Senior Software Engineer - AI/ML
Tasks
- Apply responsible AI controls
- Build Retrieval Augmented Generation systems
- Build generative AI applications
- Build serverless AI systems
- Create CI/CD pipelines
- Create data pipelines
- Design evaluation frameworks
- Design hybrid search and reranking
- Develop AI agents
- Develop embedding pipelines
- Develop machine learning pipelines
- Implement alerting and incident response
- Implement infrastructure-as-code
- Implement prompt engineering strategies
- Implement vector search
- Integrate LLM models
- Manage model versioning and deployments
- Set up observability
- Test and monitor ML models
Perks/Benefits
- N/A
Skills/Tech-stack
API Gateway | AWS Cloud | AWS Cloud CDK | AWS CloudFormation | AWS Glue | AWS Lambda | AWS Step Functions | AWS X-Ray | Amazon API | Amazon API Gateway | Amazon Athena | Amazon Bedrock | Amazon CloudWatch | Amazon EventBridge | Amazon RDS | Amazon Redshift | Amazon SageMaker | Amazon SageMaker Feature Store | Amazon VPC | Aurora PostgreSQL | CI/CD | Databricks | Django | Docker | Embeddings | FastAPI | Feature Store | Flask | Hugging Face | Hybrid search | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | OpenSearch Serverless | PGVector | Prompt engineering | PyTorch | Python | Reranking | Retrieval-Augmented Generation | SQL | SageMaker Feature Store | Sagemaker Pipelines | Semantic Kernel | Step Functions | TensorFlow | Vector Search | X-Ray
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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