Full Stack Software Engineer
At a glance
Mid-level Full-stack Engineering role at Chalk. San Francisco · full-time · $170,000–$280,000 base.
techroles summary, based on the employer's posting.
What you'll do
- Work with Chalk’s co-founders to bring the first version of the product into production
- Build with TypeScript, Python, Go and React across the software stack
- Make core platform capabilities usable by data scientists and machine learning users in their own environments
- Adjust the platform quickly as customer needs emerge
What you bring
- At least four years of professional software engineering experience
- A computer science degree or equivalent background
- You have built sophisticated user-facing applications with a focus on ease of use
- You understand computer science fundamentals and can build and maintain real systems
Who this fits
This role suits an engineer comfortable working across the stack, taking ownership, and making practical choices with business results in mind. You’ll work onsite in San Francisco five days a week; the role is not hybrid. It calls for strong communication and the ability to learn new concepts quickly.
From the employer
About Chalk
Chalk (chalk.ai) is the platform for production AI. Trusted by enterprises including Whatnot, Grindr, Mission Lane, Turo, and Apartment List, Chalk brings together context, runtime, and learning for agents and models. Chalk’s Context Engine delivers live context by querying data across warehouses, databases, streams, and APIs, straight from the source. Chalk’s runtime powers agents and models with infrastructure and governed access to LLMs and tools. Together, these capabilities help teams build AI that understands their business, continuously improves, and runs reliably in production. We've recently raised a $50 million Series A, led by Felicis. Learn more at chalk.ai.
About Chalk
Chalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained ML capabilities. Our platform combines Rust-speed performance with elegant tools that developers love to use. Leading companies depend on Chalk for everything from stopping fraudulent credit card swipes, verifying identities, and maximizing clean energy capture. We've recently raised a $50 million Series A, led by Felicis.
About the role
We are hiring Software Engineers to join our team. This is an opportunity to join us in-person as an early employee and make a large impact at a high growth start-up. You will tackle challenging engineering problems with a high degree of autonomy and ownership.
We are looking for software engineers who are comfortable solving business problems across all layers of the software stack. At Chalk, we build reliable data processing systems that can operate performantly at scale with a laser-focus on developer experience.
We need engineers who can build world-class user experiences across CLI and web surfaces, while also understanding and contributing to a codebase that contains ideas from compilers, query planners, and distributed systems.
We're in the office 5 days a week. When unavoidable conflicts come up, we’re flexible. This is not a hybrid role.
What you will do
Work directly with Chalk’s co-founders to productionize our first iteration
Write TypeScript, Python, Go, and React
Expose the functionality of our core platform to data scientist and machine learning end-users in their home environments
Iterate rapidly to improve Chalk’s platform in response to customer needs
What we’re looking for
4+ years experience of professional software engineering experience
Working knowledge of computer science fundamentals. We’re not looking for experience from drilling leet code – we need folks who are comfortable building and maintaining real systems
A record of developing sophisticated user-facing applications that are pleasant to use
An eye for high-quality UX
Track record of learning new concepts quickly
Ability to work autonomously & to make pragmatic tradeoffs with an eye towards business outcomes
Strong communication skills
Bachelor's degree in Computer Science or equivalent
Bonus points
Experience implementing data infrastructure
Experience working with developer tools
Experience with applied machine learning or data analytics
Experience with Go
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Full-stack Engineering$170k+
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