Fullstack Developer (Java, React, AI)

Join us as a Full‑Stack Engineer and help shape a greenfield system end‑to‑end with Java, React, and AWS - no legacy, no shortcuts. You’ll work hands‑on with AI‑augmented engineering, using LLMs and agentic workflows to drive architecture, automate workflows, and deliver production‑grade features. This role is offered on a freelance (B2B) contract. Requirements: • Senior-level experience in software development • Strong experience with Java (Spring Boot) and React (TypeScript) • Hands-on cloud experience (AWS) • Experience building and running production systems (REST APIs, relational databases, CI/CD, containers) • Solid understanding of architecture, design patterns, and trade-offs • Practical experience using AI tools (LLMs, coding assistants) in day-to-day work • Ownership mindset and strong problem-solving skills • English level: C1 AI Tooling Fluency & Augmented Engineering We're looking for an engineer who has genuinely internalised AI into their engineering practice. Your expertise should include: • Agentic Workflows & Tool Chaining: Ability to design and run multi-step AI agent workflows - from technical research, through code generation, to validation against architectural constraints. • AI-Driven Architectural Research: Proficiency in using LLMs to compare frameworks, evaluate libraries, analyze RFCs and standards, and produce well-grounded architectural recommendations. • AI-Driven Code Generation & Refactoring: Hands-on experience generating Java services, React components, integration tests, and migration scripts using modern AI assistants. • Workflow & Tooling Automation: Building small custom tools, scripts, or MCP integrations that accelerate the team's daily work. • AI Judgment: Recognizing the failure modes (hallucinations, outdated knowledge, plausible-but-wrong code) and building habits that compensate for them. Nice to have: • Experience in IoT projects cloud Main responsibilities: • Designing and delivering production-grade features end-to-end across Java (Spring Boot) backend and React frontend. • Architectural Decisions: Driving full-stack architectural choices on a greenfield codebase - data models, API contracts, service boundaries, frontend state architecture. No legacy to hide behind. • AI-Augmented Engineering: Using AI agents and LLM-based tooling daily - for technical research, evaluating libraries and design trade-offs, generating and refactoring code, debugging, and writing tests. • Workflow Automation: Identifying repetitive parts of the development lifecycle (code review prep, documentation, ticket grooming, test scaffolding, release notes) and building AI-driven automations around them. • Research & Decision Support: Leveraging LLMs and agentic workflows to rapidly digest technical documentation, RFCs, and vendor specs - turning hours of reading into actionable architectural input. • Business Partnership: Working directly with business stakeholders - translating fuzzy requirements into clear technical scope, pushing back where it matters, and co-shaping the roadmap. • Scrum & Team Dynamics: Operating in a Scrum cadence with the maturity to keep ceremonies useful and lightweight, not bureaucratic.