SR AI Engineer
Tasks
- Architect and develop advanced AI applications
- Build and optimize LLM annotation validation and quality pipelines
- Co create solutions with product engineering and design
- Develop LLM solutions for user facing applications
- Evolve optimize development stack with CI CD and LLM infrastructure
- Identify opportunities for Generative AI and Machine Learning
- Implement evals LLM as a judge and evaluation metrics
- Mentor junior engineers
- Prototype and validate hypotheses with rapid experiments
- Provide technical leadership
- Stay current with new AI papers blogs and conferences
- Translate business needs into technical solutions using LLMs and data
Perks/Benefits
- Access to learning materials for children
- Air travel discounts
- Childcare support
- Dental insurance
- Education incentive
- Extended parental leave
- Health insurance
- MBA and Postgraduate discounts
- Meal allowance
- Pet Health Plan Partnership
- Transportation allowance
- Wellbeing partnership
Skills/Tech-stack
API Cost Optimization | Agent systems | CI/CD | Clean Code | Cost Optimization | Data Pipelines | Design Patterns | Evals | Evaluation metrics | Generative AI | Git | LLM Multimodal | LLM-as-a-Judge | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | Python | Single-Agent | Unit Testing | Vector Databases
Education
N/A
Roles
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