About the job
About the Role
Join Saris-AI, an innovative applied AI startup based in San Francisco and Montreal, where we are revolutionizing the banking industry. Our mission is to address a $100 billion annual challenge, growing rapidly each quarter, as we explore the potential of advanced multi-turn AI systems.
We focus on automation challenges that require extensive contextual reasoning, tool integration with existing systems, and adherence to compliance requirements—problems that lack straightforward solutions.
Our successful deployment of real AI agents managing customer workflows has led to a burgeoning client base, and we are expanding quickly. We seek highly skilled technical professionals who aspire to make a significant impact from the outset.
Core Engineering Team
We are in search of a passionate Software Developer who excels in dynamic and ambiguous settings. You should have experience guiding products from the initial version to large-scale implementation, and a penchant for crafting sustainable, elegant systems.
Your Key Responsibilities
Conceive, develop, test, deploy, maintain, and enhance AI-driven software solutions tailored for the fintech sector.
Manage project timelines effectively, prioritizing tasks to deliver exceptional features.
Contribute to product and business strategies as a key player, influencing both technical frameworks and overarching goals.
Encourage and uphold best practices, including code reviews and testing.
Candidate Profile
Proven experience in backend/fullstack engineering, particularly within SaaS projects with significant impact.
Extensive knowledge of Python (Django, Flask, FastAPI), TypeScript (React), Docker, and cloud platforms (AWS/GCP).
Solid track record in designing, constructing, and optimizing distributed systems.
Strong foundation in both relational and non-relational databases (PostgreSQL, Redis).
Expertise in API design (REST, GraphQL) and deployment practices.
Preferred Qualifications
Experience building intricate workflow orchestration systems.
Familiarity with cloud infrastructure.
Background in creating integrations or data pipelines.
A passion for mentoring and developing team capabilities.

