AI Fullstack Developer

Key Skills: LLM/GenAI Integration, Python/Java/.NET, API Development, LangChain/AI Agents, React (Full Stack Development), System Design & Architecture, Prompt Engineering, AI Workflows, CI/CD & Git, Observability & AI Monitoring, Proven experience in LLM / GenAI integration in real applications

Strong API development and backend engineering expertise

Ability to design and clearly explain system architecture (not just implementation)

Practical experience with: *

• Prompt engineering
• AI workflows (LangChain, agents, tool integrations)
• Observability, feedback loops, and AI evaluation

Strong communication skills and ownership mindset

Roles & Resposibilities:

Build full-stack applications that integrate AI/ML outputs into user-facing and backend workflows.

Develop APIs and services that orchestrate model inference, prompt flows, and agent/tool integrations.

Implement UI/UX experiences for AI-enabled features (explanations, feedback loops, human-in-the-loop controls).

Apply secure SDLC practices: code reviews, testing, dependency management, and vulnerability remediation.

Partner with architects and platform teams to align to standards and reuse shared components.

5+ years building production software (backend and/or frontend) in Java/Python/.NET ecosystems.

Experience with web frameworks and modern UI (React or similar) and REST API development.

Working knowledge of CI/CD, Git workflows, and automated testing.

Comfort integrating with ML services, LLM/agent runtimes, or data platforms via APIs.

Strong problem-solving skills and ability to deliver iteratively in an agile environment.

Experience building internal tools or copilots with prompt engineering and tool/function calling.

Experience with observability for AI features (quality metrics, prompt/model versioning).

UX experience designing AI interactions and feedback capture.