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Open nowFirst seen 47 hours ago

Senior Software Engineer (SF paraform)

AIDA279 open roles

Pay
$180,000 – $200,000 a year
Where
San Francisco, California, United States
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Your applicationOpen nowSenior Software Engineer (SF paraform)AIDA · San Francisco, California, United States

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. AIDA postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: first seen 47 hours ago

AIDA median: 1 days open

The posting

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

Short AI interview or with a recruiter from agency regarding experience

  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.
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