Senior AI/ML Full Stack Engineer
USD 130K-176K (estimate) Senior-level Full Time
Tasks
- Build RAG pipelines
- Build backend services and data integrations
- Build document ingestion workflows
- Build front-end user interfaces
- Create LLM safety guardrails
- Deploy and troubleshoot applications
- Design AI ML solutions with large language models
- Design CI/CD pipelines with Azure DevOps
- Develop REST APIs for AI services
- Implement authentication and authorization
- Implement semantic search with embeddings
- Maintain modular MLOps architecture
- Perform prompt engineering and LLM evaluation
- Set up production monitoring and observability
Perks/Benefits
Skills/Tech-stack
AWS | AWS Bedrock | Airflow | Authentication | Authorization | Azure | Azure DevOps | BigQuery | CI/CD | Cloud Run | Containerization | Data Privacy | Docker | Embeddings | GCP | Git | LLM Evaluation | Language Models | Large Language Models | Logging | MLOps | Machine Learning | Model Monitoring | NLP | Observability | OpenSearch | Prompt engineering | Python | Python API | REST APIs | Retrieval-Augmented Generation | SQL | SageMaker | Security | Semantic Search | Snowflake | Terraform | Vertex AI
Education
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