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We are seeking a motivated and talented Full-Stack Engineer with a strong background in AI and backend systems to help architect and build the foundations of our AI Roadmap. In this role, you will have a unique opportunity to lead the technical design of critical AI-driven products that are set to provide a significant competitive advantage, positioning us as the gold standard in the AI mental health sector. You will join a dynamic team and take ownership of the core AI components that power our data ecosystem. If you are passionate about building robust AI-driven systems from the ground up, enjoy working across the technology stack, and are excited by the challenge of designing and implementing cutting-edge LLM solutions, this is the perfect role for you.
Job Responsibility:
Architectural Ownership & Design: Lead the technical design and architectural decisions for our core AI product. You will take ownership of the entire LLM lifecycle, from model selection and evaluation to deployment and monitoring, ensuring a clear and scalable design
LLM & Backend Engineering: Develop clean, secure, and performant serverless backend services using AWS Lambda and the wider AWS ecosystem
Design, build, and maintain the scaffolding for invoking Large Language Models (LLMs) via services like AWS Bedrock
Compare and evaluate different LLMs to determine the best fit for our use cases, establishing clear metrics and evaluation frameworks
Implement and manage robust data processing and storage solutions to support our AI features
Infrastructure & Best Practices: Design and deploy cloud infrastructure using modern best practices (e.g., Infrastructure as Code)
Implement comprehensive testing, robust exception handling, and application monitoring to ensure the high availability and reliability of our AI services
Take charge of your local development environment and see features through to production, collaborating with the wider team to ensure seamless product integration
Champion and maintain high standards for code quality, scalability, and maintainability
Requirements:
Proven experience as a Full-Stack Engineer, with a strong portfolio of backend-focused or AI-driven projects
Expert proficiency in TypeScript and Node.js, with a deep understanding of modern JavaScript (ES6+), asynchronous programming patterns, and building scalable backend APIs and services
Extensive, hands-on experience architecting and building solutions on the AWS ecosystem. This includes core serverless services (Lambda, API Gateway, S3, EventBridge), databases (RDS, DynamoDB), security (IAM), and infrastructure as code tools (AWS CDK, CloudFormation, or Terraform)
Strong experience in database design and management, with proficiency in both relational (e.g., PostgreSQL) and NoSQL databases. You should be comfortable with schema design, query optimization, and data modeling
A solid understanding of Generative AI concepts and practical experience working with LLMs
Comfortable with the principles of LLM design, including prompt engineering and an understanding of model evaluation techniques
A solid understanding of the full software development lifecycle, including testing, monitoring, and deployment
Nice to have:
Experience with AWS Bedrock or similar LLM platforms
Familiarity with LLM evaluation tools like Langfuse
What we offer:
Full time permanent contract
Competitive salary (Dependent on experience)
In-office, remote or hybrid working options
25 days annual leave
24/7 EAP and a wide range of health and wellbeing supports
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