About the Role
We are looking for an AI Platform Engineer to design, build, and evolve the foundational platform that enables AI-powered products at scale.
In this role, you will focus on creating shared infrastructure, tooling, and services that make it easy and safe for teams to build, deploy, and operate AI systems in production. Your work will directly impact developer productivity, system reliability, and the long-term scalability of AI initiatives.
This is a highly technical role for engineers who enjoy platform thinking, strong abstractions, and enabling others.
Responsibilities
- Design and build platform-level services for AI and machine learning workloads.
- Create standardized pipelines for model deployment, inference, and monitoring.
- Develop internal tools and APIs that enable teams to ship AI features faster.
- Ensure reliability, scalability, and security of AI infrastructure.
- Define best practices and architectural patterns for AI systems.
- Collaborate with product, ML, and engineering teams across the organization.
- Continuously improve platform performance, cost efficiency, and usability.
Technical Stack
You will work with a modern platform-oriented stack:
AI and Machine Learning
- Integration of ML models and LLM-based systems
- Support for training, inference, and experimentation workflows
- Understanding of model lifecycle management
Platform and Infrastructure
- Python and backend services
- Docker and container orchestration
- Cloud infrastructure (AWS, GCP, or similar)
- CI/CD pipelines and infrastructure automation
Data and Observability
- SQL and NoSQL data stores
- Logging, metrics, and monitoring systems
- Model performance and drift monitoring
Requirements
- Strong experience in backend or platform engineering.
- Hands-on exposure to AI or machine learning systems.
- Solid understanding of distributed systems and scalability.
- Experience designing reusable infrastructure and tooling.
- Ownership mindset and attention to system quality.
- Clear communication and collaboration skills.
Nice to Have
- Experience with MLOps or AI platform tooling.
- Familiarity with vector databases and LLM workflows.
- Background in developer platforms or internal tooling.
- Experience in fast-growing or product-driven environments.
What We Offer
- Ownership of a critical AI platform used across products.
- High technical influence and long-term impact.
- A collaborative, engineering-driven culture.
- Competitive compensation and career growth.
- Flexible working hours and remote-friendly setup.
- Continuous learning in a rapidly evolving field.
Apply
If you enjoy building platforms that empower teams to ship AI at scale, we would love to hear from you.
Apply and help us build the foundation for the next generation of AI products.