Coworker — Senior Software Engineer

• →4–8 years of experience in full-stack software engineering, building 0-to-1 in production environments [Required]

• Built and shipped from zero-to-one in production environments [Must have]
• AI-native development experience — Cursor / Claude Code is a strong signal [Required]
• Using AI to build more AI; personal AI projects also acceptable [Strongly preferred]

• Bachelor's degree in Computer Science or related field [Required]

• Experience with AI/ML APIs and prompt engineering, especially local LLM deployment and high-volume inference management [Required]
• Strong preference for Kubernetes / unmanaged cluster experience [Strongly preferred]
• GoLang, TypeScript, and Python proficiency [Strongly preferred]

• Mentored/managed junior engineers, or interested in management [Required]
• Thrives with ambiguity; self-directs without detailed specs [Required]

• Based in or willing to work from SF or Atlanta [Required]

• Needs heavy structure or detailed requirements to execute
• Resistant to using AI tools in daily engineering workflow
• Only interested in large-company, narrow-scope roles

• Salary: $180K–$200K
• Equity: Competitive (benchmarked via Carta, 80th–90th percentile for role/city/level)
• On-site policy: In-office; 5 days/week Atlanta, 4 days/week SF; preference for Atlanta
• Visa sponsorship: None — US citizens / Green Card holders only
• Employment type: Full-time
• Location: San Francisco, CA or Atlanta, GA

Collapsed in the source page ("View 6 questions to ask candidates" was not expanded). Not captured — expand and re-paste to populate this section.

Detailed stage names/durations were collapsed on the page ("5 steps"). Reconstructed from the intake call summary:

No named-company list was present in the source HTML. The intake references high performers from well-known tech companies who want startup impact and combine technical depth with entrepreneurial drive. Expand the role page (if an Ideal Companies section exists) or paste a companies list to populate this section.

For reference only — do not source these specific profiles.

Aurielle Perlmann — LinkedIn Senior Software Engineer | AI Engineering, Data Quality, and Integration | San Francisco, US

• Google internship and Google experience
• Open questions flagged by client: team-size context, tech-lead experience, willingness to relocate to Atlanta from New Jersey

Jake Williams — LinkedIn Engineer at Coworker.ai | Atlanta, US

• Google internship, Square/Block experience
• Exceptional technical interview: solved an open-ended coding question efficiently and explained decisions clearly
• Motivated to move into engineering management

Wontha Kyaw San — LinkedIn Tech Lead | Atlanta, US

• Strong technical skills, willing to relocate to Atlanta full-time
• Years-of-experience exception granted due to relocation willingness plus strong skills/education

• Local/Relocation Requirement: Only consider candidates currently local to or willing to relocate to SF/ATL — remote-only profiles are a non-starter.
• True Startup 0-to-1 Experience: Candidates need external, full-time employee experience building and shipping production products (not internal or contractor-only builds).
• Hands-On AI Ops: Prioritize tangible experience in local LLM deployment and high-volume inference management — not just evaluation or AI tool usage.

• Comp discrepancy: Salary field and intake state $180K–$200K; the "Why candidates should join" block states $160K–$200K. Using $180K–$200K (authoritative Salary field + intake). Confirm the floor.
• Total funding: Source showed a bare "10" — rendered here as $10M. Confirm.
• Collapsed sections: Screening Questions (6 candidate questions) and the detailed Interview Process stages were not expanded before copy. Re-paste with these expanded to complete the JD.