Enterprise AI Engineer - Knowledge Graph & Agents

IFS; Greater London; Híbrido; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

IFS is hiring engineers to build AI-native enterprise software. You will craft ontology, knowledge graphs and grounding infrastructure so AI agents understand IFS data and reason over it with accuracy. Join a team delivering semantic, scalable AI for complex enterprise environments.

You will design and implement MCP servers, knowledge-grounding pipelines and evaluation harnesses, working with domain experts to turn tacit knowledge into machine-usable models. Hybrid work options available.

Formación

• Strong software engineering first.
• Production experience building and operating enterprise systems with distributed systems, cloud-native architectures, API/schema design, event-driven systems, security, observability and CI/CD.
• Strong backend programming skills.
• Experience delivering AI systems based on LLMs, retrieval-augmented generation, agentic workflows and orchestration frameworks, incl. tool use and function calling.
• Deep hands-on expertise in knowledge graphs, ontology design, embeddings, vector databases and grounding strategies.
• Evaluation as a discipline: experimentation, benchmarking, tracing and agent tuning.
• Ability to integrate enterprise apps, processes, workflows and data platforms.
• Comfort translating tacit business knowledge with domain experts into machine-usable models.

Responsabilidades

• Design and build MCP servers exposing application capabilities to agents.
• Build write path for safe changes to customer data.
• Create semantic layer: ontology and knowledge graph per industry partnership.
• Develop retrieval/grounding infra: embeddings, vector databases, hybrid search, indexing.
• Establish data quality, provenance and versioning for the knowledge graph.
• Build the skills router mapping requests to operations and sequences.
• Implement authentication, entitlements, agent identity, telemetry and secure defaults.
• Build evaluation harness to certify agent behaviour against product data.
• Create rapid prototypes to validate emerging tech and opportunities.
• Define engineering practices: testing, observability, governance and security.
• Contribute to technical design and code reviews; support teammates.
• Represent work in customer engagements and partner events.

Conocimientos

Distributed systems

Cloud-native architectures

API and schema design

Security & observability

Knowledge graphs & ontology design

Agent frameworks & RAG

OpenAI tooling

Herramientas

Docker

Kubernetes

Azure

AWS

GCP

Semantic Kernel

LangGraph

OpenAI Agents SDK

PydanticAI

Descripción del empleo

IFS is hiring engineers to build AI-native enterprise software. You will craft ontology, knowledge graphs and grounding infrastructure so AI agents understand IFS data and reason over it with accuracy. Join a team delivering semantic, scalable AI for complex enterprise environments.

You will design and implement MCP servers, knowledge-grounding pipelines and evaluation harnesses, working with domain experts to turn tacit knowledge into machine-usable models. Hybrid work options available.