The Role
Key responsibilities
- Design, build, and evolve scalable, secure systems using Node.js and TypeScript, with a strong focus on clean, extensible APIs.
- Architect and implement features across our SaaS product, taking ideas from proof-of-concept through to production systems used by real customers.
- Implement and iterate on AI and LLM technologies, including:
- Agent-based architectures and tool-calling patterns
- Workflow orchestration for multi-step reasoning and insight generation
- Optional human-in-the-loop review and validation workflows
- Observability, evaluation, and reliability of AI inputs and outputs
- Translate existing statistical data (such as regressions) into AI analysable format
- Architect applied AI and data techniques to surface meaningful, actionable insights rather than raw data or dashboards.
- Build and evolve solutions that maximise value from existing datasets and APIs, avoiding unnecessary data expansion to accelerate delivery.
- Act as a technical leader within Hive, setting architectural direction and raising engineering standards across teams.
- Design and operate secure, multi-tenant services on AWS, with a strong understanding of technology suitability, cost, scalability, and security.
- Partner closely with Product, Data, Professional Services, and other stakeholders to translate business and customer problems into technical solutions.
- Clearly communicate technology capabilities, trade-offs, limitations, and risks to non-technical audiences.
- Take ownership of initiatives from concept through delivery, iteration, and long-term evolution.
- Help to drive Hive’s long-term product roadmap, balancing new features, bug fixes, and technical debt.
- Stay up to date with emerging trends in software engineering, architecture, and AI, and apply relevant learnings to Hive’s platform.
- Mentor senior engineers and emerging leaders on strategy, execution, and influence.
- Anticipate risks and obstacles that could affect delivery or system health.
Requirements
Technical Expertise
- Expert-level experience with Node.js and TypeScript, designing and maintaining production systems using them.
- Experience with Mastra.ai (or similar agentic frameworks), including:
- Agent and workflow orchestration
- Context and memory management
- MCP, Tooling, and API integrations
- Observability, evaluation, and cost awareness
- Deep experience with Amazon Web Services (AWS) and related technologies
- See full list under Tech-Stack Familiarity
- Strong understanding of modern architectures, including microservices and event-driven systems.
- Proven ability to design systems that evolve over time as models, tools, and requirements change.
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Tech Stack Familiarity
You will have excellent working knowledge of most of the following:
- Run-time: Node.js (or modern equivalents)
- Languages: TypeScript (essential), JavaScript (ES6+)
- Back-end: Express.js, GraphQL
- Infrastructure & Tooling: Docker, Terraform
- Databases: MongoDB Atlas (including Search and Data Federation), Redis
- Front-end: React
- Styling: CSS, Emotion, styled-system
- Cloud: AWS (S3, SQS, SNS, Batch, Lambda, ECS, API Gateway)
- CI/CD: Continuous Integration and Deployment
- Source Control: Git
- Testing: Jest, Playwright; BDD and TDD methodologies
- Monitoring & Logging: CloudWatch, Sentry
- Project management: Jira
