Full-Stack Engineering Manager

Peak3 is an award-winning vertical SaaS provider, enabling more relevant, convenient, and affordable insurance protection for everyone through our technology and ingenuity.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 SaaS solutions power top customers across life, health, and P&C insurance.As a Principal AI Full-Stack Engineer on the AI Platform team, you’ll own the design, build, and operation of the agentic AI systems powering our core insurance products - architecting LLM inference chains, building production AI infrastructure, shipping full-stack features from model to UI, and setting technical direction for the team.Design and optimize LLM inference chains: prompt engineering, structured outputs, fine-tuning (LoRA/PEFT), evals, and observability.Stand up production-grade AI infrastructure: vector databases, semantic retrieval, model gateways, inference acceleration, and cost governance.Own full-stack delivery - frontend (React/Next.js), backend (Python/TypeScript), cloud-native deployment (K8s/Serverless) - taking demos to policy volumes in the millions.Proven track record shipping and operating production software at scale, ideally including an LLM/AI system taken from prototype to production.Fluent in Python or TypeScript and a modern frontend framework, with genuine comfort spanning backend, frontend, infrastructure, data, and model code.Hands-on LLM engineering depth: Solid AI infrastructure grounding - vector databases, embedding models, model deployment/serving, inference optimization, distributed systems - with the operational discipline for regulated environments.External technical signals - open-source contributions, technical writing, conference talks.Interest in multimodal AI, long-context engineering, applied AI safety/alignment, or RLHF.Finance or insurance domain experience (engineering ability and learning velocity matter more).Python, TypeScript, React/Next.js, Postgres, Kubernetes, and various vector databases and LLM providers.

Proven track record shipping and operating production software at scale, ideally including an LLM/AI system taken from prototype to production. Fluent in Python or TypeScript and a modern frontend framework, with genuine comfort spanning backend, frontend, infrastructure, data, and model code. Hands-on LLM engineering depth: Solid AI infrastructure grounding - vector databases, embedding models, model deployment/serving, inference optimization, distributed systems - with the operational discipline for regulated environments. External technical signals - open-source contributions, technical writing, conference talks. Interest in multimodal AI, long-context engineering, applied AI safety/alignment, or RLHF. Finance or insurance domain experience (engineering ability and learning velocity matter more). Python, TypeScript, React/Next.js, Postgres, Kubernetes, and various vector databases and LLM providers.