Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Artificial Intelligence Engineer

developrec
London
2 months ago
Applications closed

Related Jobs

View all jobs

Founding AI Engineer

Artificial Intelligence

Senior Computer Vision Engineer

Machine Learning Engineer – Insurance

CAIO (Chief Artificial Intelligence Officer)

Policy and Campaigns Officer, Technology and Artificial Intelligence

This range is provided by developrec. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range

Direct message the job poster from developrec
Head of Global Delivery Centre | Tech Recruitment Partner @ developrec

AI Engineer – Agentic Systems & Automation – £70,000 – Fully remote in UK
A fast-growing company at the forefront of engineering innovation and AI automation is seeking an experienced AI Engineer to help develop intelligent, scalable agentic systems integrated into modern software development lifecycles.
This role involves leading the design and deployment of LLM-powered agents, developer tools, and automation frameworks that streamline workflows and elevate productivity.
This is a hands-on engineering role that blends software development, AI experimentation, and product innovation.
The successful candidate will play a key role in architecting agent-based systems, leveraging advanced frameworks such as LangChain and LlamaIndex, and deploying real-time AI capabilities that integrate deeply with SDLC processes.
Key Responsibilities
LLM Agent Development: Design and implement intelligent, multi-step agents using frameworks like LangChain, LangGraph, and LlamaIndex to enhance developer workflows.
Tooling & Assistant Innovation: Develop AI-powered assistants and developer tools with an emphasis on scalability, performance, and reliability.
AI Engineering: Build, test, and optimize generative AI features using platforms such as OpenAI, Claude, and Gemini, including fine-tuned custom models and evaluation pipelines.
Prompt Engineering: Design, iterate, and test prompt strategies to improve model accuracy, robustness, and responsiveness across various LLM backends.
Cross-Functional Collaboration: Work closely with engineering, product, and QA teams to embed agent-led automation within CI/CD pipelines and developer environments.
Prototyping & R&D: Drive rapid prototyping efforts and validate new ideas through real-world experimentation and user feedback.
Responsible AI: Promote ethical and secure AI practices, proactively addressing issues like prompt injection, data leakage, and model drift.
AI Advocacy: Lead internal workshops, demos, and documentation initiatives to promote AI capabilities across teams and client projects.
Ideal Candidate Profile
Agentic Experience: Proven experience building agent workflows using frameworks such as LangChain, LangGraph, or equivalent.
AI/ML Expertise: Solid understanding of large language models (LLMs), embeddings, vector search, and prompt engineering.
Software Engineering Skills: Strong programming skills in Python (AI pipelines) and TypeScript (full-stack integration). Capable of writing production-grade code.
Product Mindset: Ability to understand user needs and translate them into impactful AI features and experiences.
Cloud & Data Knowledge: Experience working with cloud platforms (AWS, Azure, or GCP).
Model Deployment: Familiarity with evaluating, fine-tuning, and deploying LLMs in production environments, including performance monitoring and optimization.
Collaboration & Agility: Comfortable working in fast-paced, cross-functional teams.
Experimental Approach: A passion for rapid iteration, learning from experiments, and data-driven development.
Preferred Qualifications
Experience designing RAG (Retrieval-Augmented Generation) or CAG systems using vector databases and hybrid retrieval techniques.
Knowledge of LLM security challenges, including prompt injection and adversarial attacks.
Familiarity with prompt evaluation frameworks and metrics such as truthfulness, helpfulness, and toxicity.
Hands-on experience with developer-focused AI tools (e.g., Copilot, Cursor), including a deep understanding of their architecture and scalability.
Seniority level

Seniority level Mid-Senior level
Employment type

Employment type Full-time
Job function

Job function Information Technology
Industries Software Development and IT System Custom Software Development
Referrals increase your chances of interviewing at developrec by 2x
Get notified about new Artificial Intelligence Engineer jobs in

United Kingdom .
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 4 days ago
London, England, United Kingdom 2 weeks ago
Intern, AI Research Scientist / Engineer

London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 2 weeks ago
Manchester, England, United Kingdom 1 day ago
London, England, United Kingdom 8 months ago
London, England, United Kingdom 3 weeks ago
London, England, United Kingdom 3 months ago
Software Engineer (Python) - Data Platform

London, England, United Kingdom 10 months ago
London, England, United Kingdom 2 weeks ago
AI Developer (LLM Specialist), Retrain and Fine-Tume LLMs On Our Datasets

London, England, United Kingdom 10 months ago
London, England, United Kingdom 1 month ago
London, England, United Kingdom 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

Careers Education

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Jobs

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.