CambioML develops AI-powered computer-use agents for automated data parsing, aggregation, cleaning, and review in large enterprises. The founding team includes former AI scientists and engineers from Google DeepMind, AWS, and Meta, and the company is backed by top venture firms, including Y Combinator, General Catalyst, and Hub71.
The role requires strong backend, infrastructure, and DevOps expertise. You'll be working with:
- AWS as the primary cloud provider
- FastAPI, Kubernetes, and Docker for monolithic services
- AWS microservices for serverless architecture
- Python as the primary programming language
- React and Next.js for frontend
- PyTorch for foundational model training and vllm for model serving
Key requirements:
- Bachelor's degree in Computer Science
- 2-5 years experience with cloud providers (AWS, Azure, GCP)
- 2-5 years Kubernetes experience for container orchestration
- 2-5 years in infrastructure automation and CI/CD
- Strong knowledge of data structures, algorithms, and OOP
Company culture emphasizes:
- Bias for Action: Making quick, reversible decisions
- Customer Obsession: Working backwards from customer needs
- Ownership: Long-term thinking and taking initiative
- Innovation: Expecting invention while seeking simplification
- Continuous Learning: Staying curious and exploring possibilities
This is a founding engineering role that will help shape the core infrastructure of an AI-focused enterprise software company backed by top investors. You'll have the opportunity to work with cutting-edge technologies while building scalable systems for data processing and machine learning.