Senior Software Engineer (AI Engineering)
Indexed description
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
- Background 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
- 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans.
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