Junior Software Engineer, AI-Driven Hardware Systems

Doist; San Francisco (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

FlowFlow Engineering in San Francisco is seeking an early-career software engineer to join an AI-native requirements platform. This is not a new-grad role; 0–2 years of experience welcomed and you will ship code to production within weeks, collaborating with customers on rockets, satellites, and aircraft-like workflows.

You will work across the stack—backend services, APIs, and UI—building AI-powered features, exploring agentic workflows, and learning AI engineering from seasoned engineers in a

Qualifications

• 0–2 years of engineering experience required.
• Strong fundamentals in data structures, algorithms and distributed systems.
• Some exposure to modern LLM tooling (coursework, side project, or internship).
• Clear communication and ability to explain technical decisions.
• Comfortable with ambiguity in a fast-moving environment.

Responsibilities

• Ship AI-powered features such as assisted requirement drafting and consistency checks.
• Contribute to agentic workflows enabling design exploration and validation.
• Work across the stack—from backend services to UI—owning complete features.
• Help build data pipelines, evaluation harnesses, and model management infrastructure.
• Talk to customers and iterate quickly based on real usage.

Skills

Data structures

Algorithms

Distributed systems

Customer focus

Programming fundamentals

Tools

LLM tooling

Job description

FlowFlow Engineering in San Francisco is seeking an early-career software engineer to join an AI-native requirements platform. This is not a new-grad role; 0–2 years of experience welcomed and you will ship code to production within weeks, collaborating with customers on rockets, satellites, and aircraft-like workflows.

You will work across the stack—backend services, APIs, and UI—building AI-powered features, exploring agentic workflows, and learning AI engineering from seasoned engineers in a