Senior AI Engineer – Applied

We’re looking for a hands-on Senior Applied AI Engineer to build the AI agents that transform Engineering workflows across industries such as Manufacturing, Aerospace, and Semi-conductor. You’ll be building the advanced workflows that power next-generation simulation and design tools used by industry-leading engineering teams. Our platform allows Forward Deployed Engineers (FDEs) and customers to build and deploy deep learning surrogates that solve massive engineering challenges.

Your mission is to build advanced Agentic workflows that drive real value for our customers across the Engineering industry.

Core Responsibilities

You will work with our product teams and customers to build and deploy agentic functionality directly into our platform, as well as deeply integrate our capabilities into how our customers operate.

• You are an expert in building and orchestrating AI Agents. You know how to chain LLMs, tools, and data to solve complex reasoning tasks.
• You aggressively dogfood our tools to build production solutions, and you provide direct feedback to improve the Developer Experience.
• Collaborative: You excel at partnering with domain experts (e.g. Physicists) to understand their mental models and codify them into agents.

Core Responsibilities

You will be the tip of the spear for our Agentic capabilities, proving what is possible and helping us productise it.

• Be “Customer Zero”: Aggressively dogfood our internal platform. If the Developer Experience hurts, you are the first to flag it and help fix it.
• Build Advanced Agentic Workflows: Design and implement complex agents that leverage our surrogates and simulation tools to solve specific customer problems.
• Drive Product Strategy: Use your direct experience building solutions to identify common patterns across customers. You will help decide what functionality belongs in the platform vs. what stays in the application layer.
• Rigorous Evals & Tracing: You don’t just ship “vibes.” You implement systematic evaluation loops and deep tracing to prove that your agents are reliable, robust, and improving over time.

The Tech Stack

• Languages: Python (Primary), Go or TypeScript (Secondary).
• Platform tooling: Kubernetes, Docker, Terraform.
• Agentic Infrastructure: Agentic Frameworks, Vector DBs
• Observability: OTel, Agent Tracing / Evaluations tooling

Who You Are

• A Builder First: You judge your success by shipping working agents that solve real problems in production, not just by writing design docs.
• Strategic & Broad: You don’t just solve the problem in front of you; you look for the “generalisable proof-point” that informs the broader platform strategy.
• Empirical: You value systematic measurement over intuition. You believe that if you can’t trace it and eval it, you can’t ship it.
• Agentic Native: You have a deep spike in Agentic Systems. You are comfortable working with domain experts to translate their knowledge into deterministic tools and workflows.

Qualifications

• 3+ years of experience in Applied AI, ML Engineering, or Software Engineering.
• Proven experience building and deploying AI Agents or complex LLM workflows in production.
• Demonstrated ability to collaborate with Domain Experts to solve complex, domain-specific problems.