Job Description

TL;DR

Senior Full-Stack Developer (AI-First)

Montreal (Hybrid: Tues-Thurs in office) Own end-to-end delivery of enterprise-grade features powering Maxa's finance-grade AI products. Build scalable Python + SQL applications on Snowflake, integrate LLMs into production systems, and solve complex problems across architecture, AI, and system design.

Build the AI-First Applications Enterprises Rely On

Maxa, an AI-first company, is hiring a

Senior Full-Stack Developer

to design, build, and ship the core application features behind our audit-ready finance AI products.



You'll work across our Snowflake-based data ecosystem, integrate LLMs into production workloads, and architect systems that power CFO-ready answers in seconds. This is a high-impact role where you'll own critical features end-to-end--architecture, development, testing, deployment, and production quality.



Everything is being built from the ground up.

The Impact You'll Make

As a Senior Full-Stack Developer, you'll be a core individual contributor shaping Maxa's product capabilities. You'll partner closely with Product, Architecture, and Data teams to turn business needs into scalable, reliable software.



You'll be responsible for:

Owning complex features end-to-end

Architecting, building, testing, and shipping production software Translating business requirements into robust technical solutions Ensuring quality without relying on a dedicated QA team

Building scalable, data-driven applications

Developing Python + SQL features within our Snowflake-centric ecosystem Implementing performant backend logic and data-driven workflows Designing systems that convert raw data into actionable insights

Integrating AI into production systems

Leveraging LLMs, embeddings, and AI-first engineering patterns Applying prompt engineering, retrieval patterns, and model integrations Using AI-powered development tools to accelerate velocity and improve quality

Driving engineering excellence

Conducting thoughtful code reviews and promoting best practices Implementing automated testing and reliability safeguards Contributing to architectural decisions that shape our product foundation

What Success Looks Like

After a year at Maxa, we'll know you're the right hire if you're:

Consistently shipping complex features

with high quality and minimal oversight

Ramping up fast

on our AI + Snowflake technology stack

Taking on difficult, ambiguous work

and delivering like a senior IC

Collaborating with high-trust

giving and receiving feedback openly

Bringing high drive and energy,

pushing the product forward every week

Becoming a go-to engineer

for critical, technically challenging work


This role is about being a strong senior individual contributor who excels at solving complex problems and shipping high-quality software.

Y

ou're the Right Fit If You Have:

Core Skills

7+ years building impactful applications with strong engineering fundamentals Python mastery (or deep OOP expertise - TypeScript, etc.) Expert SQL + deep database understanding (Snowflake experience is a plus) Proven end-to-end feature ownership without QA dependency Experience integrating LLMs and AI capabilities into production systems Cloud experience (AWS, GCP, or Azure) Extreme ownership mindset--accountability for deliverables and quality Adaptability and comfort with fast-paced startup environments

Additional Technical Strengths

Snowflake Native App development experience Mentoring or pairing experience SnowPro Core certification Distributed systems/data pipelines (Spark, Kafka) DevOps or CI/CD optimization experience

This Position Is NOT for You If:

You require highly detailed specs - autonomy is essential here You prefer corporate stability over startup pace - we move quickly You're uncomfortable owning quality without a QA team You want predictable tasks over frequent, complex technical challenges

What Your Integration Will Look Like

Join our Software team under the leadership of our Engineering Leader, Raya, who champions ownership, measurable impact, and technical excellence.



From day one:

Week 1-2:

Deep dive into our Snowflake/Python/Streamlit stack with personalized mentoring and first contribution to production code

Month 1:

Complete ownership of a client feature with direct impact on enterprise users' business insights

Month 3:

Technical leadership of a complex project and active mentoring of at least two junior/intermediate developers

Recruitment Process

Initial screening

with Gen (30 min, GMeet) - ownership mindset assessment and technical background evaluation

Technical interview

(1.5 hours on-site) with Seb and Adrien, senior developers - live coding and whiteboard problem-solving exercises

Cultural fit interview

(1 hour on-site) with Raya (VP of Engineering)

Timeline:

~2-3 weeks from application to offer