About the job
Vannevar Labs is at the forefront of defense technology, leveraging artificial intelligence to deter adversaries and enhance strategic capabilities. In today's algorithmic age, the nature of conflict has transformed, and foresight is equated with firepower. Our AI-driven solutions are specifically designed to counteract threats, particularly in the context of China, addressing scenarios from cross-Strait tensions to gray zone coercion. By utilizing mission-critical datasets in defense, our technology accurately models adversarial actions, simulates strategic campaigns, and offers actionable recommendations to decision-makers. Our AI systems are recognized as some of the most reliable in the industry, actively deployed in the Indo-Pacific region to uphold peace and safeguard lives.
At Vannevar, we understand that exceptional technology is driven by exceptional talent. Our nimble team consists of world-class engineers and seasoned strategists with extensive backgrounds in defense and tradecraft. We are dedicated to creating a company characterized by impactful missions, user-centric design, and sustainable growth. In merely three years, we have scaled from $3 million to $80 million in annual recurring revenue (ARR), achieved early profitability, and attained unicorn status—demonstrating that true disruption does not require ego, and longevity does not necessitate stagnation.
About the Role
AI Agents serve as the backbone of Vannevar's offerings—enhancing user experiences, enriching data workflows, and providing asynchronous alert services. The Agents Platform team is responsible for developing the infrastructure and tools that empower all teams within the organization to create robust and dependable Agents, trusted for high-stakes government applications. In this role, you will be a technical leader, spearheading the development and adoption of this platform while driving innovation in the rapidly evolving domain of Agentic AI.
Your Responsibilities
- Design and advocate for best practices in developing AI Agents.
- Establish standards and tools for Agent quality, including evaluation frameworks, test suites, and benchmarks.
- Collaborate with internal teams to identify emerging product opportunities and create the necessary tooling to support them.
- Work alongside other platform teams, such as the data platform and identity access management, to address governance challenges unique to AI Agents.
- Keep abreast of the latest Agent techniques, tools, and best practices, particularly in areas such as agent architectures and tool integration.

