Software Engineer

Ideogram • Toronto, ON

14d • Onsite

About The Position

As a Software Engineer at Ideogram, you'll build the products that put generative AI directly into the hands of creators, and build the infrastructure that will allow us to accelerate model development. You'll work across the entire stack, from crafting delightful user experiences to optimizing backend systems that serve millions, with a relentless focus on shipping features that users love. We're looking for someone who combines product instinct with strong technical ownership, user empathy, and the ability to move fast in an evolving AI landscape.

Requirements

• Deep curiosity about generative AI and genuine excitement about its potential to empower creators.
• Ability to navigate ambiguity and turn open-ended problems into concrete technical direction.
• Knowing when to add structure and when to keep things simple.
• Keeping unnecessary complexity out of the system.
• Bridging the gap between product intent and technical reality.
• Helping others get value from AI tools without overengineering.
• Experience building and shipping software with real user impact.
• Comfortable working across frontend and backend systems.
• Familiarity with cloud infrastructure and modern web technologies.
• Can design APIs and data models that support evolving product needs.
• Use AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehension.
• Self-starter who takes initiative to identify opportunities and drive them to completion.
• Operates with urgency. You ship incremental value and iterate based on real user feedback.
• Comfortable working with minimal direction in a fast-moving environment.
• Takes responsibility for outcomes, not just code, you care about whether users love what you build.
• Can explain technical concepts to both engineers and non-technical stakeholders.
• Seeks feedback, acknowledges mistakes, and learns quickly.
• Pushes for quality through constructive code review and collaboration.
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent practical experience.

Nice To Haves

• Experience integrating ML models into production applications (inference, prompt engineering, fine-tuning workflows).
• Track record of shipping consumer-facing AI products or features.
• Contributions to design systems, component libraries, or developer tooling.
• Experience with experimentation frameworks and feature flagging.
• Familiarity with real-time systems or high-throughput applications.
• Familiarity with OpenAPI & gRPC.
• Familiarity with Kubernetes.
• Familiarity with Redis & Memcached.
• Familiarity with GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub.
• Familiarity with Docker & Terraform.
• Familiarity with Cloudflare.

Responsibilities

• Build products that put generative AI directly into the hands of creators.
• Build the infrastructure that will allow us to accelerate model development.
• Work across the entire stack, from crafting delightful user experiences to optimizing backend systems that serve millions.
• Ship features that users love.
• Navigate ambiguity and turn open-ended problems into concrete technical direction.
• Keep unnecessary complexity out of the system.
• Bridge the gap between product intent and technical reality.
• Help others get value from AI tools without overengineering.
• Build and ship software with real user impact.
• Work across frontend and backend systems.
• Design APIs and data models that support evolving product needs.
• Use AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehension.
• Take initiative to identify opportunities and drive them to completion.
• Ship incremental value and iterate based on real user feedback.
• Work with minimal direction in a fast-moving environment.
• Care about whether users love what you build.
• Explain technical concepts to both engineers and non-technical stakeholders.
• Seek feedback, acknowledge mistakes, and learn quickly.
• Push for quality through constructive code review and collaboration.

Benefits

• Competitive compensation and equity designed to recognize the value and impact of your contributions to Ideogram’s success.
• 4 weeks of vacation to recharge and explore.
• Comprehensive health, vision, and dental coverage starting on day one.
• RRSP/401(k) with employer match up to 4% to invest in your future from the moment you join.
• Top-of-the-line tools and tech to fuel your creativity and productivity.
• Steps from Union Station and the PATH, with daily in-office lunches and dinners.
• Autonomy to explore and experiment — whether you’re testing new ideas, running large-scale experiments, or diving into research, you’ll have access to compute/resources you need when there’s a clear business or creative use case.
• A culture of learning and growth, where curiosity is encouraged and mentorship is part of the journey.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level