Senior Software Engineer

AIDA Recruitment; San Francisco (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Equity package

Job summary

Coworker is seeking a Senior Software Engineer with 4+ years of full-stack experience to help build the foundation for enterprise AI. You will be one of the first engineers at a fast-growing seed-stage startup redefining how organizations interact with AI across 40+ enterprise apps.

This on-site role in San Francisco or Atlanta offers USD 180,000–200,000 per year, a competitive equity package, and visa sponsorship not available.

Qualifications

• 4+ years of full-stack software engineering experience.
• Experience shipping from 0-to-1 in production environments.
• Bachelor's degree in Computer Science or related field.
• Experience with AI/ML APIs and prompt engineering, especially local LLM deployment and high-volume inference management.
• Strong Kubernetes / unmanaged cluster experience.
• GoLang, TypeScript, and Python proficiency.

Responsibilities

• Building and shipping full-stack AI-powered systems from deep AI components to traditional code.
• Guiding early technical architecture decisions that will scale with the company growth.
• Leveraging AI to maximize velocity and output in your workflow.
• Mentoring junior engineers and establishing the engineering culture at Coworker.
• Collaborating with the product team to craft vision, strategy, and roadmap for Enterprise AI.

Skills

Mentoring

Autonomy

Ambiguity tolerance

Customer focus

Education

Bachelor's degree in Computer Science or related field

Tools

Go

TypeScript

Python

Kubernetes

Job description

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

1. Initial Screen – 30 minutes
   • Introductory interview to discuss your background, motivation, and overall fit for the role.
2. Technical Interview – 60 minutes
   • In-depth discussion of your technical experience, coding skills, and relevant technologies.
3. System Design / Architecture Interview – 60 minutes
   • Assessment of your ability to design scalable systems, make architectural decisions, and solve complex engineering problems.
4. Team / Culture Interview – 45 minutes
   • Conversation focused on collaboration, communication style, and cultural fit with the team.
5. Final Interview with Alex (CEO) – 30 minutes
   • Final discussion with the CEO covering your experience, motivation, and alignment with the company's vision.
6. Offer
   • Successful candidates will receive an offer.