DoD MLOps Software Engineer
Tasks
- Code agent behavior and decision logic
- Configure agent backend
- Customize AI agent training configurations
- Debug unexpected outcomes
- Define analytical problems with customers
- Evaluate agent outputs
- Identify shortcomings in DSL or agent architecture
- Maintain logging and monitoring for runtime uptime
- Tailor agent based simulation backends
- Test agent behaviors and document results
- Translate customer needs into requirements and acceptance criteria
Perks/Benefits
- Casual environment
- Dental insurance
- Disability insurance
- Free parking
- Gym allowance
- Health insurance
- Life insurance
- Paid Maternity Leave
- Paid paternity leave
- Paid time off
- Tuition reimbursement
- Vision insurance
- Work-life balance
Skills/Tech-stack
AWS GovCloud | Agent systems | Agent-Based Simulation | Agent-based | Behavior Trees | CI/CD | Configuration Management | Docker | Domain-specific language | Git | JSON | Kubernetes | LLM | Logging | Monitoring | Multi-Agent | Multi-Agent Systems | Planning | Python | Reinforcement Learning | Rule engines | SQL | Scripting Languages | Testing Frameworks | Tracing | YAML
Education
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