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Remote role, generalist mid-level backend title, and AI/LLM demand create high applicant competition.
Backend engineering skills are transferable, but LLM-specific experience raises domain dependency.
Explicit 3+ years requirement plus mandatory Python backend and LLM integration skills narrow candidate pool.
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Build and maintain production-grade Python backend services and internal tools for AI-powered applications integrating large language models (LLMs).
Design, implement, and support scalable REST APIs, async workflows, background jobs, and orchestrate complex multi-language codebases to enable reliable AI features.
Monitor system performance, debug issues across distributed services and APIs, and collaborate cross-functionally to deliver production-ready AI/LLM applications within a fast-evolving environment.
Bachelor's degree in Computer Science or related field.
3+ years of professional experience in backend or systems engineering with strong Python development for production systems.
Experience integrating LLM APIs or AI-driven services into real applications.
Availability to start urgently within 1–2 weeks; fully remote role with occasional office visits 1–2 times per year.
Experienced in designing and operating scalable backend architectures and orchestration workflows in AI/LLM contexts.
Skilled in debugging and maintaining complex distributed systems with cross-language codebases involving Python, C#, and C++.
Comfortable working in fast-paced, remote-first, cross-timezone teams collaborating with US Pacific Time zones.