AI Engineer Scheduling and Optimisation

We are seeking an experienced Software Engineer to embed directly with customers on IFS PSO our enterprise scheduling and optimization platform (.NET 10/C# backend Angular frontend) used to solve complex resource planning and scheduling problems at scale. This is a hands-on technical role that combines software engineering applied optimization and direct customer engagement. 

You will sit at the intersection of our optimization engine and our customers: modeling real-world planning problems and shipping working solutions fast embedded with customer teams under tight deadlines. 

This role suits an engineer who wants to solve hard optimization problems in the field work directly with customers and feed what they learn back into the core product. 

Were AI-first: youll be expected to make full use of AI-assisted and agentic workflows day to day and were looking for someone genuinely enthusiastic about using them to model problems and ship solutions faster. 

Key Responsibilities 

• Partner directly with customers to translate real-world scheduling and planning problems into optimization models. 

• Configure extend and debug the core scheduling engine and related components against live customer datasets. 

• Build and iterate on new solutions with customer teams often under tight deadlines. 

• Feed field learnings back to core product and engineering teams to improve the platform. 

Qualifications :

• Strong software engineering background ideally C#/.NET; comfortable reading and modifying a large codebase. 

• Hands-on experience with optimization techniques constraint programming mathematical/linear programming or algorithm development. 

• Comfortable working directly with customers: gathering requirements explaining trade-offs and presenting results. 

• Bias toward shipping with a willingness to develop and iterate quickly under ambiguity. 

• Strong analytical and problem-solving skills with the ability to work through ambiguous real-world constraints. 

Preferred / Bonus Experience 

• Experience with Angular/TypeScript or other modern frontend frameworks. 

• Background in workforce or resource scheduling domains. 

• Experience with large-scale data modelling. 

• Familiarity with enterprise SaaS platforms or vertical-specific optimization products. 

Technology Stack (Representative) 

• Backend: .NET 10 C# 

• Frontend: Angular TypeScript 

• Optimization: Constraint programming mathematical/linear programming heuristics algorithm development. 

• Deployment: On-site and embedded customer environments cloud-hosted platform 

• Practices: Git automated testing DevOps 

What Success Looks Like 

• Customer scheduling and planning problems modeled accurately and solved within performance targets. 

• Working solutions shipped to customers on tight timelines. 

• Optimizer performance and quality issues diagnosed and resolved efficiently. 

• Field learnings translated into concrete product and engineering improvements. 

• Strong trusted relationships built with customer teams. 

Additional Information :

We believe that coming together as a community in person is important for innovation connection and fostering a sense of belonging. Our roles have the right balance of remote and in-office working to enable flexibility for managing your life along with ensuring a real connection with your colleagues and the broader IFS community.  

Remote Work :

No

Employment Type :

Full-time