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Software Engineer, AI Engineer (Applied​/Software), Full Stack Developer

Job in Vancouver, BC, Canada
Listing for: ODAIA Intelligence Inc.
Full Time position Listed on 2026-11-11
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Full Stack Developer, Backend Developer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 CAD Yearly CAD 110000.00 160000.00 YEAR

Job Description & How to Apply Below

About ODAIA
ODAIA (noun)
· o·da
· ia | oh-day-yeah: an Ancient Greek word referring to ōdē, the word for song and the root of melody, harmony, and orchestra. We chose it deliberately: the best commercial intelligence doesn’t just inform, it orchestrates.

ODAIA delivers AI-powered commercial intelligence for life sciences, unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. Our AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster.

Our Mission
Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI.

We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive.

What’s on Offer
We’re looking for a  Software Engineer t  to join our engineering team. You’ll work across the full stack to build and ship features that directly impact how pharma commercial teams engage with healthcare providers. You’ll work closely with senior engineers, product, and design to turn well-scoped requirements into shipped, working software, while growing your ownership over time.

How we build
We work AI-first. Coding agents like Claude Code do a large share of the hands‑on implementation, and engineers spend their time on problem framing, direction, review, and integration. You stay fully accountable for what ships. We want someone who is already moving beyond prompting a single agent: you orchestrate agents across multiple tasks and set up codebases so agents can do good work in them.

Where we’re headed
We want engineers who build real expertise in the systems they work on and use it to find new ways to change how the industry works.

What You Will Do

Own well-defined product capabilities end-to-end, from understanding the user problem through implementation, testing, deployment, monitoring, and iteration.

Work AI-first: use Claude Code and other coding agents across the development lifecycle, orchestrate agents across multiple tasks, structure codebases so agents work well in them, and review and integrate their output.

Build accessible, responsive React and Type Script experiences, including data-rich workflows and interfaces that handle large data sets.

Design and maintain APIs and backend services that connect ODAIA’s data, ML, analytics, and agentic capabilities to customer-facing products.

Build, deploy, and operate applications on AWS and Kubernetes, working across Snowflake, PostgreSQL, third-party APIs, and embedded engines like DuckDB and Data Fusion.

Ship incrementally with automated testing, CI, feature flags, and instrumentation that shows how features behave in production.

Take part in technical design, code review, and architecture discussions: assess designs, flag risks and trade-offs early, and propose improvements.

Work with product, design, and ML engineering, build life sciences expertise, and bring ideas that push the product forward.

What You Bring

3+ years of professional software development experience, with ownership across frontend and backend systems.

Hands‑on experience using coding agents as a primary way of building: giving clear context, directing work across multiple tasks, reviewing multi-file changes, catching bad assumptions, and owning the final result.

Strong React and Type Script, including browser fundamentals, state…
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