AI Engineer Agentic Systems - must be local in Pittsburgh, PA

System One, Inc.; Pittsburgh (Allegheny County); On-site; USD 120,000 - 180,000; Full time

Job summary

System One, Inc. in Pittsburgh is seeking an AI Engineer to design, build, and ship agentic AI tools in Azure within our enterprise environment.

You will work under the technical direction of an experienced AI architect, owning the codebase and day-to-day technical decisions from requirements to production delivery.

Qualifications

• BS in CS or related field; MS preferred.
• 3–6 years software/ML/data eng; 1+ year production LLM apps.
• Expert Python; strong API design and SQL; familiar with C#/.NET and MS SQL.
• Shipped at least one agentic or RAG system to real users.
• Experience using AI coding assistants in professional development; code review & testing.
• Azure deployment including identity, networking, containers, serverless.
• IaC and CI/CD with Azure DevOps or similar.
• Experience designing evaluation methods for LLM outputs.

Responsibilities

• Turn complex business processes into agent designs: roles, tool schemas, memory, human review.
• Build production-grade orchestration with LangGraph and Microsoft Agent Framework; integrate tools via MCP and APIs.
• Integrate agents with System One platforms and data flows; enforce validation rules and reconciliations.
• Design retrieval over documents with hybrid search, metadata filtering, access control.
• Develop infrastructure in Azure using IaC and CI/CD within security standards.
• Establish LLMOps: evaluation suites, guardrails, tracing, cost and latency budgets.
• Implement least-privilege identity, secrets handling, auditing, data protection, prompt-injection defenses.
• Write design/docs, manage work through Azure DevOps Boards, report progress.

Skills

Python

API Design

SQL

C# / .NET

Azure

LLMs

CI/CD

Azure DevOps

IaC

LLM Evaluation

Education

Bachelor's in CS/Engineering or related

MS preferred

Tools

LangGraph

Microsoft Agent Framework

MCP servers

Azure DevOps Boards

Azure SQL / MS SQL Server

Job description

*** This position is open only to local candidates in Pittsburgh, PA. The role is fully on-site with no remote work. We are unable to offer relocation help. We are also unable to offer any visa sponsorship or green card sponsorship for this role ***

AI Engineer, Agentic Systems

System One is developing agentic AI tools to automate and modernize its business operations. These agents read documents and records, call business systems and APIs, carry out multi-step workflows, and hand off to people where judgment is needed. The first major project will apply agentic AI to automate a complex enterprise business process, with additional AI solutions to follow. Accuracy, security, and a clear audit trail matter as much as automation.

Role summary

An engineer with 3 to 6 years of experience who designs, builds, and ships agentic AI tools from requirements to production in Microsoft Azure and System One’s enterprise application environment.

You will work under the technical direction of an experienced AI architect, who defines the agent architecture and guardrails and reviews your work. This is a hands‑on build role with close mentorship. You will own day‑to‑day technical decisions, the codebase, and delivery.

What you will do

• Turn complex business processes into working agent designs with the architect: agent roles,tool schemas, memory, and human‑in‑the‑loop review points
• Build production‑grade orchestration with LangGraph and Microsoft Agent Framework; integrate tools through MCP and enterprise APIs
• Integrate agents with System One business platforms and data flows; enforce output accuracy with validation rules and reconciliation checks
• Design retrieval over business documents with hybrid search, reranking, metadata filtering, and document‑level access control
• Build and maintain application infrastructure in Microsoft Azure using infrastructure as code and approved CI/CD pipelines, working within established security, identity, and networking standards.
• Establish LLMOps: automated evaluation suites, guardrails, tracing, and cost and latency budgets
• Implement security controls: least‑privilege identity, secrets handling, audit logging, protection of sensitive business data, and prompt‑injection defenses
• Write design and support documentation, manage work through Azure DevOps Boards, report progress to stakeholders

Required qualifications

• B.S. in Computer Science, Engineering, or a related field; M.S. preferred
• 3 to 6 years of software, ML, or data engineering experience, with at least 1 year building LLMapplications in production
• Expert Python; strong API design and SQL; working familiarity with C#/.NET applications andMicrosoft SQL Server/Azure SQL
• Shipped at least one agentic or RAG system to real users
• Experience using AI coding assistants or AI development agents in professional software development, including reviewing, testing, and validating AI‑generated code before it is deployed.
• Experience developing and deploying applications in Microsoft Azure, including cloud identity, networking, containers, and serverless technologies
• Experience with infrastructure as code and CI/CD using Azure DevOps or comparable enterprise development practices
• Experience designing evaluation methods for LLM outputs

Preferred qualifications

• Experience building business automation, financial workflow, or other transaction‑oriented enterprise systems
• Multi‑agent systems, MCP servers, or custom tool‑use frameworks
• Experience integrating workflows and enterprise applications across CRM, ERP, financial,HR/payroll, document management, collaboration, and other SaaS platforms.
• Fine‑tuning or serving open‑weight models with vLLM, Azure Machine Learning, or approved Azure‑hosted services
• Certification: Azure AI App and Agent Developer Associate (AI-103), Azure AI Engineer Associate, Azure Developer Associate, or Azure Solutions Architect Expert