Senior AI Engineer
Tasks
- Add fallbacks and cost latency controls
- Build agentic workflows
- Build evaluation pipelines for LLMs
- Compare prompts models and configurations
- Conduct code reviews and architecture discussions
- Create technical documentation and shared templates
- Design data schemas and retrieval strategies
- Design generative AI services
- Drive quality safety reliability improvements
- Ensure data privacy and responsible AI practices
- Implement telemetry and observability
- Ingest and transform data
- Integrate LLMs with application APIs
- Monitor AI systems in production
- Participate in incident response
- Partner with product and data science stakeholders
Perks/Benefits
Skills/Tech-stack
APIs | Data Ingestion | Data Modeling | Data Pipelines | Data Transformation | Databricks | Experimentation | Generative AI | Information Retrieval | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Machine learning safety | Observability | Prompt engineering | Python | SQL | Snowflake | Telemetry | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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