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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Listing supplied by one of our partner job boards. Last confirmed: 2 days ago.
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