Senior AI Engineer
Tasks
- Build RAG pipelines with embeddings and vector databases
- Build data pipelines and training workflows
- Collaborate with product engineering and data teams
- Debug issues and improve reliability and scalability
- Design and deploy ML AI models end to end
- Develop APIs and integrate internal and third party services
- Implement AI safety and responsible AI practices
- Lead AI architecture decisions
- Maintain and monitor AI systems in production
- Optimize model performance accuracy and efficiency
- Own features end to end for production deployment
- Perform code reviews and contribute to design discussions
Perks/Benefits
Skills/Tech-stack
AI orchestration | API Development | AWS | AWS GenAI | Artificial Intelligence | Caching | Docker | Embeddings | Generative AI | Injection Defense | Kubernetes | LLM | LLM Observability | Machine Learning | Model Evaluation | Model routing | PII handling | Prompt injection | Prompt injection defense | Python | Quantization | RAG | Token Economics | Vector Databases
Education
N/A
Roles
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