Description

Responsibilities:

• Serve as a Agentic AI Engineer with responsibility for designing and implementing scalable geospatial solutions using Python, API integrations, and Azure based AI services in a hybrid work model, leveraging Langchain and Autogen frameworks to build intelligent mapping workflows that improve spatial insights, operational decisions, and positive societal outcomes across diverse industries.
• Agentic Orchestration Design and build autonomous agents capable of reasoning planning and executing tasks with minimal human intervention
• Tool API Integration Connect AI models to enterprise systems databases and SaaS applications so agents can perform real world actions
• Memory Context Management Implement state graphs vector stores RAG and long term memory systems to maintain continuity in workflows
• Monitoring Governance Establish observability and logging for agent telemetry drift detection signals and audit controls
• Agentic Frameworks Proficiency in frameworks like AutoGen LangChain or Semantic Kernel or equivalent to manage agent interactions and workflows
• Programming Languages Strong hands on development skills primarily in Python along with API design and integration
• Data RAG Engineering Ability to connect agents to data using vector databases Delta Lake and Retrieval Augmented Generation
• ML Ops DevOps Experience operating production grade AI solutions including prompt updates CICD pipelines and infrastructure as code

Requirements:

• Technical Skills: Cloud Azure Services Deep knowledge of Azure AI Foundry Azure OpenAI and serverless functions Azure Functions to build scalable agent ecosystems
• Experience: 8 to 12 Yrs

Key Skills

Education

Any Graduate