Senior Software Engineer - Agents Platform
AI summary of the role
Lead the development and adoption of the Agents Platform at Vannevar Labs, building the platform and tooling that enables all teams to create robust, reliable AI agents for high-impact government use cases.
What you’ll do
- Design and evangelize best practices for building AI Agents
- Drive standards and tooling for Agent quality including evaluation frameworks, test suites, and benchmark creation
- Partner with internal teams to find emerging product opportunities and build the tooling needed to support them
- Collaborate with other platform teams to solve governance problems unique to AI Agents
What you’ll bring
- 5+ years of experience building and deploying backend, infrastructure, and/or machine learning systems in production environments
- Recent experience and excitement for building with Agent frameworks like LangGraph, Claude SDK, Google ADK, or similar
- Advanced software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure
- A history of not only building great tooling, but evangelizing them within a medium-large organization
Technologies
LangGraph · Claude SDK · Google ADK · distributed systems · APIs · cloud infrastructure · AI Agents · agent frameworks · evaluation frameworks
About Vannevar Labs
Builds agentic AI software and edge sensing products for U.S. defense missions, helping operators model adversaries, detect threats, and make faster mission decisions.
Series B · 100–200 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
three years, we grew from $3M to $80M in ARR, achieved early profitability, and reached unicorn status—proving that disruption doesn’t require an ego, and staying power doesn’t mean standing still. About the role AI Agents are core to Vannevar’s products - powering user-facing experiences, data enrichment pipelines, and asynchronous alerting services. The Agents Platform team builds the platform and tooling to enable all teams across the company to build robust and reliable Agents that are trusted for high-impact Government use cases. You will be a technical leader driving the development and adoption of this platform and helping us innovate in the rapidly changing space of Agentic AI. What you’ll do Design and evangelize best practices for building AI Agents Drive standards and tooling for Agent quality including evaluation frameworks, test suites, and benchmark creation Partner
More from the job description
Vannevar is a defense technology company building AI to deter our adversaries. In the 21st century, conflict moves at algorithmic speed and foresight equals firepower. Our agentic AI is purpose-built to compete with China—from cross-Strait conflict to gray zone coercion. Trained on the most mission-relevant datasets in defense, our technology models adversary behavior, simulates campaigns, and recommends the best course of action to decision makers. Our AI systems are some of the most trusted in the industry and actively used on the front lines of the Indo-Pacific to keep the peace and save lives. Exceptional technology starts with exceptional people. Vannevar is a small agile team combining world-class engineers with veteran strategists who bring deep expertise in defense and tradecraft. We’re building a company defined by mission impact, user empathy, and disciplined growth. In just three years, we grew from $3M to $80M in ARR, achieved early profitability, and reached unicorn status—proving that disruption doesn’t require an ego, and staying power doesn’t mean standing still. About the role AI Agents are core to Vannevar’s products - powering user-facing experiences, data enrichment pipelines, and asynchronous alerting services. The Agents Platform team builds the platform and tooling to enable all teams across the company to build robust and reliable Agents that are trus [... source excerpt omitted ...] in areas like agent architectures, tool calling What we’re looking for 5+ years of experience building and deploying backend, infrastructure, and/or machine learning systems in production environments Recent experience and excitement for building with Agent frameworks like LangGraph, Claude SDK, Google ADK, or similar. Advanced software engineering skills, including experience with distributed systems, APIs, and cloud infrastructure A history of not only building great tooling, but evangelizing them within a medium-large organization You have a passion for building reliable, performant AI systems and understand how they create value for end users U.S. Person status is requi
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