Responsibilities
- Influence the roadmap and development of applications and pipelines
- Deploy and maintain performant AI/ML services
- Design, develop, deploy and maintain high-quality code following engineering and testing best practices
- Work with data scientists, product engineers and users to enable new AI capabilities
Requirements (Minimum Qualifications)
- Degree in quantitative field (e.g. Engineering, Computer Science, Mathematics, Physics etc) and 3 or more years of relevant work experience
- Proficiency in Python, Java or similar programming languages
- Practical experience with databases such as RDBMS, NoSQL, vector scores
- Experience in software deployment, including with tools for CI/CD and other deployment processes
- Familiarity with containerization and container orchestration platforms (e.g. Docker, Kubernetes)
- Good understanding of domain-driven design, microservice patterns and service-oriented architectures
- Technical leadership experience such as mentoring other engineers or driving collaborations with other engineering teams
Nice to haves
- Experience with Python web frameworks (e.g. Flask, FastAPI)
- Experience in designing and maintaining data pipelines with high reliability/throughput requirements
- Experience with deploying and maintaining AI/ML services (e.g. deploying LLM services via vLLM) for high reliability/throughput use cases