Responsibilities
- architect comprehensive end-to-end AI systems
- lead deployment of AI systems into production environments with strong observability
- design scalable data ingestion architectures
- drive quantitative evaluation and continuous improvement of AI systems through establishment of evaluation frameworks
- mentor engineers at various levels through technical guidance
- foster a culture of responsible AI development that prioritizes ethics, transparency, and user benefit
Requirements
- over 7 years of experience in software engineering with a strong focus on applied AI/ML
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
- deep expertise designing and deploying production-grade generative AI systems
- strong technical proficiency in Python, including advanced language features and design patterns
- experience with modern web application frameworks, such as React and FastAPI
- strong knowledge of AI‑specific technologies, including vector databases, embedding models, LLM APIs, and orchestration frameworks
- established organization‑wide best practices for prompt engineering
Hard Skills
- AI systems architecture
- data ingestion architecture
- Python
- React
- FastAPI
- generative AI systems
- vector databases
- embedding models
- LLM APIsorchestration frameworks
Soft Skills
- mentoring
- technical guidance
- leadership
- communication
- fostering culture
- responsible AI development
- ethics
- transparency
- user benefit
- continuous improvement
Certifications & Qualifications
- Bachelor's degree in Computer Science
- Bachelor's degree in Engineering
- Bachelor's degree in Data Science
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