全职 AI Systems Engineer 工作, 薪水, Hire Feed 公司招聘中 - Ricebowl

Role: AI Systems Engineer

Location: On-site

Payout: $350k - $500k/yr

Role Overview:

We are hiring for a Member of Technical Staff, Forward Deployed (US Gov) to work on a full-time basis, building and maintaining data pipelines for model training, evaluation, and research workflows. This role spans model experimentation, infrastructure, and deployment in high-assurance, mission-critical environments, including forward-deployed work with strategic partners. The successful candidate will have the opportunity to work on applied AI systems across research and production, contributing to the development of frontier AI models.

Key Responsibilities:

• Build and maintain data pipelines for model training, evaluation, and research workflows.

• Design and run RL environments for experimentation and training.

• Develop and scale model inference systems.

• Implement and maintain SDKs and integrations across frontier AI platforms.

• Build agentic systems (multi-agent, tools, rag) using modern LLM stacks.

Required Skills & Qualifications:

• Strong Python engineer with end-to-end ownership experience, including building and maintaining data pipelines and ML infrastructure.

• Experience with LLMs / agentic systems (Langchain, Langgraph, or similar) and familiarity with RL workflows or simulation environments.

• Experience with distributed systems or inference scaling, and comfortable working in high-security / high-reliability environments.

• Ability to operate independently in ambiguous, partner-facing contexts, with preferred experience in regulated or mission-critical domains.

• Familiarity with Vertex AI, Bedrock, or similar platforms, and background in security, infra, or high-reliability systems.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the AI industry, contributing to the development of frontier AI models and building reliable AI agents through advanced evaluations and reinforcement learning environments. The company has raised $40m+ in funding and has powered over 1 million AI-led interviews, with a goal to enable 1 billion people to do meaningful work by applying their expertise to AI.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!