Related skills
aws python ruby on rails containers llm📋 Description
- Own the ML and AI engineering layer end to end
- Build ML Ops platform: model registry, pipelines, deployment paths
- Create evaluation infra to catch regressions before prod
- Implement drift detection, online evals, cost and latency monitoring
- Support frontier APIs: prompt engineering, retrieval, structured generation
- Enable safe, scalable ML with rollouts and gradual deployment
🎯 Requirements
- 6+ years engineering with 3+ years ML platform/ML Ops in production
- Strong applied LLM experience: eval, RAG, prompt engineering
- Proficient in Python; comfortable with Ruby on Rails integration
- Cloud-native infra (AWS); containers and IaC
- Track record of good build-vs-buy decisions
- Clear communicator; explain model behavior to a PM and an engineer
🎁 Benefits
- Competitive pay
- Health, dental, vision insurance
- HSA contributions
- 401K with company match
- Unlimited PTO
- $100/month cell phone & internet reimbursement
- $1,000 home office stipend after 6 months
- Up to 12 weeks parental leave
- 12 holidays + EOY closure
- Remote-first in the U.S. with Denver office option
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!