# Senior Full-Stack Engineer at Numosai

> Onsite · United States · Senior · Full-stack · open. Source: https://alderhq.app/jobs/ashby%3Anumosai%3A979ea4ff-a86d-4e1e-9e82-05f26cb831d6 (read 2026-11-10).

## Facts (observed)

- Company: [Numosai](https://alderhq.app/companies/numosai)
- Location text: San Francisco Bay Area
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco Bay Area")
- Posted: 2026-03-31 (225 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/numosai/979ea4ff-a86d-4e1e-9e82-05f26cb831d6
- Skills listed (inferred): Python, AWS, GCP, Azure, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 64): p25 $187k, median $205k, p75 $225k

## Description (the employer's text)

We’re looking for a senior full stack engineer to help build the core systems behind AI teammates for finance. You’ll design and ship infrastructure that allows agents to initiate, execute, and complete real workflows across messy enterprise environments. This is not surface-level AI. You’ll be working on systems that combine reasoning, context, and action in production.

### What you’ll do

Design and build end-to-end systems that power intelligent, outcome-driven workflows

Own features across the stack, from backend services to user-facing interfaces

Integrate AI models into reliable, auditable production systems

Work closely with product and customers to solve real finance and accounting problems

Build for scale, security, and enterprise-grade reliability from day one

### What we’re looking for

5+ years of full stack development experience

Strong proficiency in Python

Experience with modern cloud platforms (AWS, Azure, or GCP)

Hands-on experience integrating AI/ML systems into applications

Background in enterprise software architecture and distributed systems

### Why Numos

You’ll be building systems that don’t just assist work, but actually get it done. The problems are complex, the expectations are high, and the impact is real.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Anumosai%3A979ea4ff-a86d-4e1e-9e82-05f26cb831d6 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.