Senior AI Engineer
Tasks
- Build agentic workflows
- Collaborate on data pipelines and schemas
- Create evaluation harnesses
- Debug live model issues
- Design production AI systems
- Develop prompting and structured outputs
- Develop retrieval-augmented generation systems
- Evaluate models and vendors through POCs
- Implement tool use and orchestration
- Mentor engineers
- Optimize cost and latency
- Partner on AI product roadmap
- Set up LLM observability and monitoring
Perks/Benefits
Skills/Tech-stack
API Integration | AWS | AWS Bedrock | Agentic Workflows | Containers | Cost Optimization | Docker | Drift monitoring | Embeddings | Evals | Function Calling | LLM APIs | Language Models | Large Language Models | Latency optimization | Machine Learning | Observability | Prompt engineering | Python | Regression testing | Retrieval-Augmented Generation | Serverless architecture | Structured Output | System design | Tool orchestration | Vector Databases
Education
N/A
Roles
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