Agentic AI Machine Learning Engineer
USA, DC, Washington (901 15th St NW), United States
USD 99K-225K Mid-level Full Time
Tasks
- Architect AI and machine learning systems
- Build model observation layers
- Build production-grade ML solutions
- Connect agents to APIs, cloud platforms, and databases
- Deploy and integrate ML models
- Design scalable service-based applications
- Design software deployment and integration
- Develop LLM and agent based applications
- Evaluate LLM performance
- Implement MLOps workflows
Perks/Benefits
- Dependent care
- Paid benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
Skills/Tech-stack
AWS | Azure | Deep learning | Docker | Grafana | Kafka | Kubernetes | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Llama CPP | Llamaindex | MLOps | Machine Learning | Phoenix | PyTorch | PydanticAI | Python | Reinforcement Learning | TensorFlow | VLLM
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | MLOps Engineer | Machine Learning Engineer
Regions
Countries
States
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