Level

JobgetherPosted today

L4

Staff AI Engineer

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

Remote (US)seniorFull-time

AI in this role

Build and scale generative AI products, enterprise RAG systems, agentic workflows, and underlying infrastructure as a Staff AI Engineer.

pythonrag
ragai-agentsgenerative-aimachine-learningai-infrastructureagentic-workflows

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

As a Staff AI Engineer, you will shape the technical direction of advanced AI products and help turn ambitious ideas into dependable production systems. You will work across generative AI, enterprise RAG, agentic workflows, machine learning pipelines, and AI infrastructure. The role combines hands-on engineering with broad technical leadership and cross-team influence. You will tackle complex, ambiguous challenges while building scalable foundations that other engineers can leverage. You will collaborate closely with Product, Engineering, Data Science, Data Engineering, and Analytics teams. Your work will directly influence the quality, reliability, security, and customer impact of conversational and analytical AI experiences.

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

RagAI AgentsGenerative AIMachine LearningAI InfrastructureAgentic WorkflowsPython

Questions you could be asked

  1. How would you design a retrieval step so the model answers from real data instead of guessing?
  2. How do you decide when an AI agent can act on its own versus asking for approval first?
  3. Tell me about a project where generative ai was part of your work. What did you do?
  4. Tell me about a project where machine learning was part of your work. What did you do?
  5. Tell me about a project where ai infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Rag, AI Agents, Generative AI, Machine Learning, and AI Infrastructure. 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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