Description

You will develop AI platforms and deliver technical execution within an enterprise Agile environment.

Responsibilities

• Build and integrate AI/ML solutions including LLM orchestration and database integration.
• Execute technical delivery using Agile methodologies and Jira.
• Implement spike stories and prototypes within Jupyter Notebooks.
• Manage application lifecycles using Git, Terraform, and Harness.
• Develop and maintain RESTful APIs and enterprise-scale platforms.

Required Skills

• 10+ years of full-stack development experience with Python and RESTful APIs.
• 5+ years building AI/ML solutions including LLM integration (OpenAI, Vertex AI) and orchestration (LangChain, Semantic Kernel).
• Proficiency with MongoDB, Vector Databases, and Snowflake.
• Experience with cloud platforms including AWS, Azure, and GCP.
• Hands-on experience with Docker, Kubernetes, and containerization.
• Strong Git skills including PR, forking, and merging workflows.
• Knowledge of TypeScript, React/Node.js, or Angular.
• Experience with unit testing using Pytest.
• Familiarity with CI/CD tools and infrastructure as code.

Preferred Skills

• Experience with LLM ops including prompt engineering, RAG, and caching strategies.
• Familiarity with observability frameworks such as OpenTelemetry, AppDynamics, or Splunk.
• Contributions to open-source AI/ML or developer tool projects.

Key Skills

Education

Any Gradute