Lead AI Engineer
USD 123K-168K Senior-level Full Time
Tasks
- Architect distributed systems on AWS
- Build AI agents
- Build RAG pipelines
- Containerize applications and deploy on Kubernetes
- Design and implement REST APIs
- Design and implement generative AI solutions
- Develop Python backend services
- Develop prompt strategies
- Establish model evaluation frameworks
- Implement CI/CD pipelines
- Implement infrastructure-as-code
- Implement logging tracing and alerting
- Implement observability and monitoring
- Implement security governance and compliance
- Optimize latency and cost
Perks/Benefits
- N/A
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS CodePipeline | Aurora | Bedrock | CI/CD | CloudWatch | Distributed Systems | Docker | DynamoDB | ECS | EKS | Encryption | Event Driven | Event-driven architecture | EventBridge | FastAPI | Flask | Generative AI | GitHub Actions | GitLab CI | Horizontal Scalability | IAM | Injection prevention | JWT | JavaScript | Jenkins | Kubernetes | LLM | Lambda | Langchain | Langfuse | Langgraph | Langsmith | Microservices | NoSQL | OAuth 2.0 | OpenAPI Swagger | OpenSearch | Prometheus | Prompt engineering | Python | RBAC | RDS | REST APIs | React | Retrieval-Augmented Generation | S3 | SNS | SQL | SQL Injection | SQL injection prevention | SQS | SageMaker | Security groups | Step Functions | Terraform | Textract | TypeScript | VPC | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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