Vannevarlabs
Full-time
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Vannevar builds AI systems for the Department of War's most consequential missions. We have 125 deployments across every branch and combatant command spanning our core platform and five distinct products. An an example of how we work, when major combat operations started with Iran, we fielded a new product supporting 24/7 operations and 9,000+ users in three months.
How we build is our advantage: we deploy forward with the people who own the mission. Our engineers, product team, and CTO deploy forward to the point of friction, including visiting units in Ukraine. We focus on embedding directly with operational units supporting great power competition with China, combat operations with Iran, and counter-narcotics missions.
Vannevar is building the future of national security enablement with agentic AI. Our platform tightens the loop from observation to action by giving warfighters cutting-edge analysis tools to make better decisions, faster.
We’re looking for a talented Product Engineer to join the Systems Agents engineering team. This team builds the coding harness, runtime layer, and software integrations to modernize mission-critical software systems, reduce technical debt, refactor legacy architectures, and accelerate software delivery using AI.
Your team will partner closely with customers, designers, product leaders, and forward-deployed engineers to build lasting products where our partners are meaningfully enabled by AI. You’ll be responsible for building novel full-stack agentic workflows that are production-grade, cybersecurity compliant, and have strong evaluations.
This role is ideal for a product-minded software engineer that has deep technical judgment around AI-native product development and can embed closely with a deployed engineering team to fuse product signal from the early prototyping phase into an enduring product vision. You’ll help the team move quickly, iterate with users, and build pragmatic, high-impact agentic systems for national security missions.
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Job Type
Full-time
Level
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Language
English
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