SR AI Engineer
Tasks
- Build and deploy LLM-powered applications
- Create LLM evaluation and validation pipelines
- Design and implement scalable architectures for LLM applications
- Develop agent based and multi agent systems
- Develop engineering standards for LLM based systems
- Develop hypotheses from research and industry advancements
- Implement vector database solutions
- Optimize CI CD pipelines and development workflows
- Perform exploratory data analysis and build visualizations
- Prototype backend and frontend components for AI concepts
- Provide technical leadership and mentorship to junior engineers
Perks/Benefits
- Access to educational materials for children
- Childcare assistance
- Dental insurance
- Discounts for postgraduate study
- Education incentives
- Fitness and Mental Health Platforms
- Health insurance
- Inclusive workplace culture
- Maternity leave
- Meal allowance
- Paternity leave
- Professional development support
- Remote-first work environment
- Travel discounts
- Wellness programs
Skills/Tech-stack
Agent systems | Backend Development | CI/CD | Data Analysis | Deep learning | Exploratory Data Analysis | Frontend Development | Git | LLM APIs | LLM Evaluation | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Software Engineering | Vector Databases
Education
N/A
Roles
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