Agentic AI Machine Learning Engineer
USA, DC, Washington (901 15th St NW), United States
USD 99K-225K Mid-level Full Time
Tasks
- Build model observation layers
- Build production-grade machine learning solutions
- Containerize machine learning services
- Deploy machine learning models
- Design AI systems
- Design scalable service-based applications
- Develop LLM-powered agents
- Evaluate LLM performance
- Implement MLOps pipelines
- Integrate models with APIs
- Integrate models with cloud platforms
- Integrate models with databases
- Orchestrate deployments with Kubernetes
Perks/Benefits
- Dependent care
- Health insurance
- Paid leave
- Professional development
- Remote work options
- Tuition assistance
- Work-life programs
Skills/Tech-stack
API Integration | AWS | Artificial Intelligence | Azure | Confluent | Database Integration | Deep learning | Docker | Grafana | Kafka | Kubernetes | LLM Evaluation | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Phoenix | PydanticAI | Reinforcement Learning
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
Regions
Countries
States
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