Solution Analysts - AI Technical Lead

About the Role:

We are looking for a seasoned Technical Lead to take ownership of the further enhancement and new development of our AI Product - a production, multi-user AI-powered platform that generates and builds complete web applications from client requirements. The product is a TypeScript monorepo: a Fastify + PostgreSQL/Prisma API, a React + Vite portal, and an agentic build engine built on the Anthropic (Claude) SDK, with real-time updates over SSE and end-to-end quality gates in Vitest and Playwright.

This role combines strong hands-on technical expertise with leadership across these areas. At the architecture level, you will own the platform architecture and technical roadmap, define the AI agent architecture and guardrails, lead design reviews, and document key decisions as ADRs. At the team management level, you will lead and mentor the engineering team, allocate work, provide regular feedback, support hiring and onboarding, and build a culture of ownership and AI-driven engineering excellence.

The ideal candidate is smart, a quick learner, embraces AI coding tools as a daily working style, and is comfortable ramping up fast on a large, spec-driven codebase.

Required Skills & Experience:

- Full-time hands-on development experience with strong command over TypeScript/Node.js and React full-stack development.

- Proven track record of building and delivering scalable, high-quality applications in production.

- Strong backend experience with Node.js API frameworks (Fastify/Express/NestJS), REST APIs, authentication/RBAC, and end-to-end application architecture.

- Solid experience with databases - PostgreSQL, MySQL, MongoDB, and other NoSQL stores - and ORMs (Prisma preferred), including schema design and migrations.

- Technology-agnostic mindset - the AI Product will generate projects on new stacks over time (e.g., mobile, new frameworks, new languages), so the candidate must be able to pick up any technology quickly and work on it confidently.

- Working knowledge of LLM/AI application development - prompt design, tool/function calling, agentic workflows, and building with model provider SDKs (Anthropic/OpenAI).

- Ability to independently handle complex development tasks, debugging, and performance tuning in a large existing codebase.

- Strong testing discipline - unit/integration testing (Vitest/Jest) and end-to-end automation (Playwright/Cypress).

- Experience in defining coding standards, conducting code reviews, and ensuring quality compliance.

- Hands-on experience using AI coding tools (Claude Code, Cursor, GitHub Copilot, etc.) to speed up coding, documentation, and problem-solving.

- Strong understanding of SDLC, Agile practices, and modern DevOps workflows (Git/GitLab, CI/CD).

- Quick learner - able to absorb a specification-driven codebase (feature specs, ADRs, traceability matrices) and become productive rapidly.

- Excellent communication skills with the ability to articulate technical decisions and risks clearly.

Key Responsibilities:

Technical Expertise:

- Strong hands-on proficiency in the product stack - TypeScript, Node.js (Fastify), PostgreSQL/Prisma, React (Vite) - across a multi-package monorepo.

- Enhance and extend the AI build engine: agent orchestration, planner/driver seams, prompt and tool design using the Anthropic SDK, and deterministic test drivers for offline verification.

- Design, develop, debug, and deploy scalable features end-to-end - from database schema through API to portal UI, including real-time updates (SSE).

- Implement to specification with full traceability: map requirements to code and acceptance criteria to automated tests; no stubs, no placeholders.

- Skilled in solving complex technical challenges and performing root-cause analysis, including build-pipeline failures and AI-generation defects.

- Experience in writing clean, maintainable, secure, and testable code - including RBAC enforcement, secret handling, and audit logging discipline.

- Ship safely using feature flags and byte-identical fallbacks; verify end-to-end before arming new behaviour in production.

- Experience with system architecture, design patterns, API design, integrations, and performance optimization; document decisions as ADRs.

- Adaptability across technologies as per product needs (e.g., mobile/React Native output targets, new integrations).

- Hands-on use of AI tools (Claude Code, Cursor, GitHub Copilot, etc.) to accelerate development, documentation, and testing.

- Able to support pre-sales, contribute to solutioning, and confidently appear in client technical interviews.

- Able to manage the development team effectively, providing guidance and training whenever required. Can also conduct technical sessions when needed.

Behavioural Expectations:

- Strong ownership mindset with commitment to delivering high-quality outcomes.

- Clear and proactive communicator - able to convey progress, risks, and dependencies effectively to internal and external stakeholders.

- Collaborative working style, fostering respectful dialogue and healthy team interactions.

- Ability to work under shifting priorities while maintaining focus and productivity.

- Continuous learner who embraces new tools, technologies, and AI-driven engineering practices.

- Positive attitude with a solution-first approach to challenges.

- Verification-first mindset - treats 'tests pass' and 'feature works in production' as different claims and proves both.

- High sense of ownership, availability, accountability, and problem-solving mindset.

Good to Have:

- Exposure to DevOps practices, CI/CD pipelines (GitLab CI), Docker, and cloud deployments (AWS).

- Experience with agent frameworks / multi-agent orchestration, evals for LLM outputs, or AI code-generation products.

- Exposure to React Native / mobile build pipelines (Android APK delivery, iOS).

- Experience with multi-tenant SaaS concerns - roles/permissions matrices, credential pooling, rate limiting, observability.

- Prior work with analytics, automation, or system integration projects.

- Experience participating in architecture forums or SDLC process improvement initiatives.

- Certifications in architecture, cloud, or project management (e.g., AWS Solutions Architect, PMP, Certified Scrum Master).

Skills

Full Stack, TypeScript, Node.js, React.js, PostgreSQL, Agentic AI, Generative AI