Description

• Strong Python development (FastAPI preferred)
• Experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn
• Hands-on experience with Generative AI, LLMs (OpenAI, Claude, LLaMA, Hugging Face)
• Experience building RAG applications using Vector Databases (Pinecone, FAISS, etc.)
• Knowledge of LangChain, LangGraph, CrewAI, or AutoGen
• MLOps experience (MLflow, CI/CD, model deployment, monitoring)
• Experience deploying AI/ML solutions on AWS, Azure, or GCP
• Docker, Kubernetes, and Terraform
• SQL and REST APIs

<,>Responsibilities

• Build and deploy GenAI and ML applications.
• Develop RAG pipelines and AI agent workflows.
• Deploy, monitor, and optimize AI/ML models in production.
• Implement AI safety, governance, and model monitoring.
• Integrate AI solutions with enterprise automation (Automation Anywhere/UiPath).
• Collaborate with cross-functional teams and mentor junior engineers.

<,>Good to Have

• Healthcare/HIPAA experience
• Agentic AI and Human-in-the-Loop systems
• LLM cost optimization
• Automation Anywhere or UiPath certification

Key Skills

Education

Bachelor's degree