AI/ML Engineer
Tasks
- Build production LLM agent features
- Collaborate with platform product and research teams
- Convert requirements into working code
- Develop inference services
- Develop retrieval pipelines
- Evaluate and monitor model performance
- Improve observability
- Integrate tools and APIs
- Optimize latency throughput cost reliability
- Orchestrate prompts and agents
- Perform code review and mentorship
- Write code and add tests
Perks/Benefits
- Company equity
- Companywide hack weeks
- ESPP
- Flexible work arrangements
- Hibernation duty
- Mental wellness programs
- Paid holidays and sick leave
- Paid parental leave
- Paid vacation time
- Paid volunteer time off
- Retirement or Pension Plan
- Wellness days
Skills/Tech-stack
AWS | Agent Orchestration | Airflow | Artificial Intelligence | Azure | Distributed Systems | Docker | GCP | Inference | Kafka | Kubernetes | LLM | Language Models | Large Language Models | Machine Learning | Observability | Prompt engineering | Python | REST APIs | Retrieval-Augmented Generation | Tool integration | Vector Databases
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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