Ai Platform Engineer

Peak3
Cantabria, Spain
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Cloud Engineering Distributed Systems Python (Programming Language) PostgreSQL Next.js Secure Coding Datadog Data Logging ReactJS Large Language Models Multi-Agent Systems
+6 more
Caching Backend AI Platforms Kubernetes Machine Learning Operations Serverless Computing

Job description

About Peak3 Peak3 is an award-winning vertical Saa S provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity.Together with our clients, we create a more resilient and innovative future.We combine insurance core, distribution, and AI solutions to deliver a step change in performance for insurers, MGAs, and insurance intermediaries.From greenfield embedded insurance ventures to multi-country core modernization programs, our Saa S solutions power top customers across life, health, and P&C insurance.Our 500+ colleagues are based across over 15 countries in Europe, Asia and the Middle East - with an ambitious roadmap to scale further.About the Role As an AI Platform Engineer on the AI Platform team, you’ll build and operate the infrastructure that keeps our agentic AI systems fast, reliable, and cost-effective in production.Working closely with our Principal AI Full-Stack Engineer, you’ll take architectural direction and turn it into solid, well-monitored infrastructure - vector databases, model gateways, inference pipelines - that the rest of the team builds on.Responsibilities Build and maintain core AI infrastructure: vector databases, semantic retrieval, model gateways, and inference pipelines.Implement inference optimization and caching to keep latency and cost within target.Set up and maintain observability for LLM systems - logging, tracing, evals monitoring, cost tracking.Support production incidents and on-call for AI systems, including runbooks and postmortems.Work with the Principal AI Full-Stack Engineer to implement architecture decisions and contribute to full-stack features when needed.Experience & Qualifications Solid experience in Python or Type Script, with working knowledge of backend infrastructure and cloud-native deployment (K8s or serverless).Hands-on experience with vector databases, embedding models, and model deployment/serving patterns.Some experience with LLM inference optimization, caching, and observability tooling.Familiarity with RAG pipelines, function/tool calling, or agent frameworks (Lang Graph, Llama Index, or similar) - deep expertise not required, willingness to grow into it is.Comfortable operating in production environments and taking ownership of reliability and performance.High agency and a builder mindset - willing to dig into infra problems without waiting for complete specs.Nice to Have Experience with secure code execution sandboxes (g Visor, Firecracker, WASM) or long-running workflow orchestration.Exposure to model routing across providers or agent memory/state architectures.Interest in distributed systems, cost governance, or Fin Ops for AI workloads.Finance or insurance domain experience (not required - engineering fundamentals and learning velocity matter more).Our stack: Python, Type Script, React/Next.Js, Postgres, Kubernetes, and various vector databases and LLM providers.Prior experience with every part isn’t required - strong fundamentals and fast learning matter more.

Requirements

Experience & Qualifications Solid experience in Python or Type Script, with working knowledge of backend infrastructure and cloud-native deployment (K8s or serverless). Hands-on experience with vector databases, embedding models, and model deployment/serving patterns. Some experience with LLM inference optimization, caching, and observability tooling. Familiarity with RAG pipelines, function/tool calling, or agent frameworks (Lang Graph, Llama Index, or similar) - deep expertise not required, willingness to grow into it is. Comfortable operating in production environments and taking ownership of reliability and performance. High agency and a builder mindset - willing to dig into infra problems without waiting for complete specs. Nice to Have Experience with secure code execution sandboxes (g Visor, Firecracker, WASM) or long-running workflow orchestration. Exposure to model routing across providers or agent memory/state architectures. Interest in distributed systems, cost governance, or Fin Ops for AI workloads. Finance or insurance domain experience (not required - engineering fundamentals and learning velocity matter more). Our stack: Python, Type Script, React/Next.Js, Postgres, Kubernetes, and various vector databases and LLM providers. Prior experience with every part isn’t required - strong fundamentals and fast learning matter more.

About the company

About Peak3 Peak3 is an award-winning vertical Saa S provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity. Together with our clients, we create a more resilient and innovative future. We combine insurance core, distribution, and AI solutions to deliver a step change in performance for insurers, MGAs, and insurance intermediaries. From greenfield embedded insurance ventures to multi-country core modernization programs, our Saa S solutions power top customers across life, health, and P&C insurance. Our 500+ colleagues are based across over 15 countries in Europe, Asia and the Middle East - with an ambitious roadmap to scale further.

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