AI Engineer
Summary
Build and optimize high-performance Python backend systems and agentic AI workflows, using frameworks like LangChain and FastAPI, from prototype to production.
Role Summary
Focus: Lead enterprise AI platform
development, define architecture, drive model-serving strategy,mentor teams,
establish standards.
Responsibilities
Ownership and complexity increase with
experience while retaining focus on building production-grade AI systems, scalable APIs, LLM integrations, RAG pipelines, agentic workflows, testing, documentation, deployment, optimization,
collaboration, and continuous learning.
Qualifications
Strong Python skills appropriate to experience level, backend/API development, AI/LLM exposure,
cloud-native development, and software engineering best practices.
What We Value
Ownership, code quality, curiosity, speed
with quality, collaboration, and production mindset.