At a Glance
- Tasks: Design and build an AI platform that powers business operations and market strategies.
- Company: Join Aries, a rapidly-scaling software group focused on AI-driven solutions.
- Benefits: Competitive salary, dynamic work culture, and opportunities for professional growth.
- Other info: Collaborate with a talented team and shape the future of AI infrastructure.
- Why this job: Make a real impact by creating systems that drive automation across various business functions.
- Qualifications: 3-6 years in platform engineering or backend development with strong Python skills.
The predicted salary is between 30000 - 50000 € per year.
Role Overview
The Role: AI Platform Engineer As an AI Platform Engineer at Aries, you’ll help design, build, and evolve the internal AI platform that powers how we go to market and run our business. This includes orchestrating intelligent agents, stitching together third‑party systems, and enabling fast iteration on experimental workflows that scale across the company. You’ll work at the intersection of backend engineering, infrastructure, and AI application design, collaborating closely with engineering, GTM, and operations teams to build a one‑stop platform for deploying, managing, and scaling AI‑driven agents.
Key Responsibilities
- Build the Core Platform: Develop foundational systems that support portfolio company onboarding and drive intelligent GTM agents for outbound, inbound, and operational workflows.
- Deploy and Monitor Agents: Design infrastructure to train, run, monitor, and evaluate AI agents from prototype to production.
- Stitch Systems Together: Integrate third‑party tools via APIs and state machines, enabling seamless experimentation and rapid deployment of AI‑driven processes.
- Drive Iteration: Enable fast experimentation by supporting the rollout of lightweight agents and promote successful patterns into the productized platform.
- Ensure Platform Reliability: Own system observability, performance, and security across agent pipelines and infrastructure.
- Collaborate Across Functions: Work closely with GTM, engineering, and operations stakeholders to generalize field needs into scalable platform capabilities.
- Build for the Future: Help expand Aries into a core AI operating system that will eventually drive the lion’s share of company strategy.
Qualifications
- 3‑6+ years of experience in platform engineering, ML infrastructure, or backend development.
- Strong Python skills (Go, Java, or TypeScript experience a bonus).
- Proven experience building and operating distributed systems and APIs.
- Familiarity with tools like Kubernetes, Terraform, Postgres, Redis, Airflow, or LangChain.
- Experience deploying or integrating LLMs or agent‑based systems in production.
- Excited to bridge systems, build reusable tooling, and ship with speed and ownership.
- Passionate about infrastructure that creates leverage for the rest of the business.
Benefits & Culture
Aries is a rapidly‑scaling, next‑generation software group purpose‑built to scale founder‑led, mission‑critical SaaS companies at the heart of the $50B+ cloud ecosystem. We unify niche B2B SaaS businesses under Aries’ AI and Growth Platform—unlocking visibility, velocity, and value across our portfolio. With a permanent capital base and $200M invested annually, we’re building a new model for software scale focused on long‑term value. Help shape a platform that enables AI‑driven automation across every business function. Work on real‑world systems used daily by GTM, recruiting, and finance teams. Collaborate with a sharp, high‑ownership team solving high‑leverage problems. Join early and contribute to the foundational infrastructure of a rapidly‑scaling company. If you’re energized by the idea of building agent infrastructure, working across AI and ops, and creating systems with real impact—let’s build.
AI Platform Engineer employer: Aries Global
At Aries, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As an AI Platform Engineer, you'll have the opportunity to work with cutting-edge technology in a rapidly-scaling environment, where your contributions directly impact our mission-critical SaaS companies. With a focus on employee growth, competitive benefits, and a commitment to long-term value, Aries is the ideal place for those looking to make a meaningful difference in the world of AI-driven automation.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer
✨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 platforms or backend systems. 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 scenarios relevant to AI platform engineering. Mock interviews with friends or using online platforms can help you feel more confident and ready to impress.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Platform Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the AI Platform Engineer role. Highlight your backend engineering, ML infrastructure, and any relevant projects that showcase your Python prowess.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role at Aries. Share specific examples of how you've built or integrated systems in the past, and how you can contribute to our mission of creating a robust AI platform.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they involve deploying or integrating AI-driven systems.
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 shows us you’re keen on joining our team!
How to prepare for a job interview at Aries Global
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, Kubernetes, and Terraform. Brush up on your experience with distributed systems and APIs, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've built or improved platforms, especially in AI or ML contexts. Highlight how you’ve tackled challenges in deploying or integrating systems, as this will demonstrate your hands-on experience and critical thinking.
✨Understand the Business Impact
Be ready to explain how your work as an AI Platform Engineer can drive business value. Think about how your contributions can enhance operational workflows or improve GTM strategies, and be prepared to share your vision for the future of the platform.
✨Collaborate and Communicate
Since this role involves working closely with various teams, practice articulating your thoughts clearly and concisely. Prepare to discuss how you’ve successfully collaborated across functions in past roles, as teamwork is key to building a successful platform.
