> Markdown version of [/jobs/ext/2366515-platform-engineer-iii](https://www.wearedevelopers.com/jobs/ext/2366515-platform-engineer-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Platform Engineer III - **Company:** HCLTech - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Automation of Tests, Cloud Computing, Databases, Software Debugging, Issue Tracking Systems, Python (Programming Language), Cloud Services, TypeScript, Value Engineering, Enterprise Software Applications, Large Language Models, Multi-Agent Systems, AI Platforms, Machine Learning Operations - **Published:** August 28, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=650bab0219a71b67 ## About the Role What we are looking for These are the essentials. If you meet most of them, we want to hear from you. * Several years of production software engineering experience in Python, TypeScript, Java or comparable stacks. * Hands-on experience building with LLMs and agents on at least one major platform, such as Anthropic, OpenAI, Google or Microsoft. * Practical understanding of agentic patterns: tool use, retrieval, prompting, model behaviour, evaluation and multi-agent workflows such as orchestration, delegation and self-reflection. * Experience with APIs, databases, cloud platforms, integration surfaces or comparable deployment environments. * Strong debugging, testing and integration discipline. * Experience working in ambiguous delivery contexts with customers, users or cross functional technical teams. * Ability to balance fast prototyping with production-quality engineering., Nice to have These would strengthen your application, but they are not deal-breakers. We do not expect every candidate to bring all of them. * Experience taking agentic or AI systems from prototype to production rollout. * Experience with agent orchestration frameworks, MCP servers or custom tool integrations. * Experience with data and retrieval pipelines, workflow automation or model deployment. * Experience with evaluation, observability, troubleshooting or release safeguards for AI systems. * A vendor certification on one of the major AI platforms (Anthropic, OpenAI, Google or Microsoft). ## Description governed, code-first delivery, where evidence, tests, evaluation and release confidence turn the prototype into verified value. You pick the right model, framework and harness for the customer's constraints, then make it reliable in their environment. Success is measured by what the customer can run in production and the value it delivers, not by the demo. In the FDE Practice this role covers both value engineering and quality engineering. The value engineering emphasis is implementation and user value. The quality engineering emphasis is evaluation, reliability, release safeguards and production readiness. You may lean one way or the other depending on the engagement. You will use coding agents where they increase speed, but you stay responsible for direction, review and control. You supervise agent output, inspect assumptions, write or refine code and hold the line on enterprise delivery standards., What you will do * Build agentic AI solutions: single and multi-agent systems, tool use, retrieval pipelines, automation and prototypes that reach production. * Build on the major agentic stacks, including the Claude Agent SDK, OpenAI Agents SDK, Google Agent Development Kit, Microsoft Agent Framework and vendor neutral frameworks such as LangGraph, choosing the right one for the customer's needs. * Work with customer technical teams to understand systems, constraints, data, deployment paths and operating needs. * Use coding agents and human engineering judgement to move quickly while preserving review, test and release discipline. * Integrate agents with enterprise systems, APIs, cloud services, databases, ticketing systems, model services and security controls, often through MCP and similar tooling. * Implement agent evaluations, automated tests, observability hooks, runbooks and release safeguards. * Troubleshoot implementation, deployment, data, model and integration issues. * Codify what works into reusable patterns, starter kits and playbooks, alongside technical decisions, defects, risks and lessons learned, to raise the floor for the wider practice. * Feed field insight back to the platform vendors through our partnerships, turning recurring friction and gaps into product feedback that shapes the tools you build on. * Support handover and production readiness with clear documentation and operational ownership. * Work with architects and delivery managers to keep implementation aligned to value and technical guardrails. ## Related Videos - [Building a Multi-Agent Orchestration Engine That Actually Follows the Rules](https://www.wearedevelopers.com/videos/100159-building-a-multi-agent-orchestration-engine-that-actually-follows-the-rules) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Do TypeScript without TypeScript](https://www.wearedevelopers.com/videos/327-do-typescript-without-typescript) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)