Software Engineer, AI/ML – San Francisco jobs in United States
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Flow Engineering · 1 week ago

Software Engineer, AI/ML – San Francisco

Flow Engineering is building an AI-native requirements platform for modern engineering organizations, and they are seeking an AI/ML-focused Software Engineer to build AI-powered capabilities for managing requirements. The role involves designing and shipping AI-powered features and integrating language models to enhance workflows for systems engineers and domain engineers.

AerospaceCollaborationEnterprise SoftwareMechanical EngineeringProduct DesignSaaSSoftware

Responsibilities

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

Qualification

Applied ML experienceLLM experienceSoftware engineering fundamentalsModern LLM toolingPrompt designData pipelinesTeam collaborationFast-paced environment

Required

3+ years of experience in applied ML, LLMs, or adjacent fields, with a track record of shipping ML/LLM-powered features in production
Strong software engineering fundamentals, 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

Benefits

Health, dental, and vision coverage.
Flexible time off and support for experimentation, learning, and staying current with the AI ecosystem.

Company

Flow Engineering

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Reinvent the way humanity develops its most important machines

Funding

Current Stage
Early Stage
Total Funding
$31.5M
Key Investors
Sequoia CapitalEQT VenturesGoogle for Startups
2025-10-14Series A· $23M
2022-12-06Seed· $8.5M
2021-08-02Seed

Leadership Team

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Pari Singh
Founder & CEO
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Company data provided by crunchbase