---
title: 'Senior Software Engineer at Flow Engineering'
canonical: 'https://feeny.ai/job/senior-software-engineer-flow-engineering-san-francisco-f5c56ge8124c'
type: 'job'
last_seen: '2026-09-12'
---

# Senior Software Engineer at Flow Engineering

- **Company:** Flow Engineering
- **Location:** San Francisco, CA
- **Compensation:** $190k–$250k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-02-13
- **Last confirmed live:** 2026-09-12
- **Apply:** https://jobs.ashbyhq.com/flowengineering/f1cb1247-bbd8-49b2-b380-57f195022c7b/application

**Skills:** TypeScript, Node.js, Python, LLM APIs, Postgres, Cloud services, API development, Agentic systems engineering, Prompt design, Retrieval-augmented systems, RAG patterns, Observability, Data pipelines

> Flow Engineering is seeking a Senior Full Stack Software Engineer to build AI-powered capabilities for modern engineering organizations. The role involves designing and shipping features like assisted requirement drafting and agentic workflows, integrating language models, and maintaining infrastructure such as data...

## Job description

## About Flow

Flow Engineering is an AI-native requirements platform for modern engineering organizations, enabling hardware teams to collaborate with AI agents to design, validate, and evolve complex systems with speed and rigor.

## About the role

Flow is seeking full stack senior software engineers to build AI-powered capabilities that help teams author, review, and manage requirements more effectively. You will work on agentic systems engineer and agentic domain engineer workflows—bringing AI into the center of how teams reason about their systems.​ This role sits at the intersection of AI, product, and full-stack engineering: you will take ideas from prototype all the way to stable, observable features in production.​

## What you’ll do

- Design and ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.
- Build agentic workflows that help “agentic systems engineers” and “agentic domain engineers” explore designs, simulate changes, and validate requirements.​
- Evaluate and integrate language models and related tooling, optimizing for reliability, latency, cost, and debuggability in production.
- Build and maintain the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, observability, and safety/guardrails.
- Work across the stack—from backend integrations and APIs to simple UI hooks—to deliver complete AI features, not just model endpoints.
- Partner with product and customers to identify high-value workflows, run experiments, and iterate quickly based on usage.

## About you

- 5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.
- Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).
- Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.
- Ability to reason about tradeoffs between different models, architectures, and deployment patterns and make pragmatic decisions.
- Comfortable working in a high-ownership, fast-paced environment where experiments and iteration are the norm.

## Our stack (AI-leaning)

- TypeScript/Node.js and Python for AI and backend services.
- Modern LLM APIs and orchestration libraries for building agentic workflows.
- Postgres and other managed cloud services for data and state.

## How we work & values

- Speed over everything: prototype AI workflows quickly, then harden what works.​
- Own, downscope, ship, iterate: one clear owner per feature, from prototype to production.​
- Fundamentals done well: evaluation, observability, and safety are part of the first version, not an afterthought.​
- Competitive salary and meaningful equity.
- Health, dental, and vision coverage.
- Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.

## About Flow Engineering

## Company Overview
- **One-liner**: Flow Engineering provides an agentic platform for systems engineering that enables hardware teams to manage requirements, design, and testing through a living system of record and AI agents.
- **Entity Type**: Private (Series stage not explicitly stated; raised ~$40M total from Sequoia Capital and others)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Pari Singh (CEO)

## Core Business
- **Primary industry**: Systems engineering software / hardware development tools
- **Target customers**: B2B, Enterprise – hardware engineering teams in aerospace, automotive, robotics, defense, and energy (e.g., Rivian, Joby, Astranis, Radiant Nuclear)
- **Mission or purpose statement**: “Help unlock the next generation of hardware” – rebuild systems engineering for the agentic era, enabling teams to design, build, test, and iterate physical systems in hours, not months.

## Products & Services
- **Flow Platform**: A requirements management and systems engineering tool that links requirements, design (CAD), simulations, code, and tests in a single “living system of record”. Features include branching/merging, impact analysis agents, systems graph, flexible data model, and AI agents (e.g., Impact Analysis Agent, Safety & Regulatory Compliance Agent, Mass/Cost/Power Budget Agent). Deployable in cloud, GovCloud, or self-hosted with ITAR, export control, and data residency.
- **Flow v3**: Latest version – first agentic platform for systems engineering, allowing AI agents to perform real engineering work inside hardware development workflows.
- **Flow Engineering Handbook**: Published guide on AI Systems Engineering for the agentic era.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding ~$40M as of most recent round (non‑equity assistance and multiple seed rounds; led by Sequoia Capital and EQT Ventures); Annual Revenue estimated at $2.0M (LinkedIn data)
- **Notable Investors/Partners**: Sequoia Capital (lead investor; partner Roelof Botha on board), Patrick and John Collison (Stripe co‑founders), David Helgason (Unity co‑founder), EQT Ventures, Google for Startups
- **Growth Signals**:
  - Used by tens of thousands of engineers across teams like Rivian (1,500+ engineers), Joby Aviation, Astranis, Radiant Nuclear, Impulse Space, Mytra, Volkswagen Group Technologies.
  - Active job postings: 10–12 open roles (as of mid‑2026), with quarterly job posting growth of +66.7%.
  - Backed by Sequoia Capital (partnered in 2025); company has grown to ~27 employees with presence in US, UK, Sweden, Spain.
  - Headcount growth recent month showed -6.9%, but same‑source LinkedIn shows heavily active hiring pipeline.

