Staff Software Engineer
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 staff 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
8+ 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.
Staff Software Engineer
Senior Software Engineer
Senior Software Engineer
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.
Forward Deployed Engineer
Forward Deployed Engineer
About Flow
Flow is reinventing how humanity builds its most complex machines. We are the tool for complex systems engineering used by next gen teams building the future of space, defense, automotive, aviation and robotics. If a company is aiming for the Moon, developing fusion power, or establishing the first interplanetary colony, they’re likely using Flow to get there.
We’re backed by Sequoia Capital with angel investors including Patrick & John Collison (Stripe), David Helgason (Unity) and Kyle Parrish (Figma).
About the Role
As one of our first forward deployed engineers, you’ll sit at the intersection of sales, engineering and customers: understanding how next-gen hardware teams build, guiding deployments, and supporting adoption, ensuring customers have the insight and tools to achieve meaningful outcomes.
This is an ideal role for someone who started their career on hardware engineering programs, then discovered they love working with customers to solve their problems. This role will enable incredible hardware companies to reinvent how they work.
What You’ll Do
Owning the technical win: You will own a valuable part of the sales process (custom demos, trail/POC execution). This is paramount to winning new business for Flow.
Understand and map customer workflows: Work with customers to deeply understand their current workflow, pain points, and priorities, and showcase tailored solutions to proactively address those.
Run technical enablement sessions: Identify and demonstrate how Flow can transform the customer’s development process through workshops, training, and joint solutions sessions.
Shape our roadmap: Act as the link between our customers and engineering to develop new innovative solutions. You will be key in building the future roadmap of our product by acting as the technical team’s eyes and ears in the field.
Build the GTM foundation: Help build and define Flow’s activation methodology for our most strategic customers. You will help design our technical GTM playbook, implementation guides, and training materials for future hires.
About You
Strong software engineering fundamentals: Including designing, testing, and operating services at scale in a cloud environment.
Structured storyteller: You can turn complex ideas into simple messages and make them engaging to both engineers and executives.
-
Builder mentality: You want to help define how a world-class technical GTM motion is built from the ground up.
Nice to have
You get systems engineering: 3+ years in a hardware, mechanical or systems engineering role. You know how complex machines are actually developed.
Sales experience: managed customer relationships in either pre-sales or post-sales engagements. Closing experience is an extra bonus!
Industry experience: Experience in industries such as space, energy, robotics, or advanced manufacturing.
Experience working with engineering tools like Jira, Confluence, PLM, MBSE or legacy requirements tools.
The full posting opens here — pay, setting and the full description, without leaving the list.