AI / LLM :

- Hands-on experience with LLM APIs (OpenAI, Anthropic, Cohere, or similar)

- Experience building agentic systems (tool use, memory, multi-step reasoning)

- Familiarity with prompt engineering techniques (chain-of-thought, few-shot, RAG)

- Understanding of fine-tuning and model evaluation concepts

Backend (Python) :

- Strong proficiency in Python 3.x

- Experience with FastAPI or Django / Flask

- Working knowledge of SQL and NoSQL databases (PostgreSQL, MongoDB, Redis)

- Familiarity with async programming and background task queues (Celery, RQ)

- Experience with Docker and deploying to cloud platforms (AWS, GCP, or Azure)

Frontend (React) :

- Strong proficiency in React.js and modern JavaScript (ES6+)

- Experience with TypeScript

- Familiarity with state management (Redux, Zustand, or Context API)

- Ability to build streaming UI for LLM outputs (token-by-token rendering)

- Basic understanding of UX principles for AI interfaces

General :

- Experience with Git and collaborative development workflows

- Comfort working in fast-paced, ambiguous environments

- Strong problem-solving and communication skills

Nice to Have :

- Certified Claude Architect Foundations (CCA-F)

- Experience with Claude Code, Cursor, or other AI-assisted development tools

- Contributions to open-source AI projects

- Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph)

- Knowledge of MLOps practices and model deployment (MLflow, Weights & Biases)

- Familiarity with WebSockets for real-time AI streaming

- Experience with Kubernetes or serverless architectures