Our Client Currently looking for Sr. Staff AI/ML Engineer

What you’ll do day-to-day:

• Design and build scalable platform services — agent orchestration, RAG pipelines, eval frameworks, model serving — that internal teams use to ship AI-powered products.
• Lead technical strategy and architecture for the AI platform, including model lifecycle, observability, safety guardrails, and evaluation infrastructure.
• Collaborate cross-functionally with app teams, PMs, and Designers to understand their AI needs and deliver platform capabilities that unblock them.
• Build, harden, and operate shared infrastructure that powers intelligent agents across Gusto (e.g., retrieval, routing, prompt management, content selection).
• Stay current with AI/ML research; rapidly prototype and productionize new techniques that strengthen the platform.
• Establish robust practices for validation, deployment, monitoring, and ongoing performance management of platform services and the agents built on them.
• Communicate technical strategy, tradeoffs, and impact clearly to executives and non-technical partners.
• Mentor engineers across teams, raising the bar on AI/ML best practices and fostering a culture of pragmatic innovation.

Here’s what we’re looking for

• 12+ years building and deploying end-to-end AI/ML systems, with experience designing platform-level infrastructure that other engineering teams build on.
• Deep expertise in one or more areas: LLMs, NLP, retrieval/RAG, agent orchestration, deep learning, or reinforcement learning.
• Hands-on experience building LLM-based applications and agentic workflows — including prompt engineering, retrieval design, evaluation, and production deployment.
• Proficiency with modern ML frameworks (PyTorch, TensorFlow, Hugging Face) and cloud platforms (GCP, AWS, or Azure).
• Strong Python skills and sound software engineering fundamentals — testing, code review, CI/CD, reliability, and API design.
• Proven track record shipping impactful AI/ML projects to production, ideally in a platform or infrastructure context.
• Demonstrated ability to lead cross-functionally, influence technical direction, and communicate clearly with both engineers and non-technical stakeholders.
• Ph.D. or Master’s in CS, ML, Statistics, Mathematics, or related field is a plus.

• Are you interested in this position?

   

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