AI Engineer
Cinder
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • 🇺🇸 United States
Visit company websiteSalary
💰 $200,000 - $250,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSCloudKerasPythonPyTorchTensorflowTerraform
About the role
- Own the complete lifecycle of large language model implementation: from data preparation and fine-tuning through rigorous evaluation and production deployment.
- Develop automated evaluation frameworks that continuously assess model accuracy, identify edge cases, and quantify improvements across iterations.
- Work directly with product managers and engineers to integrate AI as a core product capability.
- Shape our AI roadmap by staying current with industry developments, evaluating emerging techniques, and making pragmatic adoption decisions.
- Design and implement low-latency, high-throughput, cloud-based AI/ML systems capable of handling thousands of requests per second
- Build the foundational infrastructure - model serving, monitoring, deployment pipelines, and automated testing frameworks - that enables rapid experimentation and iteration while maintaining production reliability.
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
- 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
Benefits
- Competitive salary
- Generous benefits
- 401k match
- Frequent in-person time to connect and innovate
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
large language modelsdata preparationfine-tuningmodel evaluationautomated evaluation frameworkscloud-based AI/ML systemsmodel servingautomated testing frameworksPythonMLOps
Soft skills
collaborationpragmatic decision-makingadaptability