Forward Deployed AI Engineer

Fruition Group; Leeds; Hybrid; GBP 85,000 - 100,000; Full time

Benefits offered by this job

Hybrid working model

Professional development

Remote work flexibility

Job summary

The Fruition Group, based in Leeds, is seeking a Deployed AI Engineer to help deliver real-world AI solutions for clients. You will own AI-driven projects from prototype to MVP, working on RAG, AI agents, and MCP within client environments and the company's internal AI platform.

Join a growing AI-native engineering capability with hybrid working options, high autonomy, and opportunities to build reusable accelerators while upskilling client teams on emerging AI technologies.

Qualifications

• Strong fundamentals in clean code, testing, and production systems.
• Proficient in Python and TypeScript with backend/data engineering experience.
• Experience delivering production LLM/AI applications to clients.

Responsibilities

• Build AI solutions using RAG, AI agents, LLM integrations and MCP.
• Take solutions from prototype to production, ensuring security, scalability, guardrails and observability.
• Develop AI evaluation/testing frameworks to measure accuracy and reliability.
• Work with complex client data, integrations and enterprise environments.
• Demo progress to clients and iterate based on feedback.
• Develop and evolve the internal AI platform and reusable accelerators.
• Upskill client engineering teams and stay updated on AI tech trends.

Skills

Software engineering fundamentals

Python

TypeScript

Full-stack

LLM/AI applications

RAG & AI agents

Prompt engineering

Tool orchestration

Enterprise security

Client-facing

Tools

CI/CD

Job description

Permanent | Hybrid Leeds | AI Engineering + Forward-Deployed Engineering | Salary up to £100,000

The Opportunity

A growing technology consultancy is building an AI-native engineering capability and is looking for a Deployed AI Engineer to help deliver real-world AI solutions for clients.

The role combines AI Engineering, Software Engineering and Forward- Deployed Engineering, with ownership across discovery, architecture, build and production.

Working in a small delivery pod, the engineer will build directly with client data and within their environments, taking ideas from prototype to MVP in weeks. Between engagements, they'll help evolve the company's internal AI platform and turn successful approaches into reusable tools and accelerators.

What you'll be working on:

• Building AI solutions using RAG, AI agents, LLM integrations and MCP
• Taking solutions from prototype through to production, including security, scalability, guardrails and observability
• Building AI evaluation and testing frameworks to measure accuracy and reliability
• Working with complex client data, integrations and enterprise environments
• Working directly with clients, demoing progress and iterating quickly based on feedback
• Developing the internal AI platform and reusable engineering accelerators
• Helping upskill client engineering teams and staying on top of emerging AI technologies

What they're looking for:

• Strong software engineering fundamentals across clean code, testing, CI/CD and production systems
• Strong programming skills in Python, TypeScript or similar, with experience across multiple modern languages
• Full-stack capability, including back-end and data engineering
• Proven experience building and shipping production LLM/AI applications
• Hands-on experience with RAG, AI agents, prompt engineering, tool orchestration and MCP
• Experience with AI evaluation, testing, datasets and guardrails
• Client-facing experience and an understanding of enterprise security, compliance and legacy environments
• High autonomy, strong communication skills and a commercial, outcome-focused mindset

Nice to have:

• Vector databases, embeddings or fine-tuning
• AWS or Google Cloud
• Startup or founder experience
• Open-source contributions or AI side projects

What's in it for me:

• Base salary up to £100,000
• Hybrid working model with remote flexibility
• Professional development and funded learning
• Opportunity to work on modern, AI-enabled systems at scale
• Clear progression within a growing engineering function

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.