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For Companies At a Glance
- Tasks: Deploy and configure AI systems in enterprise environments, solving real operational challenges.
- Company: Fast-growing AI start-up with a focus on impactful technology.
- Benefits: Highly competitive salary, meaningful equity, and remote-first work culture.
- Why this job: Shape the future of AI by turning concepts into real-world applications.
- Qualifications: Strong Python skills and experience with AI/ML systems.
- Other info: Join early for rapid career growth and influence company direction.
The predicted salary is between 36000 - 60000 £ per year.
A venture-backed AI start-up is building one of the most compelling enterprise AI platforms currently emerging in Europe. The product is a full end-to-end platform that allows large enterprises to deploy AI agents quickly, securely and at scale, helping organisations turn AI ambition into real operational value.
Following strong early traction with global enterprise customers and a rapidly expanding commercial pipeline, the business is now scaling its engineering team — creating a rare opportunity to join a company at the point where the product is moving from early adoption to widespread deployment. This offers the chance to earn out significant equity value at exceptional speed as the business continues to grow.
This is a Forward Deployed Engineering role sitting at the intersection of product engineering and real-world AI deployment. You will work directly with enterprise customers to turn the platform into production-grade AI systems inside their environments, configuring agent workflows, integrating with complex data sources, and solving real operational problems. Unlike traditional consulting roles, you won’t simply deliver and walk away — the feedback and insight you generate in the field will directly shape the evolution of the core product. You will effectively operate as the bridge between the product team and the customer, ensuring that deployments move from proof-of-concept to mission-critical systems.
What You’ll Be Doing
- Deploying and configuring agent-based AI pipelines inside enterprise environments
- Building integrations with customer systems, data sources and infrastructure
- Developing custom tooling, connectors and workflows on top of the platform
- Diagnosing and resolving issues across the stack — from infrastructure and authentication through to agent orchestration
- Translating customer feedback into product improvements and new capabilities
- Working closely with the product and engineering teams to accelerate the platform’s evolution
What They’re Looking For
- Strong Python engineering experience working with production systems
- Experience building or deploying AI / ML systems in real environments
- Familiarity with RAG architectures (chunking strategies, embeddings, retrieval, reranking)
- Backend development experience (FastAPI or similar frameworks)
- Comfort working with AWS infrastructure (e.g. ECS, S3, API Gateway, Secrets Manager)
- Engineers who enjoy working directly with customers and solving ambiguous problems
- Strong communication skills and high emotional intelligence
- Experience with agentic AI systems or orchestration frameworks would be advantageous, but curiosity and the ability to move quickly in new technical domains are equally valued.
Why This Role Is Different
Most AI roles today involve building prototypes that never make it into real workflows. This role is about making AI actually work inside major organisations. You will be:
- Deploying systems that real users rely on daily
- Working directly with enterprise stakeholders solving high-impact operational problems
- Helping shape the product direction of a fast-growing AI company
- Joining early enough that your work can materially influence the company’s trajectory
For ambitious engineers, it’s the type of environment where career progression and financial upside can compress dramatically. If you’re excited by the idea of taking cutting-edge AI systems from concept to real production environments, this is one of the most interesting opportunities currently emerging in the UK AI ecosystem.
Forward Deployed Engineer in City of London employer: Omnis Partners
Contact Detail:
Omnis Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI and engineering space, especially those who work at companies you're interested in. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AI and Python. This gives potential employers a taste of what you can do beyond the application.
✨Tip Number 3
Prepare for interviews by practising common technical questions and scenarios. Think about how you'd tackle real-world problems, as this role is all about deploying AI in enterprise environments.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely excited about joining our team!
We think you need these skills to ace Forward Deployed Engineer in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your Python engineering experience and any work you've done with AI/ML systems. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled ambiguous problems in the past. We love engineers who enjoy working directly with customers and can think on their feet, so let us know how you've made a difference in previous roles.
Communicate Clearly: Strong communication skills are key for this role. When writing your application, be clear and concise. We want to see that you can articulate complex ideas simply, as you'll be bridging the gap between our product team and enterprise customers.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this exciting opportunity!
How to prepare for a job interview at Omnis Partners
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any relevant frameworks like FastAPI. Brush up on your experience with AI/ML systems and be ready to discuss specific projects where you've deployed these technologies. The more you can demonstrate your technical prowess, the better!
✨Understand the Customer's Needs
Since this role involves working directly with enterprise customers, it’s crucial to show that you can empathise with their challenges. Research common operational problems in the industry and think about how your skills can help solve them. Be prepared to share examples of how you've done this in the past.
✨Communicate Clearly and Confidently
Strong communication skills are a must for this position. Practice explaining complex technical concepts in simple terms, as you’ll need to bridge the gap between the product team and customers. Consider doing mock interviews to refine your delivery and ensure you come across as approachable and knowledgeable.
✨Show Your Curiosity and Adaptability
This role values engineers who are curious and can quickly adapt to new technical domains. Be ready to discuss how you've tackled unfamiliar challenges in the past and what steps you took to learn and grow from those experiences. Highlighting your willingness to learn will set you apart!