At a Glance
- Tasks: Build AI-powered features and workflows for modern engineering teams.
- Company: Join Flow, an innovative AI-native requirements platform.
- Benefits: Competitive salary, equity, health coverage, and flexible time off.
- Other info: Fast-paced environment with opportunities for experimentation and growth.
- Why this job: Make a real impact by integrating AI into engineering processes.
- Qualifications: 3+ years in software development with experience in AI tools.
The predicted salary is between 60000 - 80000 £ per year.
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.
Software Engineer- London employer: The Engineering Company
Flow is an exceptional employer for software engineers, offering a dynamic work culture that prioritises speed and innovation in AI-driven engineering solutions. With competitive salaries, meaningful equity, and comprehensive health benefits, employees are encouraged to experiment and grow within a supportive environment that values ownership and collaboration. Located in London, Flow provides unique opportunities to work at the forefront of AI technology, making a tangible impact on modern engineering practices.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer- London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and software engineering. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills. Remember, confidence is key!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Flow. Don’t miss out on this opportunity!
We think you need these skills to ace Software Engineer- London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role. Highlight your experience with AI, software development, and any relevant projects you've worked on. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're excited about the role and how your background makes you a great fit. Be genuine and let your personality come through – we love seeing the real you!
Showcase Your Projects:If you've worked on any cool projects, especially those involving AI or full-stack development, make sure to mention them. We’re keen to see your hands-on experience and how you’ve tackled challenges in the past.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at The Engineering Company
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, Node.js, and Python, as these are key to the role. Brush up on your experience with modern LLM providers and tooling, as this will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed, tested, and operated services at scale. Be ready to explain your thought process when making decisions about model trade-offs and deployment patterns.
✨Demonstrate Your AI Knowledge
Familiarise yourself with prompt design and retrieval-augmented systems. You might be asked how you would evaluate language models or implement safety measures, so have some insights ready to share.
✨Emphasise Collaboration and Ownership
Flow values speed and ownership, so be prepared to talk about how you’ve taken projects from prototype to production. Highlight any experiences where you partnered with product teams or customers to iterate on features based on feedback.
