AI Engineer
Summary
Build production-grade AI systems, APIs, and LLM integrations, including RAG pipelines and agentic workflows using Python.
Role Summary
Focus: Learn, build APIs, integrate LLMs, contribute to RAG and agentic workflows, write clean Python,
support deployments.
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.