DoD MLOps Software Engineer
Tasks
- Code agent behavior and decision logic
- Configure agent backend
- Configure agent runtime settings
- Customize AI agent training configurations
- Debug unexpected outcomes
- Define analytical problems
- Document uncertainties and limitations
- Evaluate agent outputs
- Identify DSL and agent architecture shortcomings
- Inspect traces
- Maintain logging and monitoring
- Tailor agent based simulation backends
- Test agent behaviors
- Translate customer needs into product requirements
- Write bug reports feature requests acceptance criteria
Perks/Benefits
- Casual environment
- Disability insurance
- Employer paid dental insurance
- Employer paid medical insurance
- Free parking
- Gym allowance
- Life insurance
- Paid maternity/paternity leave
- Paid time off
- Tuition reimbursement
- Vision insurance
- Work-life balance
Skills/Tech-stack
AWS GovCloud | Agent systems | Behavior Modeling | Behavior Trees | CI/CD | Configuration Management | Debugging | Docker | Experiment design | Git | JSON | Kubernetes | LLM | Logging | Model Evaluation | Monitoring | Multi-Agent | Multi-Agent Systems | Planning | Python | Reinforcement Learning | Rule engines | SQL | Scripting | Scripting Languages | Symbolic AI | Testing | YAML
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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