Full Stack Engineer - Ai Engineering - New Capabilities

Ifs; England; On-site; GBP 70,000 - 110,000; Full time

Job summary

Ifs is seeking an experienced Software Engineer to embed with customers on scheduling optimisation for Manufacturing. You will work on a .NET/C# backend and Angular frontend, modeling real-world planning problems and delivering working solutions embedded with customer teams.

The role blends software engineering, optimization, and customer engagement in an AI-forward environment. You will translate customer problems into optimization models, extend the scheduling engine, and ship solutions under

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.

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.

Skills

C#/.NET

Optimization techniques

Customer engagement

Analytical skills

Problem solving

Tools

Git

Job description

Job Description

We are seeking an experienced Software Engineer to embed directly with customers on scheduling optimisation for Manufacturing, 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.

We're AI-first: you'll be expected to make full use of AI-assisted and agentic workflows day to day, and we're 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.