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David Careers

Technical Lead - Agentic AI

Posted yesterday

certus sales recruitmentAustin (TX)
Architectural and Engineering ManagersComputer Systems Design Services

SENIORITY

Manager

SALARY

$140,000 - $170,000 per year

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About the role

Technical Lead - Agentic AIAustin, TX$140,000-$170,000 SalaryCertus Recruitment is partnering with an Austin-based technology organization making a significant investment in AI, advanced automation and agentic engineering. They're building frontier AI models and AI agents directly into their core technology environment - not as experiments, but as systems performing meaningful work in production environments where accuracy, reliability and performance matter. They're now looking for a senior engineer to help shape what comes next. This is a technical leadership role, but it's not a move away from coding. You'll remain highly hands-on while helping establish the architecture, engineering standards and operating patterns that allow autonomous and semi-autonomous AI agents to work reliably within carefully engineered constraints.
What you'll be doing:
  • Leading projects across the agentic AI platform
  • Designing and building production-grade AI agent systems
  • Defining architecture, interfaces and technical direction
  • Establishing approaches to evaluation, testing, validation and safeguards
  • Helping determine how AI-generated engineering work is constrained and verified
  • Removing technical roadblocks and driving development forward
  • Influencing the AI and engineering roadmap
  • Helping hire and develop the engineering team as it grows
  • Working directly with technical and business stakeholders
What we're looking for:
  • 5-8 years' hands-on software engineering experience
  • Previous technical leadership experience - a formal Lead title isn't necessary
  • Strong software engineering fundamentals
  • Practical experience building agentic AI systems that have operated in production
  • Experience with AI agents performing substantive work within engineered constraints
  • An understanding of where autonomous systems fail and how to test, validate and safeguard their output
  • Ability to write clean, maintainable, production-quality code
  • Comfortable working across languages and frameworks - potentially including Python, .NET or similar environments
You don't need to have completed an organization's entire transition to agentic engineering - very few people have. What matters is that you've actually started doing it, encountered the real-world problems and developed informed technical opinions from production experience. This is a rare opportunity to remain deeply technical while having significant influence over how an organization designs, governs, validates and deploys agentic AI.

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