Senior Software Engineer Agentic AI Python Expert

• Atlanta
• Hybrid

We are hiring senior engineers who build fast think AI-first and can take agentic AI from prototype to production. You will design ship and operate agentic systems that combine large language models (LLMs) tools/functions planning memory evaluation and multi-agent communication. You will work primarily in Python for AI services and integrate with our enterprise stack (TypeScript//C# SQL Server Azure) delivering trustworthy cost-efficient low-latency experiences in real customer workflows.

What Youll Do!

Build agentic AI applications on Azure AI Foundry: Azure OpenAI models Prompt Flow tools/function-calling evaluations vector search (Azure AI/Cognitive Search) and orchestration for multi-step reasoning and tool use.

Design memory & grounding: implement episodic/semantic/long-term memory with vector/graph stores; architect RAG pipelines and retrieval strategies that improve factuality and reduce latency/cost.

Integrate via Model Context Protocol (MCP) to standardize tool/skill access; design agent-to-agent communication delegation and event-driven workflows.

Connect agents to Microsoft Fabric (OneLake Lakehouse Warehouse Real-Time Analytics) and Dataverse entities/workflows; ensure lineage governance and auditability.

Develop AI-native backend services in Python (FastAPI asyncio) with evaluation harnesses observability and cost/latency/quality dashboards.

Embed AI features into the Speria stack: TypeScript/Angular /C# services SQL Server NServiceBus Azure DevOps pipelines and Ionic/Cypress where applicable.

Use AI-augmented development tools like GitHub Copilot Bolt Cursor Replit and vibe-coding workflows to accelerate delivery test generation refactoring and documentation.

Implement safety & reliability: guardrails red-teaming PII protection prompt hardening regression tests automated evaluations; uphold SLO/SLA excellence in production.

Implement full cycle agentic engineering: design model/tool selection API & UI deployment monitoring continuous improvement.