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
About Company
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