AI Application Developer

Software Guidance & Assistance, Inc., (SGA), is searching for a Senior AI Application Developer for an opportunity with one of our premier clients in Waukesha, WI., This is a hands-on AI engineering role focused on designing, building, and operationalizing production-grade AI applications across manufacturing, supply chain, quality, finance, and enterprise operations. The engineer will expand and harden an existing pre-production AI platform, developing intelligent retrieval, AI agents, enterprise integrations, and governance capabilities. Key Responsibilities

• Design and develop LLM-powered applications, including AI agents, RAG/search, automated reporting, and decision-support solutions.
• Build agentic workflows capable of multi-step reasoning, tool/function calling, and enterprise workflow execution.
• Develop RAG pipelines connecting ERP data, documents, technical manuals, maintenance records, and knowledge bases.
• Integrate AI solutions with ERP, data warehouses, production systems, and enterprise applications through secure APIs and connectors.
• Develop hybrid solutions combining deterministic data processing with AI-generated analysis, anomaly detection, and business insights.
• Implement AI governance and safety controls including authentication, authorization, output validation, data protection, hallucination mitigation, auditability, and human approval workflows.
• Deploy applications into production with logging, monitoring, performance and cost tracking, evaluation, and regression testing.
• Apply LLMOps practices, including prompt management, model evaluation, token optimization, and performance monitoring.
• Partner with security, compliance, legal, data, infrastructure, and business teams to ensure responsible AI adoption.
• Mentor existing developers and help establish scalable AI engineering practices and standards.

• 5+ years of professional software development experience building production applications.
• Hands-on experience developing and deploying LLM/Generative AI applications.
• Experience building AI agents and multi-step workflows using tools such as LangGraph, LangChain, Semantic Kernel, Microsoft Agent Framework, or equivalent.
• Strong development skills in at least two of Python, C#/.NET, and TypeScript, with the ability to work across multiple application layers.
• Strong SQL skills, including relational database design, stored procedures, query optimization, and enterprise RDBMS platforms such as SQL Server.
• Experience with RAG, intelligent search, or retrieval-based AI applications.
• Experience integrating enterprise applications through REST APIs and modern authentication including OAuth2/OIDC, JWT, Windows/Active Directory integration.
• Working knowledge of Azure or AWS, including deployment, security, identity, and monitoring.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience., * Experience with Model Context Protocol (MCP) servers/clients and enterprise tool integrations.
• Experience with vector databases and RAG technologies such as Azure AI Search, pgvector, Pinecone, Weaviate, or FAISS.
• Experience with AI evaluation/observability tools such as RAGAS, DeepEval, LangSmith, or comparable frameworks.
• Experience with LLMOps, prompt versioning, cost/token monitoring, and automated AI regression testing.
• Experience building real-time AI interfaces using SignalR, WebSockets, SSE, AG-UI, CopilotKit, React/Next.js, or Blazor.
• Experience with Windows Server, IIS, PowerShell, and CI/CD pipelines.
• Experience working within regulated enterprise environments with formal security, compliance, change-management, and audit requirements.
• Manufacturing, supply chain, industrial operations, or plant-floor experience.
• Experience with JD Edwards EnterpriseOne, SAP, or enterprise data platforms such as Azure Fabric/Synapse, Snowflake, Databricks, or Redshift.
• Experience mentoring developers and leading adoption of emerging AI technologies.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Claude Code, Cursor, or Aider.

Ideal Candidate The ideal candidate is a hands-on software engineer who has moved beyond AI experimentation into production AI engineering. They should be comfortable working across Python/.NET/TypeScript, enterprise data, APIs, LLMs, agents, RAG, and cloud/on-prem infrastructure while understanding the security, governance, reliability, and scalability requirements of a large enterprise.

By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.

SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let’s work better together, we mean it. You’ll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .