Lead AI Engineer
USD 123K-168K Senior-level Full Time
Tasks
- Apply security governance and compliance controls
- Architect distributed AWS systems
- Build AI agents with Langchain and Langgraph
- Build RAG pipelines
- Build containerized services with Docker
- Create infrastructure-as-code with Terraform
- Create logging tracing and alerting
- Design generative AI solutions
- Develop Python APIs with FastAPI and Flask
- Develop prompting strategies
- Implement CI/CD pipelines
- Implement model evaluation frameworks
- Orchestrate containers with Kubernetes
- Run A/B testing
- Set up observability and monitoring
- Write documentation for audits
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS CDK | AWS CloudFormation | AWS CodePipeline | AWS Lambda | AWS Step Functions | Amazon Bedrock | Amazon EC2 | Amazon ECS | Amazon EKS | Amazon ElastiCache | Amazon EventBridge | Amazon RDS | Amazon S3 | Amazon SNS | Amazon SQS | Amazon SageMaker | Amazon Textract | Aurora | Authentication & Authorization | B testing | CI/CD | Circuit Breaker | CloudWatch | DevOps | Disaster Recovery | Docker | DynamoDB | Encryption | FastAPI | Flask | GitHub Actions | GitLab CI | Health Checks | IAM | JWT | JavaScript | Jenkins | Kubernetes | LLM | Langchain | Langfuse | Langgraph | Langsmith | Language Models | Large Language Models | Logging | MLOps | Model Evaluation | Monitoring | NoSQL | OAuth 2.0 | OpenAPI Swagger | OpenSearch | Prometheus | Prompt engineering | Python | RAG | RBAC | REST API | React | Retry logic | SQL | Step Functions | Terraform | Tracing | TypeScript | Vector Databases
Education
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Learning Engineer | Machine Learning Engineer
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