Wave Group
AI Platform Engineer
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Job Title: AI Platform Engineer
💰 Salary: up to £115k (+ very generous early-stage equity, up to ~£90k)
📍 Location: Central London, EC1 (3 office day/week)
🏦 Company: B2B FinTech / Fraud Prevention
👥 Employees: ~30
💸 Funding: $15m+ (Series A)
This London startup is building a new intelligence layer designed to bring more context and security to digital payments. Their technology analyses transactions in real time, gathering signals from multiple sources to determine whether a payment is legitimate or potentially fraudulent.
The platform combines distributed data systems, real-time investigations, and AI-driven decisioning to help financial institutions detect scams while allowing legitimate payments to flow without unnecessary friction. Within 2 years of being founded, they're working with most Tier 1 banks and payment providers in the UK - and are about to launch in the US! 🚀
Hiring an AI Platform Engineer to help build the foundations that let a fast-moving engineering team ship safely to some of the country's largest financial institutions. Production is increasingly powered by non-deterministic AI agents, so this isn't a "keep the lights on" role - you'll be defining what good looks like for platform and infrastructure culture, not inheriting someone else's playbook.
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Key Responsibilities:
- Owning the reliability and operability of production systems - monitoring, alerting, incident response, and post-incident learning
- Maintaining and evolving the infrastructure-as-code estate, making it easy to ship safely and hard to ship dangerously
- Securing infrastructure defaults so the easy path is the safe path
- Designing observability across the stack - metrics, traces, logs, dashboards, and alerts - including for AI agent behavior, where "correct" isn't always the same twice
- Driving incident response maturity from detection through resolution to follow-up
- Building platform capabilities that unblock engineering teams - deployment pipelines, release tooling, developer experience
- Building the guardrails and automation (including AI-assisted triage and response) that let the wider team move fast without breaking things
- Supporting the platform's evolution from stability through to scalability as the company grows
Must Have Requirements:
- At least 3-4 years in platform/DevOps/SRE, ideally with genuine ownership at an early-stage startup - comfortable with ambiguity
- Strong Terraform/IaC experience on real production infrastructure; GCP a strong plus
- Proven observability track record - monitoring, alerting, and dashboards for distributed systems
- Incident response experience - on-call, running incidents, and building the processes that make both better
- Security foundations - least-privilege access, secrets management, secure-by-default infrastructure
- CI/CD experience - deployment pipelines teams trust, with a focus on deploy velocity and rollback safety
- Genuine hands-on exposure to agentic AI frameworks (LangChain, LangGraph, or similar) within the last ~12 months - not just conceptual awareness
- Fintech or other regulated-industry experience
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Bonus Points For:
- Experience building observability/reliability for non-deterministic or ML-powered systems specifically
- Exposure to compliance frameworks (ISO 27001, SOC 2)
- Software Engineering background - even better if you're fluent in multiple languages
- Experience with workflow orchestration engines (Temporal or similar)
- A track record of bootstrapping a platform/DevOps function from scratch
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