Artificial Intelligence Engineer
Senior AI Engineer
🚀 Be part of one of the UK’s fastest-growing fintech scale-ups 🚀
📍 London (Hybrid)
💸 Up to £125k + Benefits
Omnis Partners is engaged with a fast-growing fintech shaping the future of digital financial services. As the business grows, they’re investing in a next-generation, self-serve data and AI platform designed to handle high-volume, real-time workloads.
This role sits at the heart of that transformation.
The vision? Build an intelligent, developer-first platform that enables teams across product, engineering, and analytics to seamlessly access and operationalise data while laying the groundwork for AI-native and agent-driven systems.
Why this role stands out:
🌍 Core infrastructure impact: Support real-time payment processing and business-critical analytics at scale.
⚙️ Cloud-native & event-driven: Work across Kubernetes, AWS/GCP, streaming architectures, and distributed systems.
🧠 AI-integrated platform: Help shape infrastructure designed for LLM-powered workflows, ML services, and autonomous agents.
🏗 End-to-end ownership: Build reusable services, internal tooling, and scalable backend components.
🤝 Cross-functional influence: Collaborate closely with product, data, and engineering stakeholders to define data contracts and platform standards.
What you’ll be doing:
• Architect and develop high-performance backend services (Java, Go, or Python).
• Build and optimise real-time data streaming and event-based systems.
• Create internal developer tooling to improve reliability, observability, and self-serve capability.
• Operate and scale multi-cloud infrastructure using Kubernetes and IaC tooling.
• Explore and implement emerging AI/ML technologies where they add real business value.
Ideal background:
We’re looking for engineers who combine strong systems thinking with modern AI exposure. Experience in areas such as:
• Backend engineering in Go, Java, or Python.
• Kubernetes, Docker, Terraform, CI/CD pipelines.
• Event-driven design, distributed systems, and cloud-native architecture.
• Observability tooling (e.g., OpenTelemetry, Prometheus, Grafana).
• Exposure to LLM frameworks (e.g., LangChain), AI agents, or ML infrastructure.
• Strong communication skills with the ability to influence both technical and non-technical stakeholders.
AWS or multi-cloud certifications are highly advantageous, particularly across security, ML, or solutions architecture domains.
Why join?
• Join a scaling fintech transforming the European financial ecosystem.
• Play a defining role in shaping AI-ready platform infrastructure.
• High autonomy and real architectural influence.
• Solve genuinely complex, real-time engineering challenges.
• Collaborative, office-led culture focused on innovation and technical excellence.