Senior GenAI Engineer
Tasks
- Address security vulnerabilities and comply with DoD cybersecurity standards
- Apply prompt engineering strategies
- Architect full stack AI features with API integrations
- Build RAG pipelines for document processing
- Build and maintain full-stack web applications
- Design and develop AI enabled features for PPBE applications
- Develop machine learning models for forecasting and anomaly detection
- Document technical implementations and stay current with AI and ML developments
- Implement LLM observability and responsible AI guardrails
- Implement agentic workflows for multi step budgeting tasks
- Integrate AI LLM APIs into applications
- Participate in code reviews and CI/CD pipelines
Perks/Benefits
- Continuing education
- Flexible time off
- Healthcare
- Learning and development resources
- Retirement benefits
- Wellness benefits
Skills/Tech-stack
.NET | AWS | Agno | Amazon Bedrock | Anthropic API | Azure | C# | CI/CD | Containerization | CrewAI | Docker | Embeddings | Feature Engineering | Few-Shot Learning | Few-shot | GCP | Git | Haystack | JavaScript | LLM orchestration | Langgraph | Language Processing | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Node.js | NumPy | OpenAI API | Pandas | Prompt engineering | Python | RAG | REST APIs | React | Retrieval-Augmented Generation | Scikit-learn | Supervised Learning | System prompts | TypeScript | Unsupervised Learning | Vector Databases
Education
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