As a Software Engineer in the AI Engineering team, you will develop, deploy and maintain applications, AI/ML services (e.g. LLM services) and data pipelines that support production AI services at scale as well as provide development tooling for our data scientists and product engineers. You will be responsible for designing and developing them in a performant, reliable and maintainable manner while leveraging pragmatic unit, integration and performance testing.
Responsibilities
Influence the roadmap and development of applications and pipelinesDeploy and maintain performant AI/ML servicesDesign, develop, deploy and maintain high-quality code following engineering and testing best practicesWork with data scientists, product engineers and users to enable new AI capabilities
Requirements (Minimum Qualifications)
Background in quantitative field (e.g. Engineering, Computer Science, Mathematics, Physics etc) and 3 or more years of relevant work experienceProficiency in Python, Java or similar programming languagesPractical experience with databases such as RDBMS, NoSQL, vector scoresExperience in software deployment, including with tools for CI/CD and other deployment processesFamiliarity 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 requirementsExperience with deploying and maintaining AI/ML services (e.g. deploying LLM services via vLLM) for high reliability/throughput use cases