We are looking for a Senior Software Engineer with 4+ years of experience to help build the foundation for the next era of enterprise AI. You are a hungry, autonomous full-stack developer who thrives on ambiguity and is obsessed with making customers happy. You'll be one of the first engineers at a fast-growing seed-stage startup that is redefining how organizations interact with AI across 40+ enterprise apps. You'll have the opportunity to shape early technical architecture decisions and establish engineering culture from the ground up.
Role Details
Location
- San Francisco, CA
- Atlanta, GA
Work Model
- Full-time
- On-site (office-based) -3 times per week
Salary
- USD 180,000–200,000 per year
Equity
- Competitive equity package, benchmarked by Carta at the 80th–90th percentile for startups based on the role, location, and experience level.
Visa Sponsorship
- Not available (candidates must already have US work authorization, e.g. US citizens or Green Card holders).
Tech Stack
- Go
- TypeScript
- Python
- AI / LLMs
- Knowledge Graphs
Seniority
-4 - 8 years of experience in full-stack software engineering, building from 0-to-1 in production environments
Work experience
Built and shipped from zero-to-one in production environments
AI-native development experience - Cursor/Claude Code strong signal
Using AI to build more AI; personal AI projects also acceptable
Education
Bachelor's degree in Computer Science or related field
Hard skills
Experience with AI/ML APIs and prompt engineering, especially local LLM deployment and high-volume inference management
Strong preference for Kubernetes / unmanaged cluster experience
GoLang, Typescript, and Python proficiency
Soft skills
Mentored/managed junior engineers or interested in management
Thrives with ambiguity; self-directs without detailed specs
Miscellaneous
Based in or willing to work from SF or Atlanta (
Miscellaneous
Updated Traits to avoid
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
What will you be doing?
- Building and shipping across the full stack — from deep AI systems (context graphs, model routing) to traditional application code
- Guiding early technical architecture decisions that will scale as the company grows
- Leveraging AI aggressively in your own workflow to maximize velocity and output
- Mentoring junior engineers and establishing the engineering culture at Coworker
- Collaborating with the product team to craft vision, strategy, and roadmap while pushing the frontier of what's possible with Enterprise AI
Tech stack
- GoLang, TypeScript, Python, AI/LLMs, Knowledge,Graphs
Recruitment Process
- Initial Screen – 30 minutes
- Introductory interview to discuss your background, motivation, and overall fit for the role.
- Technical Interview – 60 minutes
- In-depth discussion of your technical experience, coding skills, and relevant technologies.
- System Design / Architecture Interview – 60 minutes
- Assessment of your ability to design scalable systems, make architectural decisions, and solve complex engineering problems.
- Team / Culture Interview – 45 minutes
- Conversation focused on collaboration, communication style, and cultural fit with the team.
- Final Interview with Alex (CEO) – 30 minutes
- Final discussion with the CEO covering your experience, motivation, and alignment with the company's vision.
- Offer
- Successful candidates will receive an offer.