Vultron
Full Stack Engineer
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Full Stack Engineer
About VultronVultron is building an AI-native platform to help companies identify, qualify, and win government contracts. We’re creating a new category of software purpose-built for the public sector growth stack — one that connects intent, context, and action into a unified workflow.
About the Role- Department: Engineering
- Location: San Francisco, CA
- Type: Full-time, this is an onsite role (5 days a week)
We’re looking for a Full Stack Engineer to design and enhance the core platform that powers Vultron’s intelligence engine. Collaborate with cross-functional teams to revolutionize government contracting and procurement workflows. Address complex engineering issues in applying Large Language Models (LLMs) to real-world data. Work closely with customers to rapidly improve user experience, performance, and security. Play a vital role in expanding and mentoring our early engineering team.
What You'll DoAs a key member of Vultron, you will:
- Develop and Refine Products: Build and enhance our core platform to support complex customer needs.
- Make an Impact: Collaborate with our teams to revolutionize government contracting and procurement operations.
- Solve Unprecedented Challenges: Address complex issues in applying LLMs in government-related settings.
- Rapid Iteration: Iterate closely with customers to improve user experience, performance, and security.
- Grow With Us: Play a vital role in expanding our engineering team.
- 0-4 years of software engineering experience. We are open to recent college graduates candidates who demonstrate exceptional technical depth.
- Proficiency in Typescript, React, NextJS, and other web technologies.
- Proficiency in a backend language (eg. Python).
- Experience with relational databases like Postgres.
- Proven track record in developing exceptional software, especially in enterprise.
- Prior experience in AI and large language models is a plus but not mandatory.
- Extreme care about the end user experience and take pride in building exceptional products.
- Demonstrated passion for start-ups or early-stage companies.
- Open to front-end or back-end specialization, but versatility across the stack is essential.
- UI/UX and product design experience is advantageous, particularly for front-end focused roles.
- 💰 Base salary range of $140,000-$180,000 depending on experience, offers equity
- 🏥 Comprehensive medical, dental, and vision insurance
- 💸 401(k) Retirement Plan to build retirement savings with pre-tax contributions
- 🎓 $1,000 annual learning stipend for professional development
- 🧘 $100 monthly wellness reimbursement
- 🍱 Lunch and dinner at the office every day
- 🥤 Fully stocked kitchen with drinks and snacks
- 🚌 Monthly commuter stipend
- 🎉 Fun team socials and company offsites
- 🏖️ Unlimited PTO to help you recharge
Vultron San Francisco, California, USA Office
San Francisco, CA, United States
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
