AI Platform Engineer

Descripción del trabajo

About Interactive AI

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.

What Youll Do

As an AI Platform Engineer at Interactive AI, you will own the end-to-end delivery of core platform featuresfrom low-level infrastructure code to polished user interfaces. Youll collaborate with product, data science, and DevOps to build scalable, secure, and maintainable solutions in a high-velocity environment.

• Design & Develop: Architect, implement, and maintain microservices and frontend components for our AI-agent management platform.
• Cloud Deployment: Deploy and manage containerized applications on GCP, AWS, or Azure, ensuring high availability and cost-efficiency.
• Infrastructure as Code: Define and maintain Terraform modules for networking, compute, and storage resources.
• Data Layer: Build and optimize data ingestion, warehousing, and caching layers using Postgres, ClickHouse, and Redis.
• Container Orchestration: Configure and maintain Kubernetes clusters, ensuring smooth scaling and rolling updates.
• APIs & Integrations: Design RESTful and GraphQL APIs for internal and external clients; integrate with third-party services.
• Frontend proficiency: Craft responsive, accessible UIs with React, TypeScript, and Tailwind CSS.
• Performance & Reliability: Implement monitoring, alerting, and logging to maintain system health and proactively address issues.
• Ownership & Collaboration: Take full ownership of features from conception through production; mentor junior engineers and drive best practices.

What Were Looking For

• 5+ years professional experience building and deploying full-stack web applications in production.
• Proficiency with Docker and containers; hands-on experience with Kubernetes.
• Strong experience with Redis, ClickHouse, and Postgres (schema design, query optimization).
• Advanced skills in TypeScript and React; familiarity with Tailwind CSS.
• Deep understanding of Terraform and IaC best practices.
• Expertise designing and consuming RESTful and/or GraphQL APIs.
• Proven ability to deploy and manage infrastructure on GCP, AWS, or Azure.
• Solid grasp of CI/CD pipelines, automated testing, and release management.
• Strong communication skills in English; able to articulate technical decisions clearly.

Nice-to-Haves

• Experience with machine learning infrastructure (e.g., Kubernetes operators for model serving).
• Familiarity with enterprise security and compliance (IAM, VPC, data encryption).
• Contributions to open-source projects or active participation in tech communities.

Who You Are

• 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.

What Youll Get

• Competitive base salary (from 60,000/yr to 100,000/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)

Interview Process

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

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

Were building a team of builders people who care about impact, quality, and growth. If thats you, lets talk [email protected]