AI/ML Engineer — Generative AI Mission Systems
Tasks
- Build LLM enabled application workflows
- Demonstrate prototypes and incorporate feedback
- Design prompts and system instructions
- Develop agentic AI components
- Develop retrieval augmented generation components
- Develop tests for AI enabled functionality
- Document AI designs workflows limitations and decisions
- Evaluate grounding reliability accuracy and usefulness
- Implement inference workflows
- Integrate AI capabilities with backend services
- Perform code reviews and technical reviews
- Support integration testing
- Support security remediation
Perks/Benefits
- 401k match
- Company holidays
- Company supported certifications
- Dental insurance
- Disability insurance
- Fitness reimbursement
- Home-office equipment
- Life insurance
- Medical insurance
- Paid time off
- Professional development opportunities
- Remote work support
- Vision insurance
- Weekly pay
Skills/Tech-stack
Agentic AI | Backend integration | Containerization | Cybersecurity | DevSecOps | Evaluation | Inference pipeline | Information Retrieval | Kubernetes | Language Models | Large Language Models | OpenShift | Prompt engineering | Retrieval-Augmented Generation | Secure Software | Secure Software Development | Software development | Test automation
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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