AI Product Engineer

1 мес. назад

ВеликобританияHybrid

llmaiagent-frameworkbenchmarking

Develop and deploy LLM-based AI features and agentic workflows for procurement workflows and manufacturing supply chain resilience.

We're looking for an AI Engineer to build the agentic core of our product. You'll work closely with our CTO and own LLM-based features and agentic workflows end to end, from the agent framework through to the tooling that connects it to a customer's ERP. You’ll ship the cutting edge models and paradigms to Fortune 500 procurement teams.
Procurement is a demanding domain for agents: long-running workflows over messy data, where a wrong answer costs a customer real money. You'll decide how multi-agent collaboration works here, and how we benchmark it for performance, safety and behaviour.
We're building next-generation agentic systems that can manage entire procurement workflows, with a mission to make global manufacturing supply chains more resilient to an ever-changing world. That's a $3tn market opportunity.
We're backed by world-class investors including Sequoia Capital, and you'll be joining a team bringing together experience from OpenAI, Meta, Revolut, NASA and McKinsey.
Own development and deployment of LLM-based features and agentic workflows end-to-end
Develop new agentic frameworks to handle multi-agent collaboration.
Benchmark LLMs across performance, safety and behavioural monitoring.
Operationalise AI features by building tools to connect them to customer systems
Collaborate with customers and internal teams to understand customer problems and design optimal solutions

Have engineering experience at tech and product-driven companies, so you know what great code looks like
Have experience shipping LLM-based solutions to production
Have a deep understanding of the core technology behind language models, as well as computer science fundamentals
Have built features end-to-end in Python
Enjoy communicating with both technical and non-technical stakeholders.

We can move quickly through these stages, so let us know if you have any timelines we need to meet.
Initial call (30 mins) : this first step is an opportunity for you to hear more about and the role, and for us to learn more about how your experience aligns with the role.
Skills interview (45 mins): in this step, we'll ask you to prepare a presentation and take Q&A.
In-person interview (half-day, paid): for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at is like. This day will include a culture interview, founder interview and a presentation task / discussion with the team.