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Flow Engineering · 10 hours ago

Forward Deployed Software Engineer – San Francisco

San Francisco

Full-time

Onsite

Mid Level

$190K/yr - $280K/yr

Flow Engineering is an AI-native requirements platform for modern engineering organizations, and they are seeking AI-focused Forward Deployed Software Engineers to build AI-powered capabilities. The role involves partnering with enterprises to design and ship AI-powered features, building agentic workflows, and maintaining infrastructure for AI systems.

Enterprise SoftwareAerospaceSaaSSoftwareMechanical EngineeringCollaborationProduct Design

Responsibilities

Partner with enterprises and cutting-edge startups to help us 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

AI-powered feature developmentSoftware engineering fundamentalsModern LLM experienceTypeScript/Node.jsPythonCustomer collaborationPrompt design familiarityCommunicationHigh-ownership mindset

Required

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)

Comfort working directly with customers to understand their needs and solve real-world problems

Excellent communication skills - clear, direct, and persuasive across technical and non-technical audiences

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

Reinvent the way humanity develops its most important machines

Founded in 2023

London, England, GBR

11-50 employees

http://flowengineering.com

Funding

Current Stage

Early Stage

Total Funding

$31.5M

Key Investors

Sequoia CapitalEQT VenturesAcequia Capital (AceCap),BACKED VC

2025-10-14Series A· $23M

2022-12-06Seed· $8.5M

2021-08-02Seed

Leadership Team

Pari Singh

Founder & CEO

Recent News

Benzinga.com

Beyond Silicon Valley To Scotch: AI Funding Surges

2025-10-23

globallegalchronicle.com

Flow Engineering Secures $23 Million in Series A Funding

2025-10-21

Techmeme

Flow Engineering, which provides a collaborative hardware development platform for companies like Rivian, raised a $23M Series A led by Sequoia (Allie Garfinkle/Fortune)

2025-10-15

Company data provided by crunchbase