Full Stack Engineer

Vultron.ai•San Francisco, CA

4h•$140,000 - $180,000•Onsite

About The Position

Vultron 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.

Requirements

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.
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.

Nice To Haves

Prior experience in AI and large language models is a plus but not mandatory.
UI/UX and product design experience is advantageous, particularly for front-end focused roles.

Responsibilities

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.