At a Glance
- Tasks: Design and deploy AI solutions to transform People and Finance operations.
- Company: Join a forward-thinking company embracing AI for innovative change.
- 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
AI Native Software Engineer 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, providing you with unique opportunities to shape processes and drive strategic initiatives in a dynamic environment. With a focus on employee well-being and professional development, we offer a supportive atmosphere that encourages creativity and empowers you to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI/LLM APIs and data integration. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex AI concepts in simple terms, as you'll need to make these ideas accessible to non-technical stakeholders. We want to see how you can bridge that gap!
✨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 and think you can contribute, we want to hear from you. Your passion could be just what we're looking for!
We think you need these skills to ace AI Native Software Engineer
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 stack! Whether it’s backend logic or lightweight front-end development, let us know how you’ve contributed to different parts of a project. We love a well-rounded engineer!
Communicate Like a Pro:Since we’re all about making AI accessible, share examples of how you’ve communicated complex concepts to non-technical folks. We want to see your strategic communication skills in action—this is key for us!
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 love seeing applications come in through our own channels!
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 various aspects 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
Expect questions about how you can challenge existing workflows and introduce intelligent solutions. Prepare to discuss your ideas for automating processes and creating dashboards that centralise intelligence, showing your proactive approach to problem-solving.
