Description
Vannevar Labs builds next generation defense software for the public servants keeping our country safe. As a team, we exist because we believe in public service, and we think that our democracy and government improve only if we put serious, collective effort into improving them, including the technology our government uses.
This mission has become urgent. Ukraine is engaged in a war for survival with Russia. China regularly flies nuclear-capable bombers into Taiwan and Japan’s airspace. The US and our allies are fighting a war of deterrence with woefully outdated technology. We build software to support these missions, including providing battlefield information to allies, identifying malign activity, and helping the US deter and deescalate conflict.
We are a profitable growth startup with some of the best defense investors in the world, including General Catalyst, DFJ Growth, Point72, and enterprise tech investors Costanoa and Felicis.
Staff Software Engineer, Generative AI Platform
We’re hiring a senior or staff software engineer to work on our LLM platform that powers Generative AI within our products. As a senior member of the team, you’re expected to drive key technical decisions and establish new best practices for software engineering in a domain that is still greenfield. Your decisions will drive the growth of our platform and the success of the users that depend on it for mission-critical workflows.
What You’ll Do
- Drive the design and direction of our LLM service and build usable interfaces and APIs for other engineers and end users
- Work on scalability, reliability, and cost-efficiency of the platform
- Research new generative AI techniques to implement in our production applications
- Collaborate with Designers, Product Managers, Mission, and Software Engineers to integrate machine learning services with our user-facing products
- Become an expert and point of contact for all things prompt-engineering
- Build out new products using the latest LLM and machine learning techniques
Qualifications
- 5+ years of backend engineering work with realtime and async applications
- 3+ years of working with ML models in production applications
- Experience building scalable APIs
- Prior experience with LLMs and prompt engineering is a plus
- Ability to learn new technologies quickly and work around the stack
- You must be a US resident or citizen.
Benefits:
- Health, dental, and vision insurance
- 100% remote - work from anywhere in the US
- 401k matching
- Mental benefits
- Flexible work environment - you manage your workday
- Pet and child care reimbursement during travel
- Unlimited PTO
The salary range for this position is $175,000 - $220,000 + equity + 401K match. Within the range, individual pay is determined by experience, relevant education, and/or training.
Vannevar Labs is an equal opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
We encourage candidates from all backgrounds to apply, even if you don't feel like you're a perfect fit. If you're passionate about contributing to our mission, we'd love to hear from you!
IMPORTANT NOTICE
We are committed to protecting the privacy of all applicants. Official emails from the company will come from an @vannevarlabs.com domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
We are committed to protecting the privacy of all applicants. Official emails from the company will come from an @vannevarlabs.com domain. Under no circumstances will a legitimate representative from our company contact you to request passwords, financial information, or other sensitive personal data. Please be vigilant of potential scams.
Vannevar Labs
Aerospace
Artificial Intelligence (AI)
GovTech
National Security
Software
0 applies
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