London
Full-time
Not specified
Mid-Senior level
Salary
£110,000.00
Sponsorship
15% more than your current base salary
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Job Description

Senior AI Engineer🚀 Be part of one of the UK’s fastest-growing fintech scale-ups 🚀📍 London (Hybrid)💸 Up to £125k + BenefitsOmnis 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.

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