AI Infrastructure & Engineering Lead

About the Company

Our client is an international specialty insurer operating in the insurtech space, providing innovative insurance solutions for emerging industries, including AI, digital assets, fintech, biotech, and the space economy.

The company is investing in a private AI platform to transform underwriting processes, improve broker interactions, and automate document-heavy business operations.

The Opportunity

We are looking for an experienced AI Infrastructure & Engineering Lead to take full technical ownership of a greenfield AI initiative.

You will be responsible for bringing dedicated NVIDIA GPU infrastructure online, designing and deploying an on-premise AI platform, and building production-ready solutions using approximately 1 TB of historical insurance data and correspondence.

This is a highly hands-on position. You will initially own the technical implementation end-to-end, from infrastructure assessment and architecture to delivering a working prototype and production deployment.

As the platform evolves, you will recruit and lead a Poland-based engineering team of approximately 4–5 people.

We are looking for someone who has successfully delivered similar AI infrastructure projects and can independently take responsibility for the entire technical solution.

Your Responsibilities

• Assess the existing infrastructure and design a secure, scalable, on-premise AI environment based on dedicated NVIDIA GPU servers.

• Configure and manage GPU infrastructure, including Linux, CUDA, networking, remote access, monitoring, and security.

• Build and maintain the AI/ML infrastructure and model-serving stack using tools such as Docker, Kubernetes, vLLM, or NVIDIA Triton.

• Design data ingestion and processing pipelines for large volumes of unstructured information, including emails, PDFs, and scanned documents.

• Develop production-ready LLM applications using RAG, fine-tuning, and open-weight models such as Llama, Qwen, or Mistral.

• Deliver an initial working AI prototype using real business data and develop it into a reliable production platform.

• Build AI-powered solutions for underwriting, quote preparation, document processing, and broker communication.

• Ensure appropriate data protection, access controls, and security practices.

• Collaborate directly with international business leadership to establish priorities, evaluate technical trade-offs, and define the implementation roadmap.

• Recruit, mentor, and lead an engineering team of approximately 4–5 people in Poland.

Requirements

• 8+ years of professional software engineering experience, including at least 3 years of hands-on production ML/AI engineering.

• Proven experience delivering AI/ML infrastructure projects from initial assessment and architecture through production deployment.

• Strong practical experience with dedicated NVIDIA GPU servers and on-premise AI infrastructure, beyond cloud-only deployments.

• Hands-on expertise in LLMs, RAG architectures, open-weight models, and model fine-tuning.

• Solid knowledge of Linux, CUDA, Docker/Kubernetes, and model-serving technologies such as vLLM or NVIDIA Triton.

• Experience building data pipelines for large volumes of unstructured documents and email data.

• Strong understanding of data privacy, information security, and anonymisation practices.

• Previous experience recruiting and leading engineering teams.

• Ability to independently own technical decisions, solve complex infrastructure challenges, and communicate with business stakeholders.

• Fluent English (C1+).

• Ability to work with some overlap with Bermuda business hours, including availability until approximately 7–8 PM Polish time.

Nice to Have

• Previous experience in insurance, insurtech, fintech, or another regulated industry.

• Experience operating multi-node GPU clusters or high-performance computing environments.

• Familiarity with GDPR, ISO 27001, or SOC 2.

• Experience building AI platforms from scratch in greenfield environments.

• Willingness to travel internationally occasionally.

What We Offer

• A genuine greenfield AI initiative with dedicated GPU infrastructure and real business data.

• Full technical ownership of the architecture, infrastructure, and development roadmap.

• An opportunity to build and lead your own engineering team in Poland.

• Direct collaboration with international executive stakeholders.

• Fully remote cooperation from Poland.

• B2B compensation of $8,500–$10,000 USD/month, depending on experience.

• Potential international travel for project kick-off.

Interested in building an AI platform from the ground up and leading the team behind it? We'd love to hear from you.

Tech stack

• AI
• Machine Learning
• RAG
• NVIDIA
• Linux
• CUDA
• Docker
• Kubernetes