Senior AI Engineer
Tasks
- Build agentic workflows
- Collaborate on AI product roadmap
- Create evaluation frameworks
- Debug live model and workflow issues
- Deploy and maintain LLM APIs integrations
- Design production AI systems
- Evaluate vendors and models with POCs
- Implement retrieval augmented generation systems
- Mentor engineers on AI systems
- Optimize cost and latency
- Orchestrate tool use and multi step workflows
- Partner with data engineering on pipelines and data quality
- Set up observability for LLM systems
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | Amazon Bedrock | BigQuery | Call Support | Containers | Cost Optimization | DBT | Data Quality | Docker | Embeddings | Evals | Function Calling | LLM APIs | Language Models | Large Language Models | Latency Tuning | Machine Learning | Multi-step Workflows | Observability | On-Call | On-call support | Orchestration | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | STEP Workflows | SageMaker | Serverless | Snowflake | Structured Output | System design | Tool use | Vector Databases
Education
N/A
Roles
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