Cinder is seeking an AI/ML engineer to architect and deploy production AI systems at scale. You'll contribute to the strategic vision for machine learning and AI at Cinder, collaborating with data and software engineers to build world-class AI capabilities that directly impact our product and business outcomes.
Requirements
- 5-7+ years of engineering experience with demonstrated hands-on knowledge of applying LLMs and agents in industry
- Experience at a high-growth startup building machine learning infrastructure from the ground up
- Demonstrated ability to take models from research/experimentation through production deployment at scale
- Fluency in Python and related AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.)
- Hands-on experience with LLMs and contemporary AI engineering patterns: RAG architectures, embedding models, vector databases, prompt engineering, and fine-tuning strategies
- Curious, systematic, and execution-oriented—you don't wait for perfect requirements and can navigate technical tradeoffs independently
- Strong foundation in MLOps: CI/CD for ML, model versioning, monitoring, and observability
- Strong technical background in AWS cloud architecture and automated infrastructure provisioning with Terraform
- Experience with agentic frameworks like langchain is a plus
Benefits
- Competitive salary
- Generous benefits
- 401k match
- Frequent in-person time to connect and innovate