IFS
5001 - 10000 employees
Founded 1983
🏗️ Construction
🏭 Manufacturing
📦 Logistics
💰 Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
Knowledge Engineer – Knowledge Graph, Agentic Interfaces
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
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IFS
5001 - 10000 employees
Founded 1983
🏗️ Construction
🏭 Manufacturing
📦 Logistics
💰 Secondary Market on 2022-03
Construction • Manufacturing • Logistics
IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.
📋 Description
• Build and curate the ontology, knowledge graph and grounding infrastructure for AI agents and customer data • Design and build MCP servers over product business objects, including capability modelling, discoverability, versioning and backward compatibility • Build a write path enabling agents to safely change customer operational data • Design and build an ontology and knowledge graph with domain experts • Build retrieval and grounding infrastructure using embeddings, vector databases, hybrid search, chunking, indexing, memory architectures and grounding techniques • Establish data quality, provenance and versioning practices for the knowledge graph • Build a skills layer and router that maps user requests to correct operations and sequences • Build the control plane covering authentication, entitlements, agent identity, telemetry, metering, injection resistance and deny-by-default controls • Build an evaluation harness to certify agent behaviour against the real product • Develop rapid prototypes and proofs of concept for emerging technology, product opportunities and customer scenarios • Establish evaluation, testing, observability, monitoring, governance, security and operational excellence practices • Contribute to technical design and review other engineers’ work • Support colleagues entering the domain • Represent the work through customer engagements, demonstrations, industry events and partner collaboration
🎯 Requirements
• Demonstrable, hands-on experience designing, building and shipping production AI applications • Production experience building and operating enterprise systems • Deep experience in distributed systems, cloud-native architectures, API and schema design, event-driven systems, security, observability and CI/CD • Strong programming skills in a modern backend language • Experience delivering LLM systems, RAG, agentic workflows and orchestration frameworks • Experience with tool use, function calling, workflow orchestration and autonomous or multi-agent architectures • Hands-on expertise in knowledge graphs and semantic modelling • Experience with ontology design using RDF/OWL/SKOS or property-graph equivalents • Experience with taxonomy and controlled-vocabulary design, entity resolution, schema evolution and versioning • Experience with embeddings, vector databases and grounding strategies • Evaluation experience including experimentation, benchmarking, prompt engineering, tracing, quality measurement and agent tuning • Ability to integrate enterprise applications, business processes, workflows and data platforms • Ability to work directly with domain experts to create explicit, machine-usable models • Depth in tool-surface and agent-runtime engineering or enterprise platform engineering • For enterprise platform depth: Oracle PL/SQL, OData and experience with large metadata-driven systems • Desirable: Semantic Kernel, Microsoft Agent Framework, LangGraph, AutoGen, PydanticAI, OpenAI Agents SDK or CrewAI • Desirable: Docker and Kubernetes • Desirable: Azure, AWS, GCP or another hyperscale cloud platform • Desirable: Reverse-engineering or interpreter work, token-efficient agent design, relevant enterprise software domain experience, and contributions to open source, technical communities, conferences, publications or standards
🏖️ Benefits
• Remote and in-office working flexibility • Inclusive and diverse working environment • Commitment to sustainability • Opportunities for customer engagements, demonstrations, industry events and partner collaboration • Opportunity to work in a global, diverse environment
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