Senior AI Engineer
Tasks
- Architect AI enabled DevSecOps pipelines
- Build and integrate AI microservices and APIs
- Define and track AI performance metrics
- Design and build LLM-powered applications
- Develop RAG architectures using mission data
- Ensure federal security data governance and AI policy compliance
- Establish prompt frameworks and chaining strategies
- Implement evaluation frameworks for output quality reliability drift
- Integrate AI into IT operations for closed loop automation
- Integrate GenAI mil and commercial LLMs into secure environments
- Orchestrate agent workflows with human in the loop controls
Perks/Benefits
- N/A
Skills/Tech-stack
AIOps | APIs | AWS | Anomaly Detection | Autogen | Azure | CI/CD | Cloud platform | CrewAI | DevSecOps | Go | Google Cloud | Google Cloud Platform | Incident Response | Java | JavaScript | Kubernetes | LLM | Langchain | Llamaindex | MLOps | Microservices | Observability | Prompt engineering | Python | RAG | SDLC | Security Scanning | Semantic Search | Vector Databases
Education
Roles
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