Senior/Staff Software Engineer - AI

Flow Engineering
London, United Kingdom
On-site

Who this role is best for

AI-focused software engineers with cloud experience and LLM integration skills will find this high-ownership role in London.

Best fit for

  • Candidates with 5+ years of cloud-scale backend engineering and AI integration experience
    — “5+ years developing production software, including designing, testing, and operating services at scale in a cloud environment.”
  • Engineers who have worked with modern LLM providers and RAG systems
    — “Hands-on experience with modern LLM providers and tooling (e.g., OpenAI, Anthropic, Hugging Face, vector stores, RAG patterns).”

Things to consider

  • The role demands ownership of features from prototype to production, with no ambiguity in responsibility
    — “one clear owner per feature, from prototype to production.”
  • Candidates must be ready to work in a UK-based environment with a focus on AI-native systems
    — “Flow Engineering is an AI-native requirements platform for modern engineering organizations.”

How to stand out

  • Highlight experience with end-to-end AI feature delivery, not just model endpoints
    — “Work across the stack—from backend integrations and APIs to simple UI hooks—to deliver complete AI features, not just model endpoints.”
  • Demonstrate ability to optimize for reliability, latency, and cost in LLM integration
    — “optimizing for reliability, latency, cost, and debuggability in production.”
  • Showcase skills in prompt design and safety/guardrail implementation for AI systems
    — “Familiarity with prompt design, retrieval-augmented systems, evaluation methods, and safety/guardrail approaches.”
Pace · Fast PacedCollaboration · HighAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Design and ship AI-powered features
  • Build and maintain infrastructure
  • Work across the stack
  • Partner with product and customers
Typical background
5+ years developing production softwareHands-on experience with modern LLM providersFamiliarity with prompt design

Skills & requirements

Required

AILLM ProvidersPrompt DesignEvaluation MethodsSafety/guardrail ApproachesBackend IntegrationsApisUI HooksAgentic WorkflowsData PipelinesEvaluation HarnessesPrompt And Model ManagementObservabilitySafety/guardrails

Preferred

TypeScriptNode.jsPythonPostgreSQLCloud Services

Stack & domain

TypeScriptNode.jsPythonLLM ApisPostgreSQLPrompt DesignRetrieval-augmented SystemsEvaluation MethodsSafety/guardrail ApproachesLeadershipCommunicationProblem-solvingAIProductFull-stack Engineering

About the role

Original posting from Flow Engineering via Ashby

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 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.

Source: Flow Engineering careers (Ashby)

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