AI Engineer

Wintermeyer Ventures; Greater London; Hybrid; GBP 150,000 - 200,000; Full time

Job summary

Wintermeyer Ventures seeks an experienced software engineer to design, build, and deploy production-grade AI applications using LLMs. You will work with enterprise stakeholders, shape architecture decisions, and create scalable systems with a focus on reliability and cost efficiency.

The role includes developing internal tooling, evaluating models and retrieval methods, and ensuring robust deployment practices with strong emphasis on security and observability.

Qualifications

• Five to fifteen years of software engineering experience including production AI/LLM deployments.
• Strong Python and backend engineering skills with production-grade code.
• Experience designing AI system architectures and evaluating trade-offs across models, retrieval, agents, and evaluation methods.
• Client-facing experience scoping and delivering technical solutions with senior stakeholders.

Responsibilities

• Design, build, and deploy AI applications using LLMs and agent workflows.
• Partner with enterprise stakeholders to understand complex needs and deliver practical technical solutions.
• Design scalable system architectures balancing performance, reliability, cost, and maintainability.
• Develop reusable infrastructure, tools, and workflows for an internal LLM application platform.
• Create evaluation frameworks to assess accuracy, latency, cost, reliability, and safety.
• Improve observability, security, deployment practices, and engineering workflows for production systems.

Skills

Python

Backend engineering

Production AI systems

Architecture design

Client-facing

Stakeholder engagement

Education

Bachelor's degree in computer science/engineering

Job description

About the Role

Join an applied AI team building and deploying production-grade LLM systems for enterprise customers. You will work directly with stakeholders to turn complex workflows into reliable AI applications, from early architecture through production deployment.

What You'll Do

• Design, build, and deploy AI applications using LLMs, including agent workflows, tool use, and full-stack products.
• Partner with enterprise stakeholders to understand complex needs and deliver practical technical solutions.
• Design scalable system architectures, balancing performance, reliability, cost, and maintainability.
• Develop reusable infrastructure, tools, and workflows for an internal LLM application platform.
• Create evaluation frameworks to assess accuracy, latency, cost, reliability, and safety.
• Improve observability, security, deployment practices, and engineering workflows for production systems.

What We're Looking For

• Five to fifteen years of software engineering experience, including building and deploying production AI or LLM systems.
• Strong Python and backend engineering skills, with experience writing clean, production-grade code.
• Experience designing AI system architectures and evaluating trade-offs across models, retrieval, agents, and evaluation approaches.
• Client-facing experience scoping and delivering technical solutions with senior stakeholders.
• A bachelor's degree in computer science, engineering, or a related technical field.
• Experience building products for external users and a sustained engineering role of at least two years.
• Willingness to travel up to 50%, primarily to France.
• Must already be authorized to work in the United Kingdom; visa sponsorship is not available.

Compensation & Benefits

Base salary: £150,000 to £200,000 annually.

Location

Hybrid, London, England, United Kingdom.