Artificial Intelligence Engineer

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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 life cycles.

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 Lang Chain and Llama Index, 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 Lang Chain, Lang Graph, and Llama Index 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 Lang Chain, Lang Graph, 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 Type Script (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
  
  Mid-Senior level

• Employment type
  
  Full-time

• Job function
  
  Information Technology
• Industries Software Development and IT System Custom Software Development

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