Applied AI / ML Lead Software Engineer — Employee Platforms
Tasks
- Build Agentic AI workflows
- Build CI/CD pipelines and automated testing
- Build data pipelines for feature and retrieval layers
- Contribute reusable AI engineering components
- Create MCP servers and tools
- Design LLM-powered applications
- Develop LLM evaluation strategies
- Ensure AI governance and compliance
- Implement model monitoring and SLOs SLAs
- Integrate AI capabilities with enterprise services
- Productionize models and AI services
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic AI | Apache Spark | Automated testing | CI/CD | Databricks | GitHub Actions | IAM | Infrastructure as Code | Jenkins | LLM Evaluation | Lakehouse | Language Models | Large Language Models | MCP | MLflow | Monitoring | Observability | PostgreSQL | PyTorch | Python | SLAs | SLO | Safety controls | Scikit-learn | Secure Development | Structured Output | TensorFlow | Terraform | Tool use | VDI | VDI delivery | Version control | “as-code”
Education
N/A
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