Build and own production-grade AI systems, including backend services, scalable APIs, LLM integrations, RAG pipelines, and agentic workflows. Responsibilities include testing, documentation, model deployment, performance optimization, collaboration, and continuous learning, with increasing ownership and complexity based on experience.
Role Summary
Focus: Independently build backend services, own features, production RAG, agentic workflows, deploy models, optimize
performance.
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.
Strong Python skills appropriate to experience level, backend/API development, AI/LLM exposure,
cloud-native development, and software engineering best practices.
Ownership, code quality, curiosity, speed
with quality, collaboration, and production mindset.
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