Senior AI Application Developer
Silgan Containers2 months ago
Brookfield, WI, USASenior
Responsibilities
- Architect and develop production-grade AI applications such as agentic systems, intelligent search, automated reporting, and operational decision-support tools.
- Build AI agents with multi-step reasoning, tool use, function calling, and workflow execution across enterprise systems.
- Develop retrieval-backed AI capabilities and RAG pipelines using structured data, documents, technical content, and operational knowledge.
- Integrate AI applications with ERP platforms, data warehouses, production systems, and business applications.
- Develop across Python, C#/.NET, and TypeScript, contributing to backend services, agent runtimes, and web interfaces.
- Apply SQL and relational data skills to analyze large operational databases and support AI-driven insights.
- Implement enterprise authentication and identity controls, including OAuth2/OIDC, JWT, Active Directory, and least-privilege access.
- Design AI guardrails covering access controls, output validation, prompt safety, data protection, hallucination mitigation, and human approval gates.
- Implement LLMOps practices including prompt versioning, model and quality evaluation, token and cost optimization, monitoring, structured logging, and regression testing.
- Manage AI deployments from proof of concept through pilot and organizational rollout while supporting security, compliance, legal, and governance requirements.
- Mentor and upskill developers, evaluate emerging AI frameworks and tooling, and translate complex AI concepts into technical requirements for business stakeholders.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.
- At least 5 years of professional software development experience shipping production applications to users at scale.
- Hands-on experience building and deploying LLM-powered applications and designing for model limitations and reliability.
- Production experience designing and deploying AI agents using tool calls, function calling, or similar orchestration patterns.
- Professional-level skills in at least two of Python, C#/.NET, and TypeScript, with the ability to work across all three.
- Strong SQL skills, including relational data modeling, query analysis, stored procedures, and performance awareness.
- Experience building retrieval-backed AI features such as search, RAG, or structured data catalogs and evaluating retrieval quality.
- Experience integrating enterprise services through APIs and modern authentication patterns.
- Working knowledge of cloud platforms; Azure is preferred and AWS is also relevant.
- Preferred experience with LangGraph, LangChain, Semantic Kernel, Microsoft Agent Framework, LlamaIndex, or equivalent orchestration frameworks.
- Preferred experience developing Model Context Protocol servers or clients and end-to-end RAG pipelines involving chunking, embeddings, vector search, and retrieval evaluation.
- Preferred experience with React/Next.js, Blazor, Angular, SSE, SignalR, or WebSockets for modern and streaming AI interfaces.
- Preferred experience implementing AI safety controls, output evaluation, LLMOps monitoring, regression testing, Windows Server deployments, and CI/CD pipelines.
- Preferred experience in enterprise security, compliance, change management, audit, manufacturing, supply chain, industrial operations, ERP, or other process-intensive industries.
- Experience mentoring developers or supporting adoption of AI/ML capabilities is preferred.
- Proficiency with GitHub Copilot, Claude Code, Cursor, Aider, or similar AI-assisted development tools is preferred.
Benefits
- Comprehensive medical, dental, vision, life, disability, and AD&D coverage.
- Telemedicine access and supplemental employee benefit programs.
- 401(k) with employer match after the eligibility period.
- Generous paid time off and company-paid holidays.
- Tuition reimbursement and support for certifications and continuing education.
- Collaborative environment with opportunities to influence Silgan’s AI strategy.
- Long-term career potential within a stable, publicly traded global organization.
- The position is located in Waukesha, Wisconsin.
Categories
About Silgan Containers
Silgan Containers manufactures metal food cans, ends, and related packaging for food and beverage brands and processors across North America, and provides equipment and technical training support. Founded in 1987 and headquartered in Woodland Hills, California, the company operates more than 20 U.S. production facilities. Its offerings include food cans, ends, and services such as Silgan University training and on-site technical assistance for high-volume, shelf-stable packaging.