AI Engineer

Overall:

• You will work on high-impact & challenging problems in fintech space.
• You will work with tight deadlines & rapid iteration cycles.
• Our hope is that you will do the best work in your life (so far :))

Job Responsibilities:

• Architect, implement, deploy, and maintain large-scale, high-capacity AI systems. e.g.,

1. Work with AI scientists to reduce latency and improve robustness of solutions.
2. Build cool UI that stitches together various elements of AI systems: human-in-the-loop, collection of training data, display of inferences.
3. This can be an IC or leadership role. But either way, you will be writing lots of code as well.

Job Requirements:

• You should be a fast learner. You might specialize in 1 or 2 programming languages (eg, Python, Go, C++, Java), but can pick up new languages quickly.
• Must have designed, implemented, and deployed a medium-to-large-scale system: e.g., 1001000 queries per second.
• Experienced in asynchronous programming: e.g., multi-processes, multi-threading, Python AsyncIO.
• Experienced in distributed, loosely-coupled architecture: e.g., microservices, RESTful API design.
• Experienced in relational and NoSQL databases: e.g., PostgreSQL, MySQL, MongoDB, Redis.
• Experienced in message queues: e.g., RabbitMQ, Kafka.
• Experienced in backend development frameworks: e.g., FastAPI, Django, Flask.
• Experienced in container-based deployment: e.g., Docker, Kubernetes.
• Familiar with cloud platforms: e.g., AWS.