At a Glance
- Tasks: Join our Core AI Services team to build the future of MLOps and Agentic Systems.
- Company: Dynamic tech company focused on innovative AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on responsible AI development.
- Why this job: Make a real impact in AI while mastering cutting-edge technologies.
- Qualifications: Extensive software engineering experience, especially with cloud-native services and APIs.
The predicted salary is between 60000 - 80000 € per year.
We are looking for passionate and seasoned Software Engineers to join our Core AI Services team. If you are a seasoned engineer who is energized by the challenge of mastering Agentic Systems and building the MLOps pipelines of the future, we want to talk to you.
- Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Proficient in securing APIs, managing authentication/authorization and data privacy practices.
- Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
- (Desirable) Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
- (Desirable) Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
- (Desirable) Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
- (Desirable) Familiar with AI orchestration and agentic frameworks.
- (Desirable) Experience with tools for automated testing and evaluation of AI outputs.
- (Desirable) Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
- (Desirable) Experience working in Agile teams and collaborating across global teams.
Experienced Software Engineer (AI Services) employer: Deepstreamtech
Join our innovative team as an Experienced Software Engineer in AI Services, where you'll thrive in a dynamic work culture that fosters creativity and collaboration. We offer competitive benefits, including professional development opportunities and a commitment to work-life balance, all set in a vibrant location that encourages both personal and professional growth. Be part of a forward-thinking company that values your expertise and empowers you to make a meaningful impact in the world of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Experienced Software Engineer (AI Services)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and join online forums. The more people you know, the better your chances of landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-native services or AI. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms that simulate real interview scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing passionate candidates who are eager to join our Core AI Services team.
We think you need these skills to ace Experienced Software Engineer (AI Services)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in software engineering, especially with Microsoft and .NET technologies, as well as any experience with cloud-native services.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI services and how your background aligns with our needs. Share specific examples of your work with RESTful APIs and scalable cloud-native services to really stand out.
Showcase Problem-Solving Skills:In your application, don’t shy away from discussing complex technical challenges you've faced. We love seeing how you approach problems and the innovative solutions you've implemented, especially in the context of AI workloads.
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’re considered for the role. Plus, it gives you a chance to explore more about our team and culture!
How to prepare for a job interview at Deepstreamtech
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft and .NET technologies, as well as RESTful API design. Be ready to discuss your hands-on experience with cloud-native services, Docker, and Kubernetes, as these are crucial for the role.
✨Showcase Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think of examples from your past work where you analysed complex problems and proposed scalable solutions. This will demonstrate your critical thinking and problem-solving abilities.
✨Familiarise Yourself with AI Concepts
Since the role involves AI services, it’s a good idea to understand concepts like Large Language Models, Retrieval-Augmented Generation, and AI ethics. Being able to discuss these topics will show your passion and commitment to responsible AI development.
✨Emphasise Team Collaboration
Highlight your experience working in Agile teams and collaborating across global teams. Share specific examples of how you’ve contributed to team success, as this will resonate well with the company’s values and culture.
