Responsibilities:

• Design, develop, and deploy AI applications and agents that support business needs.
• Build AI pipelines and workflows using Python and modern frameworks.
• Implement model lifecycle management, tracking, and versioning using MLflow.
• Use Azure DevOps for source control, build/release pipelines, and deployment automation.
• Design and implement APIs to integrate AI agents with enterprise applications and services.
• Build, configure, and work with MCP servers to support multi-agent solutions and orchestration.
• Collaborate with multi-functional teams to define, design, and deliver AI-enabled solutions.
• Leverage Databricks Mosaic AI and other cloud-based platforms (Azure, AWS, GCP).
• Stay ahead of AI/ML advancements and recommend new approaches and technologies.

Required Skills and Experience:

• Proficiency in Python with a validated focus on AI/ML development.
• Experience with LangChain, LangGraph, and MLflow.
• Confirmed background in AI application development and intelligent agent design and agent orchestration.
• Experience in API development and system integration.
• Hands-on experience with MCP servers or multi-agent frameworks.
• Exposure to modern application frameworks such as Next.js, React, FastAPI.
• Familiarity with major cloud platforms (Azure, AWS, or GCP).
• Exposure to Databricks Mosaic AI is helpful.
• Strong analytical, problem-solving, and interpersonal skills

“Nice To Have” Skills and Experience:

• Experience with Flask, Django, Node.js/Express, Streamlit, or Gradio!
• Experience integrating AI solutions into enterprise-scale web.
• Background in microservices architecture and containerization (Docker/Kubernetes)