Ai Engineer - Remote Eligible

AI Product Strategy Leader

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.