Applied AI Engineer

IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters-at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

Build the intelligence behind the experience: the session and memory model, retrieval across our own estate and the documents that run it, the agentic flows that carry out multi-step work, and the evaluation that tells us whether any of it is right.

What you will do

• Build the session and context spine: persistence, resumption, hand-over with the reasoning trail intact, and context resolved from a person's identity and entitlements.

• Build retrieval and grounding across structured records and documents, at a cost and latency the product can afford.

• Build document intelligence over manuals, engineering drawings, certification directives and contracts, extracted and citable, because for many of our customers those carry as much operational truth as the databases.

• Build the agentic flow runtime: multi-step work with tools, and the rules that decide when a human is asked rather than told.

• Handle speech and images as first-class input alongside text, so the same request works dictated in a plant room or photographed at an asset.

• Build the evaluation harness, and treat it as the gate on every claim we make about autonomy.

• Build the language interface over our scheduling and optimisation engines, expressing trade-offs in the customer's own terms.

• Build the security layer with our security team: resistance to prompt injection, personal data handling, guardrails, audit and data residency.

• Experience with S2S integration, preferably using technologies such as n8n or Temporal, or alternatively MuleSoft, Apache Camel, or Boomi.
• Experience with Go and Python.
• Experience building multi-tenant SaaS solutions.
• Experience building and scaling AI-native products and applications.
• Experience with production-grade GenAI solutions, including RAG pipelines (hybrid retrieval, embeddings) and agentic systems (agent orchestration, tool usage).
• Experience with AI frameworks and tooling such as Pydantic AI, LangChain, and MCP.
• Experience with MCP development and plan-based agentic software development.
• Experience with DevOps and cloud-native infrastructure, including Docker, Kubernetes, CNCF technologies, and CI/CD pipelines.
• Experience with API gateways and API products, preferably with platforms such as Kong or Tyk.
• Preferably experience optimizing AI services for latency and cost.
• Preferably experience with specification-driven development.
• Passionate about and eager to adopt new technologies.
• Up to date with the latest developments in GenAI and AI-based software development.