MTech Systems · 5 hours ago
Senior Software Engineer - Agentic AI
Dunwoody, GA
Full-time
Hybrid
Senior LevelMTech Systems is hiring senior engineers who build fast, think AI-first, and can take agentic AI from prototype to production. The role involves designing, shipping, and operating agentic systems that integrate large language models and various tools to deliver efficient solutions in real customer workflows.
Software
Hiring Manager
Michael Crouse
Responsibilities
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 MTech stack: TypeScript/Angular UIs, .NET/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
Qualification
Required
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
Experience building and consuming MCP services to standardize tool access across agents
Implemented memory architectures (episodic, semantic, vector, graph) and long-running conversational context
Designed agent-to-agent communication patterns (messaging, orchestration, delegation, arbitration)
Integration with Microsoft Fabric, SQL Server, Supabase, Databricks (OneLake/Lakehouse/Warehouse/Real-Time) for grounding data, retrieval, and telemetry
Working knowledge of Dataverse entities, actions, and triggers; connecting agents to line-of-business records and Power Platform workflows
Databricks for ELT, Delta Lake pipelines, feature engineering, ML training/serving, MLflow tracking and model lifecycle
Azure IoT Hub/IoT Edge pipelines to incorporate device telemetry and edge-to-cloud intelligence into agentic workflows
Azure services: App Service/Functions/AKS, Key Vault, Storage, Event Hubs/Service Bus, Monitor/Application Insights
Production-grade Python (FastAPI, asyncio, type hints), Postgres/SQL, Redis, queues, OpenTelemetry, CI/CD, and containerization
Strong API design, testing (unit/integration/property-based), performance tuning, and reliability engineering
Experience in TypeScript/Angular for operator consoles and human-in-the-loop oversight
Ability to integrate with .NET/C#, SQL Server, NServiceBus and Azure DevOps in our enterprise environment
Daily use of GitHub Copilot, Bolt, Cursor, Replit, and vibe-coding to speed delivery and raise quality
Mentor teams in prompting, agent behavior design, context management, evaluation, and AI-assisted engineering practices
Seasoned aptitude for action, tight feedback loops, crisp written communication, and ownership mindset
Company
MTech Systems
MTech Systems is a company specialized in software systems for poultry and swine production.
Founded in 1996
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2017-02-14Acquired
Leadership Team
M
Marcel Cohen
President
Company data provided by crunchbase