Description

Design and build autonomous agents that reason, plan, and execute tasks with minimal human intervention to improve spatial insights and operational decisions.

This role is on-site.

Responsibilities

• Design and implement scalable geospatial solutions using Python, API integrations, and Azure AI services.
• Build intelligent mapping workflows leveraging LangChain and AutoGen frameworks.
• Connect AI models to enterprise systems, databases, and SaaS applications for real-world actions.
• Implement state graphs, vector stores, RAG, and long-term memory systems to maintain workflow continuity.
• Establish observability, logging, and drift detection for agent telemetry and audit controls.

Required Skills

• 8+ years of experience in software engineering and AI solution development.
• Strong hands-on Python development skills with API design and integration.
• Deep knowledge of Azure AI Foundry, Azure OpenAI, and Azure Functions.
• Proficiency in Agentic Frameworks such as AutoGen, LangChain, or Semantic Kernel.
• Experience with Data RAG Engineering using vector databases and Delta Lake.
• ML Ops and DevOps experience, including CI/CD pipelines and infrastructure as code.
• Ability to operate production-grade AI solutions in a live environment.

Preferred Skills

• Background in geospatial data processing and mapping workflows.
• Experience with serverless architectures for scalable agent ecosystems.

Key Skills

Education

Any Graduate