Job Overview
Senior AI Engineer – Agentic Workflows to build the skills, tools, and agents that power our most advanced products incorporating generative AI—and to bring them together into reliable, production‑ready workflows.
Role Description
You will work closely with business and product teams to translate high‑level problems into structured agentic workflows and production‑ready solutions.
You will design multi‑step agentic systems using LangGraph and integrate leading LLM providers. You will be asked to work smart and efficiently with Claude Code and similar tools as part of your day‑to‑day engineering workflow to accelerate delivery and improve code quality.
A key part of the role is establishing strong evaluation practices to measure quality, reliability, and cost, while maintaining a high sense of ownership from design through deployment.
Responsibilities
- Design Agentic Workflows: Architect end-to-end workflows using LangGraph (or similar), breaking complex problems into composable steps, states, and policies
- Problem Decomposition & Solution Design:



Translate high‑level business problems into structured agentic solutions, defining workflows, components, and trade‑offs across multiple design options.
- Build Skills, Tools, and Agents: Implement reusable skills, tools and agents, and compose them into workflows that are maintainable and testable.
- Choose the Right Building Block: Demonstrate strong judgement on when to build a skill vs. a tool vs. an agent vs. a workflow, based on problem decomposition, system design trade‑offs, and long‑term maintainability—balancing accuracy, complexity, observability, and long‑term reuse.
- Model Strategy & Integration: Integrate and operate multiple LLM providers, optimising for latency, cost, and output quality
- Performance Optimization: Optimize prompt engineering, token usage, chunking strategies, and inference efficiency across the platform.
- Evaluations & Quality: Define and implement evaluation strategies (off

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