Lead AI Engineer
Tasks
- Administer LLM API gateway platform
- Architect enterprise AI applications
- Build MCP servers for enterprise data integration
- Collaborate with business units and data scientists to identify AI opportunities
- Conduct code reviews and set technical standards
- Design and build AI agents
- Develop REST APIs for AI capabilities
- Develop and deploy LLM powered systems
- Evaluate and onboard foundation models
- Implement retrieval-augmented generation
- Lead mentor and manage AI engineering team
- Manage vector databases for semantic search
- Present AI strategy to senior stakeholders
- Troubleshoot AI model serving and API issues
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS EKS | AWS Lambda | AWS SageMaker | Access Control | Amazon Bedrock | Amazon Bedrock AgentCore | Amazon S3 | Anthropic API | Bedrock AgentCore | CI/CD | CrewAI | Databricks | Dataiku | Distributed tracing | Docker | FastAPI | Kubernetes | LLM Gateway | Langchain | Langgraph | Logging | Milvus | Model Orchestration | Model routing | Monitoring | Multi-model | Multi-model orchestration | NoSQL | Observability | OpenAI API | OpenAPI | Postgres | Prompt engineering | PyTorch | Python | RAG | REST API | Rate Limiting | Redis | Retrieval-Augmented Generation | Swagger | TensorFlow | Terraform | Vector Databases
Education
Roles
AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
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