Description

You will build, deploy, and optimize Generative AI and machine learning applications in production.

This role is on-site.

Responsibilities

• Build and deploy GenAI and ML applications using Python and FastAPI.
• Develop RAG pipelines and AI agent workflows with Vector Databases like Pinecone or FAISS.
• Deploy, monitor, and optimize AI/ML models using MLOps tools and cloud platforms.
• Implement AI safety, governance, and model monitoring standards.
• Integrate AI solutions with enterprise automation tools such as Automation Anywhere or UiPath.

Required Skills

• 5+ years of strong Python development experience (FastAPI preferred).
• Hands-on experience with ML frameworks: PyTorch, TensorFlow, or Scikit-learn.
• Experience building RAG applications and working with LLMs (OpenAI, Claude, LLaMA, Hugging Face).
• Knowledge of LangChain, LangGraph, CrewAI, or AutoGen.
• MLOps experience including MLflow, CI/CD, model deployment, and monitoring.
• Experience deploying AI/ML solutions on AWS, Azure, or GCP.
• Proficiency with Docker, Kubernetes, and Terraform.
• SQL and REST API integration skills.

Preferred Skills

• Healthcare or HIPAA compliance experience.
• Experience with Agentic AI and Human-in-the-Loop systems.
• LLM cost optimization techniques.

Key Skills

Education

Bachelor's degree