2 days ago
Staines-upon-Thames, United KingdomSenior
Responsibilities
- Design and build MCP servers over enterprise product business objects, including capability modeling, discoverability, versioning, and backward compatibility.
- Build secure agent write paths for changing customer operational data and develop semantic, ontology, knowledge graph, skills, routing, and orchestration layers.
- Develop the agent control plane covering authentication, entitlements, agent identity, telemetry, metering, injection resistance, and deny-by-default controls.
- Build evaluation harnesses to certify agent behavior against the real product and improve systems using measured evidence.
- Establish evaluation, testing, observability, monitoring, governance, security, and operational excellence practices.
- Prototype emerging technologies and customer scenarios, contribute to technical design and code reviews, support colleagues, and represent the work with customers and partners.
Requirements
- Strong software engineering background with production experience building and operating enterprise systems.
- Deep experience with distributed systems, cloud-native architectures, API and schema design, event-driven systems, security, observability, and CI/CD.
- Strong programming ability in a modern backend language.
- Hands-on experience designing, building, and shipping production AI applications using large language models, RAG, agentic workflows, orchestration frameworks, tool use, function calling, or multi-agent architectures.
- Experience with agent evaluation, experimentation, benchmarking, prompt engineering, tracing, quality measurement, and agent tuning.
- Ability to integrate enterprise applications, business processes, workflows, and data platforms.
- Depth in tool-surface and agent-runtime engineering, knowledge graphs and semantic modeling, or enterprise platforms such as Oracle PL/SQL and OData.
- Experience with agent frameworks such as Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, PydanticAI, the OpenAI Agents SDK, or CrewAI is desirable.
- Experience with reusable AI platforms, MCP ecosystems, containerized platforms, infrastructure automation, Docker, Kubernetes, and Azure, AWS, GCP, or another hyperscale cloud platform is desirable.
- Experience with reverse engineering, interpreter work, token-efficient agent design, relevant enterprise software domains, or contributions to open-source projects, technical communities, conferences, publications, or standards is desirable.
Benefits
- Flexible hybrid work opportunities and workplace flexibility.
- Opportunities to engage with customers, attend demonstrations and industry events, collaborate with partners, and work in a global and diverse environment.
Categories
About IFS
IFS builds IFS Cloud, an enterprise suite covering ERP, EAM, FSM, SCM, and project/service management for manufacturers and asset‑intensive organizations. Its business model centers on software subscriptions and services for cloud and hybrid deployments, plus industry-specific modules and consulting. Founded in 1983 and headquartered in Linköping, Sweden, the company is privately held under EQT ownership and operates globally across industrial and service-focused markets.