What are the responsibilities and job description for the Sr Agentic AI Engineer position at Jobs via Dice?
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Ledgent Technology, is seeking the following. Apply via Dice today!
No Corp-to-corp / No Third-Party Agencies
We're Hiring on behalf of our client for Lead Agentic AI Engineer
Location: Hybrid Onsite near Fullerton, CA
Compensation: 190,000 to 210,000 annual salary (DOE)
Terms: Full-Time, Direct Hire
Partnered with a client who is seeking Lead AI Developer to help shape the next generation of intelligent, production-grade AI inside a mission critical, on prem manufacturing platform. They're looking for a Sr. Agentic AI engineer who can own architecture, hands on development, and technical leadership as they embed advanced agentic capabilities, secure tool ecosystems, and reliable LLM integrations across Microsoft-based stack.
What You'll Do
No Corp-to-corp / No Third-Party Agencies
We're Hiring on behalf of our client for Lead Agentic AI Engineer
Location: Hybrid Onsite near Fullerton, CA
Compensation: 190,000 to 210,000 annual salary (DOE)
Terms: Full-Time, Direct Hire
Partnered with a client who is seeking Lead AI Developer to help shape the next generation of intelligent, production-grade AI inside a mission critical, on prem manufacturing platform. They're looking for a Sr. Agentic AI engineer who can own architecture, hands on development, and technical leadership as they embed advanced agentic capabilities, secure tool ecosystems, and reliable LLM integrations across Microsoft-based stack.
What You'll Do
- Architect end to end AI capabilities within an on prem .NET environment.
- Build a robust agent runtime that handles tool execution, task state, routing, retries, and safe boundaries.
- Integrate with hosted LLM providers using modern tool/function-calling patterns and quality guardrails.
- Develop and maintain secure MCP-style tool servers for SQL, internal APIs, and file/report systems.
- Implement human in the loop controls, auditability, secrets management, and least privilege access patterns.
- Drive observability across logs, metrics, tracing, and dashboards.
- Establish testing strategies spanning unit, integration, failure simulation, and contract testing.
- Provide architectural direction, mentorship, reviews, documentation, and golden-path patterns for future AI dev work.
- Support deployments, troubleshooting, and alignment of AI capabilities with product priorities.
- 7 years building distributed, production systems (Ideally, in .NET/C# services).
- 2 years with agentic AI architecture/integration experience in business environment (not only personal projects).
- Strong Microsoft SQL Server fundamentals (schema design, stored procedures, safe query practices).
- Experience integrating with LLM APIs and building production-grade agent/tool ecosystems.
- Skill in designing API/tool contracts (schemas, versioning, error handling, limits).
- Solid grounding in security: authZ/authN, least privilege, secrets, data minimization.
- Ability to lead architecture discussions and produce clear, actionable designs.
- Comfort working in Windows/on prem enterprise environments.