Senior Agentic AI Engineer

Speria; Atlanta (GA); On-site; USD 180,000 - 230,000; Full time

Job summary

Speria is seeking senior engineers to build fast, AI-first agentic systems. You will design, ship, and operate multi-agent AI services that integrate LLMs with tools, planning, memory, and evaluation.

The role emphasizes production-grade Python backend, plus integration with our enterprise stack (TypeScript/Angular, .NET/C#, SQL Server, Azure). You will work on memory/grounding, MCP-based tool access, and agent-to-agent communication, delivering low-latency experiences in real customer

Qualifications

• Proven experience building LLM-powered applications with Azure OpenAI, embeddings, vector stores, RAG, prompt engineering, and evaluation pipelines.
• Hands-on with agent frameworks such as Semantic Kernel, LangGraph, LangChain Agents, AutoGen, or CrewAI.
• Ability to design deterministic, evaluatable, and safe agent behaviors including function schemas, tool success metrics, fallback strategies.
• Practical use of Prompt Flow for authoring, testing, and deploying multi-step AI workflows in Azure AI Foundry.

Responsibilities

• Build agentic AI applications on Azure AI Foundry, using Azure OpenAI models, prompt flow, tool-calling and evaluation.
• Design memory architectures (episodic/semantic/vector/graph) and RAG pipelines to improve factuality and latency.
• Implement MCP services to standardize tool access across agents and enable agent-to-agent communication.
• Connect agents to Microsoft Fabric and Dataverse workflows, ensuring governance and auditability.
• Develop AI-native backend services in Python (FastAPI) with observability and cost/latency dashboards.
• Embed AI features into Speria stack (TypeScript/Angular, .NET/C#, SQL Server) and CI/CD pipelines.
• Use AI-native development tools (GitHub Copilot, Bolt, Cursor, Replit, vibe-coding) to accelerate delivery.
• Enforce safety and reliability: guardrails, red-teaming, PII protection, prompt hardening, regression tests.
• Own the full cycle: design → model/tool selection → API/UI → deployment → monitoring → continuous improvement.

Skills

Azure OpenAI

LLM apps

Agent frameworks

Python backend

Evaluation pipelines

Tools

Semantic Kernel

LangGraph

LangChain Agents

AutoGen

CrewAI

Job description

Speria is seeking senior engineers to build fast, AI-first agentic systems. You will design, ship, and operate multi-agent AI services that integrate LLMs with tools, planning, memory, and evaluation.

The role emphasizes production-grade Python backend, plus integration with our enterprise stack (TypeScript/Angular, .NET/C#, SQL Server, Azure). You will work on memory/grounding, MCP-based tool access, and agent-to-agent communication, delivering low-latency experiences in real customer