🚀 Exciting Opportunity To Work With A Powerhouse Start-Up 🚀

Role: Artificial Intelligence Engineer

Industry: Infrastructure Automation & Orchestration

Location: Fully Remote (Portugal)

Compensation: EUR 75,000 + high-impact ESOPs with strong growth potential

About StackGuardian

At StackGuardian, we’re on a mission to revolutionize cloud orchestration by building a scalable, secure, and developer-friendly platform. Our solutions empower organizations to deliver reliable software faster—without compromising on security or compliance. If you’re passionate about platform engineering and love being in the thick of coding, design, and leadership, we’d love to talk to you!

What You’ll Do

• Lead by Example: Be a hands-on technical leader, contributing clean, performant code and architectural insights to our Python-based AI and backend systems.

• Build Scalable AI Systems: Design, implement, and optimize AI and ML pipelines, event-driven architectures, and high-throughput systems leveraging both cutting edge GenAI and classical ML techniques. You'll focus on creating custom solutions to enhance customer experiences within our platform and drive business value.

• Enable AI-Powered Products: Develop and maintain AI and ML flows and backend services that power intelligent agents and analytics features—from model creation and fine-tuning to performance optimization and feedback loops. You will work with large language models (LLMs) and tools like Pydantic AI and Langchain to build custom pipelines.

• Expand and Mentor: Help grow a team of AI and backend engineers. Review code, set engineering standards, and encourage continuous learning and technical excellence.

• Collaborate for Success: Work closely with Product, UX, frontend, and QA teams to deliver intelligent, data-driven features with a focus on security, scalability, and user experience.

Who We’re Looking For

• AI Engineering Expertise: 4+ years of experience building AI and data-heavy applications using Python (or Go), with strong knowledge of conversational AI solutions and classical machine learning. Proficiency with machine learning frameworks such as sklearn, PyTorch or Tensorflow and LLM agents frameworks such as smolagents, Pydantic AI or Google ADK.

• MLOps & Cloud Awareness: Experience with MLOps tools like MLflow or DVC, and familiarity with CI/CD pipelines. Familiarity with LLMOps tools such as Langfuse or Arize, focusing on traceability and observability. Proficiency with cloud platforms like Google Cloud Platform (GCP) or AWS, containerization (Docker/Kubernetes), and infrastructure as code (IaC) to support scalable deployments

• Leadership & Communication: Demonstrated ability to lead technical teams, make architectural decisions, and communicate clearly with both technical and non-technical audiences.

• Product Collaboration: Comfortable working alongside product teams to shape roadmaps, align on priorities, and deliver features iteratively.

• Problem-Solving Passion: A passion for using technology to solve real-world problems and improve communication between humans and machines.

Why Join Us

• Competitive Compensation: Attractive salary, plus equity options in an early-stage startup.

• Influential Role: Shape AI solutions that form the backbone of our platform, directly impacting how enterprises adopt secure cloud practices.

• Innovation Time: Dedicated hackathon and R&D days to explore your ideas and experiment with emerging technologies.

• Culture of Autonomy: Enjoy minimal bureaucracy, flexibility, and the freedom to bring your vision to life.

• Fast-Track Growth: Work alongside a dynamic leadership team, driving your professional growth in tandem with the company’s expansion.

Let’s shape the Future of Platform Engineering together!