AI Engineering Lead

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.,

Work with AI scientists to reduce latency and improve

robustness of solutions.

Build cool UI that

stitches together various elements of AI systems :

human-in-the-loop, collection of training data, display of

inferences.

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.,

100~1000 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.

Bonus : has had team management

experience : e.g., planning sprints, managing schedules for features

and bugs.