Full Stack Engineer - AI Engineering - New Capabilities

IFS · London, England ·

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Overview

In this role, you embed with customer teams to model real-world scheduling problems and ship optimized solutions within a fast-paced enterprise context. You work at the intersection of the optimization engine and customer environments, applying AI-first approaches to solve complex planning challenges. You will influence product direction by feeding field learnings back to the core platform. The opportunity combines hands-on engineering, direct customer engagement, and rapid iteration at scale.

Pay / Benefits

  • hybrid work opportunities
  • inclusive workplace culture
  • global collaboration
  • opportunity to work with AI-driven solutions
  • career development in AI for enterprise

Responsibilities

  • Translate real-world scheduling problems into optimization models with customers
  • Configure, extend, and debug the core scheduling engine against live datasets
  • Build and iterate on new customer solutions under tight deadlines
  • Convey field learnings to product and engineering teams to improve the platform

Key requirements

  • Strong software engineering background, ideally C#/.NET; able to work with a large codebase
  • Hands-on experience with optimization techniques (constraint programming, LP, or algorithm development)
  • Comfortable engaging with customers to gather requirements and present trade-offs
  • Bias toward shipping; able to iterate quickly under ambiguity
  • Strong analytical and problem-solving skills for real-world constraints
  • customer-facing communication
  • problem-solving
  • agile/adaptive mindset
  • C#/.NET
  • Angular/TypeScript
  • constraint programming
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