Recruiting From Scratch
Software Engineer (Generalist)
Recruiting From Scratch, San Francisco, California, United States, 94199
Location: San Francisco, CA
Company Stage of Funding: Recently Closed Series A
Office Type: On-site, 5 Days/Week
Salary: $190K – $280K + Equity
Company Description Our client is a rapidly scaling AI startup building next-generation developer tools that help engineering teams ship faster and with fewer bugs. Their flagship product is an AI system that reviews and analyzes large, multi‑language codebases with deep contextual understanding—supporting everything from code review to debugging to custom internal dev‑tooling.
The company serves 1,000+ engineering teams across industries including technology, finance, healthcare, and defense. With strong product‑market fit, exceptional growth (30% month‑over‑month), and newly secured Series A funding from top‑tier investors, this is an opportunity to join a high‑trajectory team working on some of AI’s most complex and meaningful engineering problems.
What You Will Do
Tackle some of the most challenging engineering problems in AI and developer tooling, including LLM memory optimization, semantic search across large codebases, multi‑language indexing, and more.
Design, implement, test, and deploy full end‑to‑end product features across the stack.
Collaborate closely with founders and engineering leadership to shape technical direction, product strategy, and roadmap priorities.
Gather user feedback, rapidly iterate, and ship improvements at high velocity.
Work in‑person with a small, high‑caliber team where you will have significant ownership and visibility.
Ideal Candidate Background
2–8 years of full‑time software engineering experience.
Strong experience building products end‑to‑end, ideally in fast‑paced or high‑growth environments.
Comfortable working across the stack with an emphasis on backend or full‑stack development.
Proficiency with TypeScript/JavaScript and interest in working with AWS‑based infrastructure (ECS, Lambda, Postgres, DynamoDB).
Enjoy solving complex technical challenges, especially related to AI, developer tools, or large‑scale systems.
Thrives in an on‑site environment and is excited about hands‑on, deeply technical work.
Motivated by high ownership, rapid iteration, and building foundational components in an emerging product category.
Preferred Qualifications (None required; these simply strengthen a candidate’s profile)
Experience working on B2B developer products or complex technical platforms.
Exposure to AI/ML concepts or interest in learning more.
Previous startup or early‑stage company experience.
Background in systems‑level thinking or experience with semantic search, indexing, compilers, or large codebases.
Experience as a technical founder or exposure to research‑oriented work.
Compensation, Benefits & Other Details
Base Salary:
$190K – $280K
Equity:
0.50% – 1.00%
Benefits:
Comprehensive benefits package including healthcare, paid time off, and other startup‑competitive perks.
Visa Support:
Sponsorship available.
Work Environment:
On‑site in San Francisco, collaborating daily with a tight‑knit, world‑class engineering team.
Career Growth:
Exceptional upside potential in a high‑growth AI startup with strong financial backing, product traction, and long‑term market opportunity.
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Company Description Our client is a rapidly scaling AI startup building next-generation developer tools that help engineering teams ship faster and with fewer bugs. Their flagship product is an AI system that reviews and analyzes large, multi‑language codebases with deep contextual understanding—supporting everything from code review to debugging to custom internal dev‑tooling.
The company serves 1,000+ engineering teams across industries including technology, finance, healthcare, and defense. With strong product‑market fit, exceptional growth (30% month‑over‑month), and newly secured Series A funding from top‑tier investors, this is an opportunity to join a high‑trajectory team working on some of AI’s most complex and meaningful engineering problems.
What You Will Do
Tackle some of the most challenging engineering problems in AI and developer tooling, including LLM memory optimization, semantic search across large codebases, multi‑language indexing, and more.
Design, implement, test, and deploy full end‑to‑end product features across the stack.
Collaborate closely with founders and engineering leadership to shape technical direction, product strategy, and roadmap priorities.
Gather user feedback, rapidly iterate, and ship improvements at high velocity.
Work in‑person with a small, high‑caliber team where you will have significant ownership and visibility.
Ideal Candidate Background
2–8 years of full‑time software engineering experience.
Strong experience building products end‑to‑end, ideally in fast‑paced or high‑growth environments.
Comfortable working across the stack with an emphasis on backend or full‑stack development.
Proficiency with TypeScript/JavaScript and interest in working with AWS‑based infrastructure (ECS, Lambda, Postgres, DynamoDB).
Enjoy solving complex technical challenges, especially related to AI, developer tools, or large‑scale systems.
Thrives in an on‑site environment and is excited about hands‑on, deeply technical work.
Motivated by high ownership, rapid iteration, and building foundational components in an emerging product category.
Preferred Qualifications (None required; these simply strengthen a candidate’s profile)
Experience working on B2B developer products or complex technical platforms.
Exposure to AI/ML concepts or interest in learning more.
Previous startup or early‑stage company experience.
Background in systems‑level thinking or experience with semantic search, indexing, compilers, or large codebases.
Experience as a technical founder or exposure to research‑oriented work.
Compensation, Benefits & Other Details
Base Salary:
$190K – $280K
Equity:
0.50% – 1.00%
Benefits:
Comprehensive benefits package including healthcare, paid time off, and other startup‑competitive perks.
Visa Support:
Sponsorship available.
Work Environment:
On‑site in San Francisco, collaborating daily with a tight‑knit, world‑class engineering team.
Career Growth:
Exceptional upside potential in a high‑growth AI startup with strong financial backing, product traction, and long‑term market opportunity.
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