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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Expert - Agentic Systems - **Company:** Veralto - **Location:** Belfast, United Kingdom (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Law Practice Management Software, Data Discovery, Python (Programming Language), Machine Learning, Software Engineering, TypeScript, Policy as Code, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, AI Platforms, Information Technology, Software Coding - **Published:** November 13, 2026 - **Apply:** https://dejobs.org/x/x/8350BC75BE114A2EA5A0321CAB003602/job/ ## About the Role * Strong software engineering experience designing, building, and operating production systems in Python, TypeScript, Java, or a similar language. * 10+ years of software engineering experience, including substantial time as a senior/staff/principal-level individual contributor architecting and operating production agentic AI systems involving multi-step reasoning, tool use, planning, or orchestration, where alignment and dependability of the agent's output is a key success factor. * Experience across multiple distinct agentic AI projects, able to draw on that breadth to guide technical decisions in unfamiliar contexts. * Deep, hands-on expertise in: LLM agent frameworks and orchestration, tool-calling and validation-before-action patterns, RAG and retrieval architecture, evaluation and observability for AI systems. * A track record of setting technical direction and shaping outcomes across teams without formal management authority. * Sound engineering judgement on production concerns at platform scale: reliability, security, multi-tenancy, performance, and observability for services consumed by many internal teams. * Excellent technical communication - able to write RFCs and architectural documents that align diverse stakeholders, and to move fluently between deeply technical and business audiences. * Comfort operating with significant ambiguity and autonomy, including defining the right problem as much as solving it. * Undergraduate, Master's, or PhD in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or a related field (or equivalent experience). Preferred experience * Public technical-leadership signals: conference talks, published papers or blog posts, significant open-source contributions, or patents in AI/agentic systems. * Semantic and symbolic tooling (RDF/OWL, SHACL, Datalog, DMN, production rule engines, policy-as-code) as one of several tools in a broader agentic toolkit. * Experience in high-accountability, regulated domains (pharmaceutical or food labelling, legal technology, financial services) or the packaging/graphic arts industry. * Experience scaling an AI or data platform from a handful of internal consumers to many, including the governance and support model that requires. ## Description The Esko AI team is a group of specialists focused on leveraging AI to solve valuable and often challenging customer problems that have historically resisted automation via purely rule-based approaches. To succeed in the complex domain of packaging graphics, AI agents must operate reliably according to regulatory requirements, technical specifications, brand guidelines, customer-specific conventions - and invoke expert human judgement when required. This is a complex engineering problem that goes beyond the boundaries of standard agentic scenarios. We're looking for a Technical Expert to take technical ownership of core agentic capabilities within Esko's AI Platform, from experimentation and design through production implementation.be a senior authority and author on agentic AI across Esko's AI Platform. This is a hands-on technical role, not a management one: you'll set direction and raise the bar through writing code, leading experiments, writing documentation, and mentorship of team members for a platform that spans multiple agentic capabilities (knowledge & reasoning, tool use and orchestration, evaluation, and safety/guardrails) and which is used by many product teams across the business. You should bring experience from multiple agentic AI projects with a similar order of complexity in terms of the technical challenges you have successfully tackled, together with a 'sixth sense' for agentic AI operation to predict the approaches which are likely yield successful results as the platform grows into new domains. What you will do * Go deep on the hardest technical problems inside the agentic AI platform - the ones where progress depends on specialist expertise, not just engineering effort: data discovery & consolidation, agent planning and tool-use, retrieval and grounding, validation-before-action, conflict/ambiguity handling, and similar hard sub-problems. * Personally design, build, and harden the platform's most technically demanding components - the pieces where correctness, edge cases, and failure modes are subtle enough to need deep, hands-on ownership rather than delegation. * Act as the team's go-to technical expert on agentic AI and LLM systems: the person others bring their hardest "how do we actually make this work" problems to, providing depth on specific technical questions rather than setting overall team direction. * Diagnose and resolve the platform's toughest technical issues - performance, reliability, correctness, and edge-case failures - where specialist knowledge is the difference between a real fix and a workaround. * Contribute into architecture discussions, stress-testing designs against hard technical realities (scaling limits, failure modes, subtle correctness issues) that come from real specialist experience. * Evaluate emerging techniques, frameworks, and tools in agentic AI and LLM tooling, and give the team pragmatic, evidence-based recommendations on what's worth adopting. * Write technical deep-dives and documentation that make complex mechanisms legible to the rest of the team, so your expertise compounds rather than staying tacit.