Senior Software Engineer (SF paraform)

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

Job summary

AIDA projektai, MB is seeking a Senior Software Engineer to help build the foundation for enterprise AI. You will be an autonomous full-stack developer who thrives on ambiguity and is obsessed with customer outcomes, shaping early technical architecture in a fast-growing startup.

The role is based in San Francisco or Atlanta, on-site three days per week, with a salary of USD 180,000–200,000 plus competitive equity. Visa sponsorship is not available.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience with AI/ML APIs and local LLM deployment.
• Strong Go/Lang, TypeScript, and Python proficiency.
• Kubernetes experience preferred; unmanaged cluster experience.
• 4+ years of experience in full-stack software engineering.

Responsibilities

• Build and ship across the full stack from deep AI systems to traditional application code.
• Guide early technical architecture decisions that scale with the company.
• Leverage AI to maximize velocity and output in workflow.
• Mentor junior engineers and help establish engineering culture.

Skills

Go Language

TypeScript

Python

AI/LLMs

Knowledge Graphs

Education

Bachelor's degree in Computer Science

Tools

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.