Staff Engineer, AI Product

Staff Engineer, AI Product at Jobgether scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

Remote (India)leadFull-time

AI in this role

ai-agents

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Engineer, AI Product based in India.

This role offers the opportunity to shape the engineering foundations behind AI-powered products operating at enterprise scale. You will design and evolve distributed systems capable of supporting high-volume AI agents while balancing reliability, performance, and cost. The position combines hands-on software engineering with technical leadership, mentorship, and architectural ownership. You will establish engineering practices around testing, observability, CI/CD, and production reliability that enable teams to move faster with confidence. Working closely with ML engineers and researchers, you will help turn advanced AI capabilities and agentic systems into dependable production experiences. With significant autonomy and broad technical influence, you will help define the platform architecture and engineering standards that support future AI product development.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI Agents

Questions you could be asked

How do you decide when an AI agent can act on its own versus asking for approval first?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: AI Agents. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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