Senior AI/ML Engineer (Agentic Systems)

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AI Summary

We're seeking a Senior AI/ML Engineer to work on building advanced agentic AI platforms. The ideal candidate will have 3-5 years of experience in building ML systems in production, hands-on experience with LLM fine-tuning, and a solid understanding of AI/LLM Ops.

Key Highlights
Building AI agents capable of high-quality, multi-turn interactions
Improving reasoning and reducing hallucinations through prompt design, distillation, and reinforcement learning
Optimising inference for latency, cost, and reliability
Technical Skills Required
Python PyTorch Hugging Face LLM fine-tuning dataset curation
Benefits & Perks
$190K-$250K annual salary
equity
hybrid or remote work
visa transfers supported

Job Description


Senior AI / ML Engineer (Agentic Systems)

Hybrid (Redwood, CA) or Remote US

$190K–$250K + equity


We’re partnering with a AI first startup that’s building one of the more advanced agentic AI platforms in production today. Their product is already used by large enterprise teams, and the focus is on making AI agents that can handle real unstructured workflows.

The team is small and senior, with a strong technical bar and meaningful ownership. This role sits right at the core of their agent platform and is for someone who wants to work on how LLMs actually reason, interact, and scale in the real world.


What you’ll work on:

  • Building AI agents capable of high-quality, multi-turn interactions
  • Improving reasoning and reducing hallucinations through prompt design, distillation, and reinforcement learning
  • Creating and curating datasets for training, evaluation, and iteration
  • Optimising inference for latency, cost, and reliability
  • Building backend services that support AI-driven workflows at scale


What we're looking for

  • 3–5 years of experience building ML systems in production
  • Hands on experience LLM fine-tuning and dataset curation
  • Strong Python experience, ideally with PyTorch and Hugging Face
  • Solid understanding of AI / LLM Ops beyond just calling APIs
  • Comfortable owning problems end to end in a fast-moving environment


Logistics

  • Hybrid preferred (Redwood City or NYC), remote US also possible
  • Visa transfers supported, no new sponsorship


If you'd like to find out more about this role please don't hesitate to apply, and we'll be in touch.


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