanding of LLMs and AI infrastructure
Proven track record architecting complex platforms on AWS
Experience with containerization and orchestration
Bachelor's or Master's degree in Computer Science or equivalent