Software Engineer- London
Join Flow Engineering as a Software Engineer to build AI-powered features for modern engineering organizations.
Posted by employer 4 months ago
First seen on Joblaze 1 week ago
Last verified on the company career page 1 day ago
Skills & Technologies
AI in the day-to-day
You will work on agentic systems engineer and agentic domain engineer workflows—bringing AI into the center of how teams reason about their systems.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the software engineer will focus on developing AI-driven features that enhance how engineering teams manage requirements, from drafting to validation. Key skills include experience with modern language models, cloud environments, and full-stack development, particularly in TypeScript, Node.js, and Python. This position is ideal for someone with over three years of production software experience who thrives in a fast-paced, ownership-driven setting. Flow Engineering emphasizes rapid prototyping and iteration, making it a dynamic environment for innovation.
Joblaze insights
- Listed 9 days ago on Joblaze — tracked directly from Flow Engineering's career page.
- Flow Engineering has 20 other open roles including Senior Sales Engineer, Deployment Strategist (Customer Success Manager), Deployment Strategist (Customer Success Manager).
- 6527 active Python roles on Joblaze right now.
- 5148 active AI/ML roles on Joblaze right now.
- 1940 active TypeScript roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$190,800 (median $160,000, across 3229 roles). See Python salary trends
Quick facts
- Is the Software Engineer- London role remote?
- No — this is an on-site role in London.
- How much experience is required?
- At least 3 years of relevant experience for this Software Engineer- London role.
- Where is the role based?
- Flow Engineering is hiring for this position in London.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, Node.js, PostgreSQL, Python, TypeScript.
- What seniority level is this role?
- Flow Engineering targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Software Engineer- London role at Flow Engineering.
From the original posting
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
3+ 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.