Senior Infrastructure Software Engineer

As an infrastructure engineer at Reworkd, you'll shape the future of how our LLM systems interact with the browser. In your first month you may:

• Optimize our queuing system to handle 1M+ compute heavy (Playwright) jobs a day
• Migrate an existing pool of batch workers off of AWS to bare metal
• Enhance autoscaling / deployment strategy using K8s or similar technologies

Responsibilities:

• Leading and collaborating on mission critical features / bugs
• Promoting engineering best practices throughout the rest of the team
• Ensuring that our tech stack is able to scale with our hyper growth

Qualifications and Skills:

• Located in the SF Bay Area or able to relocate to the Bay Area
• 3+ years experience writing production grade Python (+TypeScript). Bonus if you have experience with NextJS, FastAPI, and SQLAlchemy/SQLModel.
• Prior experience building and managing distributed / batch job systems
• Proficiency with optimizing queries in MySQL, Postgres, or similar SQL based database
• Experienced with hosting on AWS and/or bare metal (knowledge of K8s is a plus)
• Bonus: prior experience as an operator or founding employee at another startup
• Bonus: deep knowledge of modern web automation techniques (e.g. Selenium, Playwright, CDP protocol, proxies etc.)

Compensation: The base compensation for this role is $130,000 - $180,000 USD per year. In addition, you will also receive equity-based compensation, a top tier medical/dental/vision plan, and unlimited PTO. We also host weekly team outings, team dinners and will even give you a haircut (our COO is a barber).

Reworkd is an in-person company, our brand new office is located in the heart of San Francisco. Successful candidates will be required to relocate if they do not already live in the Bay Area.

About Reworkd: At Reworkd, we're working on multimodal LLM agents to extract structured web data at scale. Since inception, Reworkd has been one of the leaders in AI Agents, having built and scaled AgentGPT to over 1M+ monthly users. We are a team of engineers and operators from leading CS universities such as UBC, CMU and SFU. Our team has prior experience at organizations such as AWS, Article, and Microsoft AI. Currently a small, fast moving team of four, we've built every layer our our LLM/Agent stack including: evals, prompt design, LLM/Agent routing and custom OCR pipelines. Additionally, we're backed by top tier investors including Y Combinator, Paul Graham, SV Angel, General Catalyst, AI Grant, and many more.