At a Glance
- Tasks: Design and deploy AI solutions to transform People and Finance operations.
- Company: Join a forward-thinking company embracing AI innovation.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with potential for significant impact and career advancement.
- Why this job: Be at the forefront of AI technology and redefine business processes.
- Qualifications: Experience with AI APIs, full-stack development, and strong communication skills.
The predicted salary is between 60000 - 80000 € per year.
Requirements
- Modern AI Proficiency: Strong experience building with modern AI/LLM APIs and the ability to manage complex data structures through Databricks and BigQuery.
- Full-Stack Versatility: Comfortable working across the stack, including backend logic, data pipelines, and lightweight front-end development.
- Embedded Experience: A history of working in cross-functional roles where you’ve translated business needs into technical reality.
- Strategic Communicator: Able to make AI concepts accessible to non-technical stakeholders and happy to define problems rather than just execute specs.
- (Desirable) System Integration Expertise: Specific experience integrating with HR or finance systems like Workday, Greenhouse, or Navan.
- (Desirable) Agentic Workflow Mastery: Proven success in building agents that handle routine questions and autonomous processes.
We understand some people may not apply for jobs unless they tick every box. But if you're excited about joining us and think you have some of what we're looking for, even if you're not 100% sure, we'd still love to hear from you.
What the job involves
- Reporting To: People Operations & Reward Director.
- We're hiring an AI-native software engineer who will be embedded across our People and Finance teams, helping us reimagine how those functions operate in a world where AI changes what's possible.
- This isn't a traditional engineering role. You'll spend as much time thinking about process, insight, security and workflow as you will reviewing code written by the latest AI tools.
- You'll start by automating manual processes and building coherent dashboards from data that currently lives in too many places — then you'll help us see further: how can these functions stop being reactive and start leading with intelligence?
- Build AI-Native Solutions: Design and deploy multi-step AI pipelines and agentic workflows using modern LLM APIs (Anthropic, OpenAI) to transform internal operations.
- Automate & Orchestrate: Identify manual, repetitive processes across People and Finance to build reliable automation—from onboarding flows to complex month-end reporting.
- Centralize Intelligence: Integrate data from core business systems (Workday, Greenhouse, Navan) into Databricks and BigQuery to create unified, real-time dashboards.
- Define the "Art of the Possible": Partner with functional leaders to challenge existing workflows and prototype "intelligent" ways of working before they become industry standards.
- Own the Roadmap: Act as a "team of one" initially, moving between high-level strategic conversations and hands‑on technical implementation to deliver a long-term vision.
- Ensure Reliability & Security: Spend dedicated time ensuring the security and integrity of workflows, reviewing AI-generated code, and making high judgement "build vs. buy" decisions.
AI Native Software Engineer in London employer: Deepstreamtech
Join a forward-thinking company that values innovation and collaboration, where as an AI Native Software Engineer, you'll be at the forefront of transforming People and Finance functions through cutting-edge AI solutions. Our inclusive work culture fosters continuous learning and growth, offering you the chance to develop your skills while making a meaningful impact on our operations. With a focus on strategic communication and cross-functional teamwork, you'll thrive in an environment that encourages creativity and embraces the future of technology.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving AI and data pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI and software engineering. Think about how you can explain complex concepts simply—this will impress those non-tech stakeholders!
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t tick every box, if you’re excited about the role, we want to hear from you. Your passion could be just what we need!
We think you need these skills to ace AI Native Software Engineer in London
Some tips for your application 🫡
Show Off Your AI Skills:Make sure to highlight your experience with modern AI and LLM APIs in your application. We want to see how you've tackled complex data structures and what cool projects you've worked on that showcase your AI prowess.
Be a Full-Stack Hero:Don’t shy away from mentioning your versatility across the tech stack. Whether it’s backend logic or a bit of front-end flair, let us know how you’ve contributed to different areas of software development.
Communicate Like a Pro:We love strategic communicators! In your application, share examples of how you've made technical concepts accessible to non-tech folks. This shows us you can bridge the gap between tech and business needs.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to get your application and ensures you don’t miss out on any updates. Plus, we’re excited to hear from you!
How to prepare for a job interview at Deepstreamtech
✨Know Your AI Stuff
Make sure you brush up on your knowledge of modern AI and LLM APIs. Be ready to discuss specific projects where you've built or integrated these technologies, especially in relation to data management with tools like Databricks and BigQuery.
✨Show Off Your Full-Stack Skills
Prepare examples that showcase your versatility across the tech stack. Talk about your experience with backend logic, data pipelines, and any lightweight front-end development you've done. This will demonstrate your ability to handle the diverse requirements of the role.
✨Communicate Like a Pro
Since you'll need to explain complex AI concepts to non-technical stakeholders, practice simplifying your explanations. Think of ways to translate technical jargon into relatable terms, and be ready to share how you've done this in past roles.
✨Be Ready to Innovate
Come prepared with ideas on how to automate processes and improve workflows within People and Finance teams. Think about previous experiences where you've challenged existing methods and introduced intelligent solutions, as this aligns perfectly with what the company is looking for.
