is a whole-of-health digital partner that guides organisations and their people to thrive delivering clinically backed digital health mental health and wellbeing solutions.
Our HealthTech delivers digital transformation for Insurers Educators and Employers through Co-creation or seamlessly integrated out-of-the-box solutions that decrease digital fragmentation and engage empower and transform their peoples lives.
Established in 2018 by Stuart McGoldrick and Stephen Costello provides services internationally to over 7.2m insurance members 3000 corporate clients 60 universities and 650000 university students. currently employs over 350 people.
Our vision is to change and save as many lives as possible.
Role Brief:
We areseekinga motivated and talentedFull-Stack Engineer with a strong background in AI and backend systemsto help architect and build the foundations of our AI 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.
Responsibilities:
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 usingAWS Lambdaand the wider AWS ecosystem.
Design build andmaintainthe scaffolding for invoking Large Language Models (LLMs) via services likeAWS Bedrock.
Compare and evaluate different LLMs todeterminethe best fit for our use casesestablishingclear 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 andmaintainhigh standardsfor code quality scalability and maintainability
Requirements:
Proven experience as aFull-Stack Engineer with a strong portfolio of backend-focused or AI-driven projects.
ExpertproficiencyinTypeScriptand 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 theAWS ecosystem. This includes core serverless services (Lambda API Gateway S3EventBridge) databases (RDS DynamoDB) security (IAM) and infrastructure as code tools (AWS CDK CloudFormation or Terraform).
Strong experience indatabase design and management withproficiencyin both relational (e.g. PostgreSQL) and NoSQL databases. You should be comfortable with schema design query optimization and datamodeling.
A solid understanding ofGenerative AIconcepts and practical experience working withLLMs.
Comfortable with the principles of LLM design including prompt engineering and an understanding ofmodel evaluation techniques.
A solid understanding of the full software development lifecycle including testing monitoring and deployment.
Plus:Experience with AWS Bedrock or similar LLM platforms.
Plus:Familiarity with LLM evaluation tools likeLangfuse.
What are the benefits of working at
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
Extensive list of employee perks and benefits profile
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