ML Developer Sr – Data Agents
Tasks
- Build evaluation testing and observability for agent outputs
- Build tooling and automation for releases integrations and operational workflows
- Design and build data-centric AI agents
- Design and implement microservices and APIs for agent workflows
- Develop agent architectures with tool use and multi step workflows
- Implement NL2SQL natural language to SQL solution
- Implement guardrails validation layers and sandboxed execution
- Improve agent accuracy with prompt engineering fine tuning and feedback loops
- Mentor peers through code and design reviews
- Optimize performance relevance and reliability of agent services
- Own critical areas of agent codebase and stewardship for shared libraries
- Support production operations incident learnings and reliability improvements
- Translate requirements into technical designs
- Use AI assisted development to increase engineering throughput
Perks/Benefits
- Professional growth
- Recognition programs
- Time away from work programs
- Volunteer days
- Wellness initiatives
Skills/Tech-stack
API Design | Alerting | Azure | Azure DevOps | CI/CD | Data Modeling | ELT | ETL | Embeddings | Fine Tuning | Git | GitHub | Kafka | Kubernetes | LLM Evaluation | Langchain | Langgraph | Microservices | Monitoring | Observability | Prompt engineering | Python | RAG | SLOs | SQL | Terraform | Vector Databases
Education
N/A
Roles
Developer | Engineer | ML Developer | Senior Software Engineer | Software Engineer
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