AI Engineer
USA, DC, Washington (901 15th St NW), United States
R
USD 99K-225K Mid-level Full Time
Tasks
- Build evaluation systems
- Build scalable observable AI services
- Conduct incident response and debugging for production AI
- Deploy and monitor AI services
- Design and deliver production-grade AI systems
- Design secure scalable AI solutions
- Implement observability for AI pipelines
- Manage enterprise data ingestion and retrieval
- Optimize AI system performance
- Own RAG pipelines
- Perform prompt engineering
Perks/Benefits
- Dependent care
- Disability insurance
- Financial benefits
- Health benefits
- Life insurance
- Paid leave
- Professional development
- Retirement benefits
- Tuition assistance
- Work-life programs
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS Secrets | AWS Secrets Manager | Amazon CloudWatch | Amazon ECS | Amazon EKS | Amazon IAM | Amazon S3 | Amazon SageMaker | Async workflows | Automated Evaluation | Caching | Chunking | Data Leakage Prevention | Data leakage | Datadog | Embeddings | Faiss | FastAPI | Flask | Function Calling | Guardrails | Human evaluation | Hybrid search | Jailbreak Resistance | LLM-as-a-Judge | Langchain | Langgraph | Language Models | Large Language Models | Leakage prevention | Llamaindex | Node.js | OpenSearch | OpenTelemetry | Performance optimization | Pinecone | Prompt design | Prompt injection | Redis | Regression testing | Responsible AI | Retrieval-Augmented Generation | Secrets Manager | Secure prompt design | Tool-Calling | Vector Search | Weaviate
Education
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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