Role Focus:

• Build and deploy LLM-based GenAI applications end-to-end
• Design and implement agentic and multi-agent systems
• Develop RAG pipelines and document intelligence solutions
• Build AI backend services
• Develop and integrate chat UIs, copilots, and dashboards with AI APIs
• Productionize, deploy, and monitor AI systems on cloud platforms
• Ensure performance, security, scalability, and Responsible AI compliance

Nice to have:

• Fine-tuning open-source LLMs (LoRA, PEFT, Hugging Face)
• Experience with autonomous agents and async workflows
• Exposure to RPA + Agentic AI integration
• Knowledge of AI governance, monitoring, and security

More skills:

Python, FastAPI, Flask, ML, Deep Learning, NLP, MCP, A2A, FAISS, Pinecone, Weaviate, Chroma, Milvus, HTML, CSS, JavaScript, Stremlit, React, REST, WebSockets, Azure, AWS, GCP, Docker, Kubernetes, CI/CD, MLflow, Azure ML, SageMaker, Vertex AI