Shopify for funds . Our mission is to make launching and managing investment funds as simple as starting an online store. The platform combines AI, automation, and fund infrastructure to help the next generation of managers build institutional-grade funds — faster, cheaper, and smarter. We’re an established, profitable company ($10M+ / yr) now entering hypergrowth with our AI-native platform. This role is an opportunity to join early, own core systems, and shape a product redefining how Wall Street operates.
The Role
We’re looking for a
Senior Backend / AI Engineer
to architect and scale the backbone of Fund Launch AI.
You’ll work closely with our AI and product teams to take our platform from MVP → enterprise-ready — building everything from agentic workflows to real-time data infrastructure.
This is a high-impact, high-ownership role where you’ll help architect the foundation of a platform designed to serve thousands of fund managers and billions in assets.
What You’ll Do
Architect & build
scalable backend systems and APIs using Python.
Design data pipelines
for ingestion, transformation, and storage (Databricks, Spark, AWS).
Integrate AI models
and agentic workflows into production environments.
Own infrastructure
— applying DevOps and MLOps best practices for reliability and scale.
Collaborate cross-functionally
with AI, frontend, and product teams to ship fast and iterate intelligently.
Shape technical direction
and make key decisions on architecture, tooling, and scalability.
What We're Looking For
4+ years of experience
in backend software engineering.
Deep expertise in
Python
and its frameworks.
Proven experience with
data engineering
and ETL/ELT pipeline development.
Hands-on expertise with
Databricks , Spark, and big data technologies.
Experience with
machine learning frameworks
(e.g., scikit-learn, TensorFlow) and
MLOps practices
is a strong plus.
Strong command of
AWS infrastructure components
(e.g., EC2, S3, RDS, Lambda) and modern DevOps practices.
Additional Details
Seniority level : Mid-Senior level
Employment type : Full-time
Job function : Engineering and Information Technology