Software Engineer, Early Career

Posted 3 Days Ago
San Francisco, CA, USA
In-Office
160K-180K Annually
Junior
Software
The Role
Build AI-powered features and agentic workflows for requirements engineering. Ship end-to-end features across backend, APIs, and UI; develop data pipelines, evaluation harnesses, prompt and model management, and observability. Engage with customers (aerospace/hardware teams), iterate rapidly, and learn domain-specific requirements engineering while contributing to production systems.
Summary Generated by Built In

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

*Note that this is NOT a new grad role! This role is for candidates with 0-2 YOE and can start full time right away.

Flow is hiring early career software engineers to help build AI-powered capabilities that let teams author, review, and manage requirements more effectively. You will work alongside experienced engineers on agentic systems engineer and agentic domain engineer workflows, bringing AI into the center of how teams reason about their systems.

This is a role for people early in their careers who are ready for an unusual amount of responsibility and autonomy. You will ship code to production in your first weeks, work directly with customers building rockets, satellites, and aircraft, and learn full-stack and AI engineering from people who have done it before.

What you'll do

  • Ship AI-powered features such as assisted requirement drafting, consistency checks, impact analysis, and intelligent suggestions for systems and domain engineers.

  • Contribute to agentic workflows that help engineers explore designs, simulate changes, and validate requirements.

  • Work across the stack, from backend services and APIs to the UI, so you own complete features rather than isolated pieces.

  • Help build the surrounding infrastructure: data pipelines, evaluation harnesses, prompt and model management, and observability.

  • Talk to customers, watch how they actually use what you built, and iterate quickly.

  • Learn the domain. Requirements engineering for hardware is deep, unfamiliar to most software engineers, and the reason our product is hard to copy.

About you

  • You have less than two years of engineering experience. You have solid fundamentals in data structures, algorithms, and distributed systems, with a customer-minded, pragmatic approach to solving problems.

  • Strong programming fundamentals and demonstrated ability to build real software, whether through internships, research, open source, or personal projects you can walk us through.

  • Some exposure to modern LLM tooling, whether that is coursework, a side project, or an internship. You do not need production AI experience, but you should be genuinely interested in building with these systems.

  • Clear communication. You can explain a technical decision and say when you are stuck.

  • Comfortable with ambiguity and eager to work in a fast-moving environment where the roadmap changes and experiments 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.

Skills Required

  • Can start full time immediately
  • Less than two years of engineering experience
  • Solid fundamentals in data structures, algorithms, and distributed systems
  • Demonstrated ability to build real software (internships, research, open source, personal projects)
  • Some exposure to modern LLM tooling (coursework, side project, or internship)
  • Clear communication and ability to explain technical decisions
  • Comfortable with ambiguity and fast-moving roadmaps
  • Familiarity with TypeScript/Node.js and Python
  • Experience with Postgres or managed cloud data services
  • Familiarity with LLM APIs and orchestration libraries
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
14 Employees
Year Founded: 2017

What We Do

Systems engineering is broken. Despite their desperation, engineers' tools are stuck in the dark ages. Engineers are forced to use Word documents and email to stay on the same page, with no real way to collaborate and iterate designs together. Our mission is to vastly accelerate hardware design by building software tools that accelerate the baseline engineering process worldwide. Our product, Flow, is a requirements tool, built for agile teams, that helps teams to bring products to market faster by seamlessly integrating and synchronising their engineering models. Flow is helping teams design their next-generation products, from heavy-duty hydrogen-powered trucks, Electric Vehicles for inner cities, to satellites and rockets. Flow has raised over $9M in Seed funding. Our investors include EQT Ventures, and former C-level execs and leaders from Microsoft, SAP and Unity.

Similar Jobs

General Motors Logo General Motors

Software Engineer

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Hybrid
2 Locations
165000 Employees
99K-154K Annually

Notion Logo Notion

Software Engineer

Artificial Intelligence • Productivity • Software
Hybrid
San Francisco, CA, USA
1000 Employees
130K-150K Annually

Notion Logo Notion

Software Engineer

Artificial Intelligence • Productivity • Software
Hybrid
San Francisco, CA, USA
1000 Employees
130K-150K Annually

Lightfield Logo Lightfield

Software Engineer

Information Technology • Sales
In-Office
San Francisco, CA, USA
26 Employees
160K-180K Annually

Similar Companies Hiring

Hanover Park Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
42 Employees
Kepler  Thumbnail
Fintech • Software
New York, New York
6 Employees
Onshore Thumbnail
Artificial Intelligence • Fintech • Software • Financial Services
New York, New York
60 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account