## Competitive Advantages
- **Agent‑first systems engineering**: First platform to integrate AI agents that reason across the entire engineering graph (requirements, CAD, simulation, test). Agents perform impact analysis, compliance checks, and budget tracking automatically.
- **Defense‑grade security & compliance**: ITAR/EAR aligned, NIST 800‑171, CUI, SOC 2 Type II, ISO 27001, GDPR, CCPA – essential for regulated industries.
- **Living system of record**: All engineering artifacts linked and version‑controlled with branching/merging, enabling zero‑cost change propagation.
- **High‑value customer base**: Signed marquee hardware companies (Rivian, Joby, Astranis) that are building the next generation of rockets, eVTOL, satellites, and robots.
- **Strong investor backing**: Sequoia Capital (a top‑tier VC) and technical co‑founder endorsements (Collison, Helgason) provide credibility and network.

## Strategic Focus
- **Agentic transformation**: Doubling down on AI agents that can perform real engineering work (not just assist) – moving from analog/digital to “agentic” era.
- **Scaling to enterprise & defense**: Expanding GovCloud, self‑hosted, and ITAR‑compliant deployments to win defense and compliance‑driven contracts.
- **Category creation**: Replacing traditional requirements tools (like IBM DOORS) with a modern, agent‑centric platform.
- **Global hiring**: Aggressively hiring for engineering (AI, frontend, full‑stack, infrastructure) and sales roles across San Francisco and London.

## Why Work Here
- **Impact at scale**: Work directly on tools used by companies building rockets, electric vehicles, autonomous robots – your code ships into real hardware.
- **Engineering culture**: Emphasis on shipping a V1 quickly, iterating, and maintaining “zero cost of change.” Values include speed, fundamentals done well, maximum effort/maximum fun.
- **Work environment**: Hybrid/remote policies not explicitly stated, but roles are listed in San Francisco (in‑office likely for engineering) and London. Equity offered across all roles.
- **Compensation**: Salaries range $120K–$300K for US roles with equity; London roles £80K–£180K.
- **Team culture**: Backed by Sequoia, described as a “small team with huge leverage” – ~27 employees currently but growing fast.
- **Notable perks**: Free trial demo available; engineering handbook published; company rating 4.0/5 on LinkedIn (16 reviews), with strong compensation (4.0) and culture (3.8) scores.

## Sources
1. [flowengineering.com](https://www.flowengineering.com/)
2. [flowengineering.com/careers](https://www.flowengineering.com/careers)
3. [jobs.ashbyhq.com/flowengineering](https://jobs.ashbyhq.com/flowengineering)
4. [linkedin.com/company/flowengineer](https://www.linkedin.com/company/flowengineer)
5. [sequoiacap.com/companies/flow-engineering](https://sequoiacap.com/companies/flow-engineering/)

## Other roles at Flow Engineering

- [Head of Growth Marketing](https://feeny.ai/job/head-of-growth-marketing-flow-engineering-san-francisco-ztbprfe6ddt6) — San Francisco, CA
- [Head of Solutions Engineering (pre-sales)](https://feeny.ai/job/head-of-solutions-engineering-pre-sales-flow-engineering-san-francisco-42mvrhrg2ztx) — San Francisco, CA
- [Head of Deployment (Customer Success)](https://feeny.ai/job/head-of-deployment-customer-success-flow-engineering-san-francisco-aq5cryxtfv81) — San Francisco, CA
- [Deployment Strategist (Customer Success Manager)](https://feeny.ai/job/deployment-strategist-customer-success-manager-flow-engineering-london-we71tepnpxp0) — London, United Kingdom
- [Deployment Strategist (Customer Success Manager)](https://feeny.ai/job/deployment-strategist-customer-success-manager-flow-engineering-san-francisco-drcv2gc9j5dj) — San Francisco, CA
- [Solutions Architect (Sales Engineer)](https://feeny.ai/job/solutions-architect-sales-engineer-flow-engineering-london-3f7c3vc59061) — London, United Kingdom
- [Account Executive, Mid-Market](https://feeny.ai/job/account-executive-mid-market-flow-engineering-san-francisco-wet287t52c8m) — San Francisco, CA
- [Account Executive, Mid-Market](https://feeny.ai/job/account-executive-mid-market-flow-engineering-london-bf3jme1x1sz7) — London, United Kingdom
- [Account Executive - Enterprise](https://feeny.ai/job/account-executive-enterprise-flow-engineering-san-francisco-c1mfxxqh6bcm) — San Francisco, CA
- [Field Account Executive, Defense](https://feeny.ai/job/field-account-executive-defense-flow-engineering-washington-9dg0kn31rzen) — Washington, DC