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) Solid 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 (ref:hirist.tech)

📌 Bounteous - Full Stack Developer - Python/React.js (Hyderabad)
🏢 Accolite
📍 Hyderabad