Summary
✨ AI‑Generated
A technology-focused organization is seeking a full stack engineer with AI expertise to design and deliver scalable applications. The role involves backend development with Java, frontend engineering with React, AI integration, and making key architectural decisions.
Highlights
Opportunity to build next-generation AI-powered applications with ownership across the full development lifecycle. Work includes scalable backend systems, modern frontend experiences, and architectural decision-making.
Description
Job Title: Full Stack Software Engineer (AI Focus)
Location: [Insert Location/Remote] Job Type: Full-Time/Contract
About the Role
We are seeking an innovative Full Stack Software Engineer with specialized expertise in Artificial Intelligence to drive the development of our next-generation applications.
In this role, you will own the end-to-end lifecycle of new features, building highly scalable Java backends and dynamic React frontends while integrating cutting-edge LLMs and AI frameworks.
You will be expected to make critical architectural decisions, balance model trade-offs (cost, latency, accuracy), and leverage AI-assisted tooling to accelerate development.
Key Responsibilities
End-to-End Engineering: Architect, build, and deploy robust full-stack solutions, designing everything from the data model and API structure to the user interface flow.Backend Development: Build scalable APIs, microservices, and batch-processing systems utilizing Java.Frontend Development: Own and develop intuitive, responsive UIs for dashboards, internal tools, and public-facing applications using React.AI & LLM Integration: Design and implement AI-powered features (e.g., RAG systems, AI agents, chatbots, recommendation engines) into production environments.Model Management: Evaluate, select, and integrate appropriate AI models (OpenAI, Anthropic Claude, Gemini, Llama) and handle optimization for latency, accuracy, and operational cost.Modern Workflows: Utilize modern AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code) to improve code quality, validate outputs, and enhance engineering velocity.Required Skills & Qualifications
Backend Expertise: Strong professional experience in Java ecosystem architecture and microservices development.Frontend Expertise: Proven track record of owning frontend architecture and delivering complex UIs in React.AI/ML Frameworks: Hands-on experience with the modern AI stack, including LangChain, LlamaIndex, Hugging Face, and Vector Databases.System Design: Exceptional ability to conceptualize new services from the ground up, making sound architectural choices across the entire stack.Problem Solving: Demonstrated ability to navigate the unique technical challenges of AI implementation, including prompt engineering, context window limits, and output validation.
