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Aufgaben

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.

- 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. Qualifications 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.

Das wird geboten

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.

Über das Unternehmen

Before you apply This is a hands-on production role, not a research or prototyping one. Please only apply if you ve personally built or been a core builder on a system that s live with real users — not a demo, hackathon, or personal project. You should be able to speak in depth, from direct experience, to most of the following: - You ve built an agent or LLM system that takes actions against business systems — calls APIs, updates records, triggers workflows — not one that only answers questions from documents. - You ve shipped Go (or Java or similar languages) in a production backend (be specific about which, and how much). - You ve worked with a service-to-service orchestration tool such as n8n, Temporal, MuleSoft, Apache Camel, or Boomi. - You ve operated an API gateway (Kong, Tyk, or similar) in production. - You ve built or run a system serving multiple tenants/customers on shared infrastructure. - You ve built or used an evaluation framework to validate AI output quality before it shipped — not just spot-checked it.

If your AI experience is mainly demos, personal projects, or wiring a single LLM call into an app, this role is above that level. 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.