Lead AI Engineer
Tasks
- Automate testing using LLM generated test cases
- Build agent orchestration pipelines with LLMs
- Build dashboards with automated evidence generation
- Build event driven and serverless AWS data pipelines
- Build feedback loops for self healing pipelines
- Design AI agents for data engineering workflows
- Develop autonomous systems for pipeline reverse engineering
- Embed agentic workflows into CI CD pipelines
- Enable anomaly detection for proactive data issue detection
- Generate transformation logic and validate outputs with LLMs
- Implement AI driven ingestion and transformation systems
- Implement AI powered data quality lineage and compliance monitoring
- Integrate AI decision layers with event driven architectures
- Integrate security scanning with AI assisted remediation
Perks/Benefits
- Enhanced medical benefits
- Family well-being benefits
- Hybrid work
- Paid time off
- Work-life balance programs
Skills/Tech-stack
AWS | AWS Glue | AWS Lambda | Amazon MSK | Amazon S3 | Amazon SQS | Bitbucket | CI/CD | Data Lineage | Data Quality | DynamoDB | Encryption | EventBridge | Harness | IAM | Jenkins | LLM | Machine Learning | Prompt engineering | PySpark | Python | SonarQube | Veracode
Education
N/A
Roles
AI | AI Engineer | Engineer | Lead | Lead AI Engineer
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