Technical Lead

Certus Recruitment Group; Austin (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Certus Recruitment Group partners with an Austin-based technology organization investing heavily in AI, automation and agentic engineering. They’re building frontier AI models and AI agents directly into their core technology environment, delivering systems that operate in production with emphasis on accuracy, reliability and performance.

They’re seeking a senior engineer who remains hands-on while shaping architecture, standards and operating patterns to enable autonomous AI agents to function

Qualifications

• 5-8 years of hands-on software engineering experience.
• Prior technical leadership experience; formal Lead title not required.
• Strong software engineering fundamentals.
• Experience building agentic AI systems that have operated in production.
• Experience with AI agents performing substantive work within engineered constraints.
• Understanding of how autonomous systems fail and how to test, validate and safeguard output.
• Ability to write clean, production-quality code.
• Comfort across languages and frameworks (e.g., Python, .NET).

Responsibilities

• Lead projects across the agentic AI platform.
• Design and build production-grade AI agent systems.
• Define architecture, interfaces and technical direction.
• Establish evaluation, testing, validation and safeguards.
• Determine how AI-generated work is constrained and verified.
• Remove roadblocks and drive development forward.
• Influence AI and engineering roadmap.
• Help hire and develop the engineering team as it grows.
• Collaborate with technical and business stakeholders.

Skills

Hands-on coding

Technical leadership

Production AI systems

Cross-language

Python

DOTNET

Tools

Python

.NET

Job description

Certus 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.