Artificial Intelligence Engineer

developrec; United Kingdom; Remote; GBP 70,000; Full time

Job summary

Join a fast-growing company at the forefront of engineering innovation and AI automation as an AI Engineer. In this exciting role, you will lead the design and deployment of intelligent agentic systems that enhance modern software development. Your expertise in frameworks like LangChain and LlamaIndex will be crucial as you develop tools that streamline workflows and boost productivity. Collaborate with cross-functional teams to embed AI capabilities into CI/CD pipelines and drive rapid prototyping efforts. If you're passionate about AI and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Proven experience building agent workflows using frameworks like LangChain.
• Solid understanding of large language models and prompt engineering.
• Strong programming skills in Python and TypeScript.

Responsibilities

• Design and implement intelligent, multi-step agents using frameworks.
• Develop AI-powered assistants and developer tools for scalability.
• Build and optimize generative AI features using platforms.

Skills

LangChain

LangGraph

LlamaIndex

Python

TypeScript

AI/ML

Cloud Platforms (AWS, Azure, GCP)

Tools

OpenAI

Claude

Gemini

Job description

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

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