Live opening · Posted 12 days ago

Lead Python Engineer

Brainster Learning Inc · Greater Montreal Metropolitan Area (Remote)
Linkedin No
You are 12 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 12 days ago
CompanyBrainster Learning Inc
LocationGreater Montreal Metropolitan Area (Remote)
Work modeNo
SourceLinkedin
Listed12 days ago

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About the role

Description supplied by the original job listing.

Job description
Company Description
We are building a team of driven engineers, who are developing AI products for financial services both for in-house and external use. We are seeking a Lead Software Engineer ready to take on leadership and project management responsibilities. We need at least 5-10 years experience working in a startup environment with experience leading teams
Role Description
Candidates should have strong professional experience with modern web development environments, along with excellent problem-solving and debugging skills across systems. We seek candidates who can communicate fluently with junior team members and mentor them. This is not a purely managerial role and the candidate should be able code extensively with or without coding agents.
The ideal candidate blends deep technical expertise with product-focused skills, including a basic understanding of machine learning systems, especially LLMs, and strong capabilities in product design and user research to drive the development of thoughtful, AI-powered products. Experience with ML model deployment and LLM application development is a plus, as is strong DevOps experience.
We require high levels of self-direction and motivation. This is not a 9 to 5 job and will require working with a sense of urgency required in current market environment.
Qualifications
Strong foundation in Computer Science principles and Software Development methodologies
Extremely good at python development and scaling
Good communication skills
Ability to learn new technologies rapidly
Undergraduate or graduate degree in Engineering or Computer Science is required
Experience working with extremely large datasets is a plus
Benefits
Some perks of working with us include:
Work from home with some time spent in office either in Austin or Montreal
Competitive compensation
Equity
Application Process:
Our application process is easy and transparent:
30 minutes: Initial interview with HR
60 minutes : Conversation with CEO
60 minutes: Conversation contract terms

Work arrangement
No

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