Job Specifications
Applied AI Engineer
Famous Founders
The AI start-up that WILL succeed - the equity you WILL realise
London (5 days per week, in-office)
£100k–£200k base (level-dependent)
$160k vested over 4 years (annual vesting)
Catered breakfasts & dinners, gym membership, private healthcare
This Is Not a Lifestyle Role. It is a career-defining one.
This role sits inside a fast-growing, AI-native company building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a major Series A, and is now focused on building a small, elite engineering team to own the core AI infrastructure end-to-end .
The Environment
12 hours a day, 5 days a week, in the office
Exceptional, high-performing teams
Engineers work directly with founders daily
No layers, no slow approvals, no hand-offs
The intensity is deliberate. The aim is compression:
Faster learning curves
Faster iteration cycles
Faster ownership and decision-making
If you want flexibility, this isn’t the role.
If you want to become exceptional very quickly, it might be the best move of your career.
What You’ll Actually Be Building
You will own and drive large portions of the AI agent infrastructure, from design through to production deployment .
This includes:
Designing and deploying multi-agent systems
Building and integrating RAG pipelines
Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety
Shipping AI-powered features used by real enterprise customers
Building backend services and APIs (Python, Django / FastAPI preferred)
Working across the stack — APIs, databases, infrastructure, and deployment pipelines
Ensuring systems are scalable, performant, and secure in production
You’ll also:
Build data pipelines for model training and continuous improvement
Work with cloud infrastructure, containers, and CI/CD
Collaborate directly with founders, designers, and growth teams
Mentor junior engineers and raise the technical bar across the team
You will not be:
Tuning prompts endlessly
Producing throwaway PoCs
Working on slideware or “AI demos”
Who This Is For
You’ll likely have:
Foundational software engineering experience
Hands-on experience designing and deploying AI systems into production, end-to-end
Strong backend engineering skills (Python)
Experience with relational databases, Redis, task queues, and background workers
Familiarity with Docker, Kubernetes, and modern cloud infrastructure
Experience with RAG, agent orchestration, and LLM evaluation techniques
A high tolerance for ambiguity and shifting priorities
Comfort with discomfort is essential. Timelines will move. Priorities will change. That’s part of building something real .
Why Exceptional People Say Yes
Top engineers don’t optimise for comfort — they optimise for trajectory.
People choose environments like this because:
Talent density permanently raises their bar
Founder access is direct and unfiltered
One year of learning feels like several elsewhere
The experience compounds long after they leave
The Bottom Line
This role is not for everyone — and it’s not meant to be.
But if someone wants to:
Build real agentic AI systems used at scale
Own critical infrastructure, not just features
Learn directly from founders who’ve built and exited before
Trade short-term intensity for long-term career acceleration
Then this is one of the most compelling Applied AI Engineering opportunities in Europe right now.
A team of 7 engineers is being hired rapidly.
If this reads as intimidating and exciting — that’s usually the right signal.
About the Company
Welcome to Omnis Partners.
We are a digital technology recruitment business, focussed on Data, Product and AI talent solutions.
Our mission is to support the growth and development of businesses, whose products and solutions are shaping the future of technology, commerce and industry.
We are a collective of passionate and highly experienced recruiters, working collaboratively, to ensure our clients have access to the talent and resources to meet their strategic aims.
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