Senior AI Engineer
Tasks
- Architect scalable AI applications with LLMs and RAG
- Build agentic workflows
- Build generative AI applications
- Build predictive machine learning models
- Conduct technical enablement workshops and guidance
- Design production ready AI systems
- Develop backend services and APIs
- Implement prompt engineering and evaluation frameworks
- Integrate AI applications with enterprise data systems
- Own AI lifecycle data engineering feature development training evaluation deployment monitoring
- Perform multi agent orchestration
- Provide responsible AI governance alignment
Perks/Benefits
- AI experimentation focus
- Career growth
- Exposure to global enterprise clients
- Inclusive collaborative culture
- Innovation and learning
- Remote-friendly work environment
Skills/Tech-stack
API Development | Agent systems | Backend Development | CI/CD | Cloud Platforms | Feature Engineering | Generative AI | LLMOps | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Predictive Modeling | Prompt engineering | Python | RAG Pipelines | Retrieval-Augmented Generation | Testing | Version control
Education
N/A
Roles
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