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 AI Judgment: Recognizing the failure modes (hallucinations, outdated knowledge, plausible-but-wrong code) and building habits that compensate for them.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.