DevOps/MLOps Engineer

InteractiveAI runs on two high-performance engines: Product Teams that craft and scale our Agentic IDE and Implementation Squads ship high-impact and domain-specific AI solutions. Depending on your craft and ambition youll join the team where you can create outsized valueand give you a transparent performance-based path to growth and rewards.

• Design & scale multi-tenant cloud-agnostic runtimes (Kubernetes/GPU clusters) supporting on-prem VPC and hybrid installs
• Automate end-to-end ML pipelinesdata ingestion fine-tuning (LoRA/QLoRA) evaluation and secure rolloutthrough robust CI/CD
• Partner with product engineers and client performance squads to ship custom agents from sandbox ( 5 days) to production (46 weeks) on tight SLAs.
• Automate infrastructure using Terraform Ansible or similar tools
• Implement and manage containerized workloads (Docker Kubernetes etc.)
• Ensure security compliance and data governance standards are met
• Troubleshoot production incidents and proactively improve system reliability

Were looking for someone who can build and help us scale a robust infrastructure for our agentic environment and its ecosystem of solutions with strong fundamentals clean execution and operational maturity.

• 3 years in DevOps Site Reliability or Infrastructure Engineering roles
• 3 years deploying and managing AI/ML production workloads on one or more major public clouds (e.g. AWS GCP or Azure)
• Experience in deploying robust resilient and distributed cloud solutions at scale
• Proficiency in containerization and orchestration (Docker Kubernetes)
• Experience building and managing CI/CD pipelines
• Familiarity with infrastructure-as-code tools (Terraform CloudFormation Pulumi)
• Strong scripting skills (Python Bash or similar)
• Experience with monitoring and logging stacks (e.g. Prometheus Grafana ELK)
• Strong communication and collaboration across cross-functional teams

• Experience deploying ML/AI workloads in production
• Exposure to model versioning tracking and reproducibility tooling (e.g. MLflow Weights & Biases)
• Experience implementing security practices in DevOps pipelines
• Familiarity with GDPR ISO 27001 or other regulatory/compliance frameworks
• Previous work in regulated or enterprise-grade environments is a plus

• Competitive base salary (up to 100000/yr) performance bonuses
• Future equity opportunity for high performers
• Health & wellness allowances
• Flexible work setup travel when needed (ideally Hybrid in Lisbon or Madrid)
• Private health insurance
• 25 days of holidays/paid time off (excluding local public holidays)

• Proactive & Resourceful: You take initiative to identify gaps and drive solutions without waiting for instructions.
• Accountable & High-Ownership: You treat our codebase and infrastructure as your own and you honor commitments.
• Entrepreneurial Mindset: You thrive in ambiguity embrace rapid change and deliver in a high-paced startup setting.
• Team Player: You collaborate effectively across disciplines give and receive feedback constructively and mentor others.

We keep our process focused and respectful of your time. Most candidates complete it in 23 weeks. Heres what to expect:

1. Intro Call 30 minutes with our team to align on fit and expectations
2. Take-Home Challenge A practical task based on real-world problems
3. Technical Interview Deep dive into the challenge technical experience and DevOps engineering
4. Cultural and Values Interview Discussion on motivation cultural and value alignment
5. Offer Final conversation and offer

InteractiveAI is a fast-growing startup on a mission to empower enterprises with fully managed AI agent lifecycles.
We are building the next generation of enterprise-AI solutions delivering an end-to-end Agentic IDE alongside an extensible ecosystem of agentic resources and solutions.

Our platform allows companies to orchestrate monitor evaluate deploy and improve AI agentsand soon fine-tune and own their own models.

We value autonomy speed and innovation and were building a world-class team to match. Our squads are lean focused and execution-driven.

If you thrive in high-performance environments and want to be part of a company that rewards transformational outcomes this is for you.