Software Developer, AI
Redwood Trust REIT INC - Ontario, Canada
Posted Apr 2, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Developer, AI Ontario, Canada OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leader in full stack automation fabric solutions for mission-critical business processes. With the first SaaS-based composable automation platform specifically built for ERP, we believe in the transformative power of automation. Our unparalleled solutions empower you to orchestrate, manage and monitor your workflows across any application, service or server - in the cloud or on premises - with confidence and control. Redwood's global team of automation experts and customer success engineers provide solutions and world-class support designed to give you the freedom and time to imagine and define your future. Get out of the weeds and see the forest, with Redwood Software. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As an AI Developer you will be responsible for leading high-impact AI initiatives across SDLC innovation and product research, setting technical direction, designing and evaluating experiments, and delivering prototypes and insights that shape Redwood's development practices and product strategy. Lead the design and execution of AI experiments across the software development lifecycle, including coding, testing, code review, documentation, and CI/CD processes Evaluate and recommend AI tooling and define scalable adoption patterns across development teams Establish frameworks to measure the impact of AI on developer productivity, code quality, and delivery velocity Identify inefficiencies in development processes
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Apply link verified; last checked Jun 13, 2026.
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