Enterprise AI Engineer: LLMs, Agents & Knowledge Graphs

IFS; England; Híbrido; GBP 90.000 - 150.000; Jornada completa

Descripción de la vacante

IFS is building the next generation of AI-native enterprise software. You will design ontologies, knowledge graphs and grounding infra that let AI agents understand IFS software and reason over customer data to enable trusted, scalable automation.

Join a team delivering production AI systems across cloud-native architectures, with responsibilities spanning MCP servers, retrieval, grounding and governance. This role combines deep engineering with enterprise impact, in a hybrid work model across

Formación

• Production AI experience designing, building and shipping production AI applications.
• Experience delivering AI systems built on LLMs, retrieval-augmented generation and agentic workflows.
• Strong software engineering foundation for enterprise systems, including distributed systems and CI/CD.
• Experience designing and operating backend services in cloud-native environments.
• Ability to collaborate with domain experts to translate tacit knowledge into explicit models.

Responsabilidades

• Design and build MCP servers (Model Context Protocol) over the product’s business objects with first-class handling of capability modelling, discoverability and versioning.
• Build the write path enabling agents to safely modify a customer’s operational data.
• Design and implement the semantic layer: ontology and knowledge graph, generated from platform data and curated by industry experts.
• Develop retrieval and grounding infrastructure connecting agents to knowledge: embeddings, vector databases, hybrid search and indexing strategies.
• Establish data quality, provenance and versioning for the knowledge graph to prevent drift in agent behaviour.
• Build the skills layer mapping requests to operations and sequences with a router to select between them.
• Create the control plane: authentication, entitlements, agent identity, telemetry, metering, and secure defaults.
• Develop evaluation harnesses to certify agent behaviour against the real product and drive improvements.
• Prototype rapidly through PoCs to validate technology opportunities and customer scenarios.
• Define engineering practices: testing, observability, governance and security for operational excellence.
• Contribute to technical design and peer reviews; support colleagues entering the domain.
• Represent the work to customers and partners through demos and collaborations.

Conocimientos

AI systems design

Distributed systems

Backend programming

Cloud-native architectures

Knowledge graphs

Prompt engineering

Herramientas

Docker

Kubernetes

OpenAI API

LangGraph

Descripción del empleo

IFS is building the next generation of AI-native enterprise software. You will design ontologies, knowledge graphs and grounding infra that let AI agents understand IFS software and reason over customer data to enable trusted, scalable automation.

Join a team delivering production AI systems across cloud-native architectures, with responsibilities spanning MCP servers, retrieval, grounding and governance. This role combines deep engineering with enterprise impact, in a hybrid work model across