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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # [Job-30309] Ai Engineer, UK - **Company:** CI&T - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Data Integration, Data Security, Graph Database, Python (Programming Language), Performance Tuning, Systems Integration, Cloud Platform System, ReactJS, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Build Management, Kubernetes, Information Technology, Machine Learning Operations, Virtual Agents - **Published:** July 5, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=ce551956e8d4a8f5 ## About the Role * Bachelor's Degree in Computer Science, Engineering, Applied Math, or related fields * Strong programming background in Python (or similar) with experience in GenAI frameworks and APIs * Daily use of Generative AI IDEs or environments * Proven experience in Prompt Engineering, Context Engineering, AI Steering, RAG, MCP (Model Context Protocol) and building agent workflows * Solid experience with LLMOps, structured Evals, and LLM observability/tracing tools * Proven knowledge of GenAI Security practices (guardrails, prompt injection mitigation) and secure data integration * Solid understanding of A2A (Agent to Agent) and ACP (Agent Coordination Protocol) * Experience in deploying AI-powered solutions across the product development lifecycle, from design to monitoring * Understanding of how to integrate short and long-term memory in agents * Strong communication skills in English, both technical and business-oriented * Exposure to cloud native environments * Ability to work independently and collaboratively in fast-paced environments Desired qualifications: * Knowledge of reasoning strategies (Chain of Thought, ReAct) * Experience with Agentic AI frameworks, autonomous agents and Multi-Agent Orchestration frameworks (e.g., LangGraph, CrewAI) * Hands-on experience with LLM optimisation, Fine-Tuning techniques, and production inference deployment * Experience developing custom MCP (Model Context Protocol) servers to connect agents with external tools and data * Experience designing and applying evals to validate LLM outputs * Experience with Knowledge Graphs, or hybrid RAG approaches * Experience monitoring AI systems for performance, accuracy, and cost ## Description * Translate product and engineering challenges into AI-driven solutions that enhance speed, quality, and outcomes * Build and deploy AI Agents with advanced reasoning, integrating memory, MCP, custom MCP servers, and A2A * Apply prompt engineering, context engineering, AI steering, RAG, Chain of Thought, ReAct, and other modern AI frameworks to real-world use cases * Partner with product and engineering teams to embed AI, LLMOps, and observability into requirements, coding, testing, monitoring, and operations * Prototype, test, optimise, fine-tune, and scale AI solutions, balancing experimentation with production readiness and inference deployment * Design, run, and automate evals to test LLM outputs for quality, reliability, and safety * Implement security guardrails and robust data integration across agentic workflows to mitigate vulnerabilities * Support pre-sales and client discussions by demonstrating applied AI use cases and outcomes * Stay ahead of research and practice in GenAI and bring them into daily engineering practice * Communicate findings and trade-offs clearly to both technical teams and executives ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Beyond Chatbots: How to build Agentic AI systems](https://www.wearedevelopers.com/videos/1629-beyond-chatbots-how-to-build-agentic-ai-systems) - [The shadows that follow the AI generative models](https://www.wearedevelopers.com/videos/624-the-shadows-that-follow-the-ai-generative-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer)