Head of Engineering

About UniversalAGI

UniversalAGI is a forward deployed AI research lab building the future of AI automation. We are the go to strategic AI partner when you need to; gain competitive advantage, lead market transformation, or accelerate AI adoption for both Enterprise and Government. We’ve achieved significant traction with enterprise clients, and at an inflection point where we are hiring a technical leader who will take us to the next level.

We're backed by Eric Schmidt, Elad Gil, Ion Stoica, David Patterson. Our elite team brings experience from OpenAI, Tesla, Nvidia, Apple, Palantir, Amazon, Princeton, Stanford, and UC Berkeley.

The Role

We are looking to add a Head of Engineering to our Leadership bench who leads through technical excellence. You’ll be the technical north star of our Engineering Team: one who can architect systems, guide critical technical decisions, review code, and provide guidance on production issues. You will build and scale the engineering organization.

• Define and drive the technical strategy for our AI automation platform

• Make critical decisions on LLM architectures, agent frameworks, and infrastructure design

• Maintain hands-on involvement in coding, architecture reviews, and technical problem-solving

• Lead by example - be the first to tackle the hardest technical challenges

• Design and implement robust LLM evaluation frameworks and deployment pipelines

• Architect multi-agent systems that can operate autonomously in production

• Build secure, VPC-hosted infrastructure for enterprise deployments

• Optimize model serving, inference pipelines, and resource utilization at scale

• Establish evaluation frameworks to measure and improve our AI solutions

• Bridge research findings into production-ready platform capabilities with clear APIs

• Drive aggressive product roadmaps from concept to production (0→1 and 1→100)

• Ship production-ready products that deliver real value to enterprise clients

• Balance rapid iteration with system reliability in a high-stakes environment

• Own the full stack - from infrastructure to customer-facing features

• Recruit and hire exceptional engineers who raise our technical bar

• Mentor engineers through code reviews and technical guidance

• Build a culture that values collaboration, deep work and minimizes interruptions

• Earn respect through technical competence, not titles

• Deep LLM/AI Experience: Production experience with LLM evaluation, fine-tuning, RAG systems, prompt engineering, and agent orchestration

• AI Agent Development: Proven track record building autonomous agent systems, multi-agent architectures, and complex reasoning chains

• Infrastructure & DevOps: Expert-level knowledge of VPC hosting, Kubernetes, secure multi-tenant deployments, and enterprise-grade security

• Evaluation Systems: Experience building comprehensive evaluation frameworks for AI systems

• Full-Stack Capability: Ability to build from infrastructure layer to customer-facing demos and MVPs

• 5+ years of software engineering with 2+ years in technical leadership

• Proven experience scaling AI/ML systems from prototype to enterprise production

• Deep expertise in Python and modern ML frameworks (PyTorch, TensorFlow)

• Experience with cloud infrastructure, security, and compliance (SOC2, HIPAA)

• Track record of shipping production AI applications that generate real business value

• Technical Respect: Ability to earn respect through hands-on technical contribution

• Intensity: Thrives in our unusually intense culture - willing to grind when needed

• Customer Obsession: Passionate about solving real customer problems, not just cool tech

• Deep Work: Values long, uninterrupted periods of focused work over meetings

• High Availability: Ready to be deeply involved whenever critical issues arise

• Communication: Can translate complex technical concepts to customers and team

• Growth Mindset: Embraces the compounding returns of intelligence and continuous learning

• Startup Mindset: Comfortable with ambiguity, rapid change, and wearing multiple hats

• Work Ethic: Willing to put in the extra hours when needed to hit critical milestones

• Team Player: Collaborative approach with low ego and high accountability

• Experience at high-growth AI startups (Seed to Series C)

• Forward deployed experience

• Track record with enterprise AI deployments and complex integrations

• Experience building evaluation systems for LLM applications

• Published research or significant open-source contributions in AI/ML

• Experience with regulated industries and compliance requirements

• Built and scaled engineering teams from 5→50+ engineers

• Opportunity to shape the technical foundation of a rapidly growing AI company

• Work on cutting-edge AI problems with immediate real-world impact

• Direct collaboration with the founder & CEO and ability to influence company strategy

• Competitive compensation with significant equity upside

• In-person first culture - 5 days a week in office with a team that values face-to-face collaboration

• Access to world-class investors and advisors in the AI space

“The credit belongs to the man who is actually in the arena, whose face is marred by dust and sweat and blood; who strives valiantly; who errs, who comes short again and again... who at the best knows in the end the triumph of high achievement, and who at the worst, if he fails, at least fails while daring greatly." - Teddy Roosevelt

At our core, we believe in being “in the arena.” We are builders, problem solvers, and risk-takers who show up every day ready to put in the work: to sweat, to struggle, and to push past our limits. We know that real progress comes with missteps, iteration, and resilience. We embrace that journey fully knowing that daring greatly is the only way to create something truly meaningful.

If this resonates with you, let’s talk.