Senior AI Engineer
Tasks
- Build RAG pipelines
- Build data pipelines and training workflows
- Collaborate with product engineering and data teams
- Contribute to AI architecture decisions
- Debug issues and improve reliability and scalability
- Deploy containerized services to production
- Design and ship agentic systems
- Design build and deploy AI ML models end to end
- Develop evaluation frameworks
- Develop prompt injection defenses and PII handling
- Ensure AI safety and responsible AI
- Implement observability for LLM applications
- Monitor AI systems in production
- Optimize AI system costs with token economics caching and model routing
- Perform code reviews and design discussions
- Translate technical tradeoffs for non specialists
Perks/Benefits
- N/A
Skills/Tech-stack
AI frameworks | API Development | AWS | AWS Lambda | Agentic Systems | Amazon S3 | Amazon SageMaker | Caching | Data Pipelines | Docker | Embeddings | Generative AI | Injection Defense | Kubernetes | LLM Observability | Language Models | Large Language Models | Model Evaluation | Model routing | Observability | PII handling | Prompt injection | Prompt injection defense | Python | Quantization | RAG | Responsible AI | Token Economics | Training workflows | Vector Databases | Vector Search
Education
N/A
Roles
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