Applied AI Software Engineer

If you’re like us, you agree that open source software is a wonderful and unique gift that the community of software developers across the world have given to each other. At FOSSA, we want to proliferate its usage with our software supply chain management platform that helps our customers know what licenses, vulnerabilities, and dependencies go into their software as they utilize open source software packages. And we won’t rest until all companies, big and small, love and feel as comfortable with using open source as we are.

FOSSA is a rapidly growing series-B company with a truly distributed team. While our roots are in San Francisco, our growing team has members in several countries across many time zones. We’re always working to find the perfect balance of effective approaches to distributed work, while maintaining the direct personal connections that help us work better together and love our jobs.

As an applied AI software engineer on our team, you'll be working on researching, designing, prototyping, and implementing our next generation of software at FOSSA. While still working closely with the entire Engineering and Product departments, the R&D team focuses on more experimental software development that will define the future of our company. Our current focus is around using a combination of static analysis, deterministic algorithms, along with LLM interactions, to provide our users with reliable, time-saving, and automated solutions to keeping their projects and the dependencies they use as healthy as possible The R&D team follows a lightweight process that lets the team move fast and learn from experiments quickly. Come help us create the future of FOSSA!

In this role you will:

• Work closely with our R&D business unit to research, plan, design, prototype, and build the future of FOSSA

• Own user-impacting functionality from conception to completion

• Build and scale the most valuable prototypes into production

• Have significant ownership in our technical architecture and R&D roadmap

• Primarily work in Typescript, but touch a variety of codebases in other languages, such as Rust, Haskell, or Go

• Contribute to structured analysis of various languages (Java, Python, others) our customers use

• Experiment with LLMs and context engineering and benchmark the results to ensure we accomplish maximal value and consistency from them

About you:

• Experience working on greenfield projects as part of small teams

• Experience building and deploying software in high-velocity environments

• Experience building and supporting scalable SaaS products and features

• Experience with relational databases and writing performant SQL queries

• Experience interacting with LLM APIs as a service

• Enjoy combining the latest technologies and tools with best practices to accelerate development

• Passionate about getting creative with AI to work around its shortcomings in creating automated solutions to complex problems

• Interest in the art of programming languages (design, compilers and syntax parsing, etc)

• You're comfortable navigating complex domains and building intuitive software for them

• You thrive in an environment that prefers prototypes over proposals

• Proactive in sharing ideas and informed opinions with others

• Attention to detail and quality to anticipate edge cases ahead of time

• A growth mindset and willingness to learn new things

• You have 6+ years of experience working as a backend or fullstack engineer

Why you'll love working at FOSSA:

• Amazing team culture and environment

• Named by Built In as Best Start-up to work for 2024, 2025 and Forbes 2022

• Competitive salary and equity package

• Unlimited PTO

• Remote

FOSSA is an equal-opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

The annual cash compensation range for this position is $120,000 - $200,000 CAD. Final compensation will be determined based on experience and skills and may vary from the range listed.