Forward Deployed AI Engineer

Fruition Group; Ouzlewell Green; Hybrid; GBP 90,000 - 110,000; Full time

Benefits offered by this job

Private healthcare

Hybrid working model

Remote flexibility

Professional development funding

Modern AI systems at scale

Job summary

Fruition Group is seeking a Forward Deployed AI Engineer to join our hybrid Leeds-based delivery team on permanent basis. You will own end-to-end AI deployments, from discovery and architecture to production, working directly with client data in enterprise environments.

You’ll combine AI engineering with forward-deployed delivery, building scalable AI solutions, tools, and accelerators while helping upskill client teams and advancing internal platforms.

Qualifications

• Experience shipping production LLM/AI applications.
• Proven experience with RAG, AI agents, prompt engineering.
• Understanding of enterprise security, compliance and legacy environments.
• Strong communication and client-facing skills.
• Autonomy and an outcome-focused mindset.

Responsibilities

• Build AI solutions using RAG, AI agents, LLM integrations and MCP.
• Deploy from prototype to production with security, scalability, guardrails and observability.
• Develop internal AI platform and reusable accelerators.
• Upskill client engineering teams and stay updated on emerging AI technologies.
• Demonstrate progress to clients and iterate quickly based on feedback.

Skills

Software engineering fundamentals

Python

TypeScript

Full-stack

LLM/AI production

RAG & AI agents

Client-facing

Autonomy

Tools

CI/CD

AWS

Google Cloud

Job description

Forward Deployed AI Engineer

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


• Private healthcare


• 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.