AI Engineer

shuttle; England; On-site; GBP 50,000 - 90,000; Full time

Job description

We believe that AI is going to change how people build and deploy software. We envision an AI-powered developer experience powering the next generation of applications in a simple, easy and enjoyable way.

This is no small task and will involve a series of difficult and cutting edge problems. We’re looking for a problem solver to drive this vision.

You’ll need to be product obsessed and care deeply about providing developers with the best possible experience. This is a rare opportunity to play a key role in a fast-growing startup and have a real impact on its direction. This is not a role for the faint-hearted.

Job Description:

1. Speaking to users and helping drive the AI product strategy for Shuttle
2. Working with the rest of the team to research, develop and design the optimal AI-powered developer experience
3. Leading prototyping, product delivery, and driving velocity while ensuring a high level of quality
4. Hands-on coding combined with being the subject matter expert for AI at Shuttle
5. Staying on top of the latest developments and providing technical leadership

Must Haves:

• 5+ years of industry experience in a software engineering role, writing maintainable application code
• Experience using GenAI models (OpenAI, Claude, Gemini, Grok)
• Led and delivered projects from inception to production. Able to provide examples of how successful deployments were measured.
• Experience with at least one Cloud provider (AWS strongly preferred) (2+ yr)
• Ability to communicate and coordinate across both technical and non-technical teams.

Bonus points:

• Experience in deploying, running and evaluating GenAI models in production environments.
• Experience building AI-powered developer tools and genuine excitement about developer productivity.
• LLM cost optimisation experience (comparing different open/closed source models and making quality, speed and cost decisions).
• Experience applying AIOps/LLMOps best practices, incl. prompt engineering.
• Experience in cloud-native architecture and a solid understanding of the underlying infrastructural primitives.
• Experience with AWS (SageMaker, Bedrock, ECS, EC2, RDS, Networking, CloudWatch).
• Experience with Infrastructure as Code (Pulumi, Terraform) and using CI/CD best practices.
• Experience as a senior member of a startup/scale-up team.
• Interest or experience in learning using Rust.