Software Engineer

Join Ideogram as a Software Engineer and be at the forefront of generative AI technology. You'll work across the entire stack, from user experience to backend optimization, with a focus on delivering features that users love. Ideal candidates will have a strong technical background, product instinct, and a passion for AI. Benefits include 4 weeks of vacation, comprehensive health coverage, and a supportive work environment.

• Concevoir et développer des produits qui intègrent l'IA générative pour les créateurs.
• Travailler sur l'ensemble de la pile technologique, de l'expérience utilisateur à l'optimisation des systèmes backend.
• Assumer la responsabilité des résultats, pas seulement du code, et veiller à ce que les utilisateurs aiment ce que vous construisez.
• Bridging the gap between product intent and technical reality
• Keeping unnecessary complexity out of the system
• Helping others get value from AI tools without overengineering
• 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
• Familiarity with cloud infrastructure and modern web technologies
• Use AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehension
• Can design APIs and data models that support evolving product needs
• Comfortable working across frontend and backend systems
• Experience building and shipping software with real user impact
• Takes responsibility for outcomes, not just code, you care about whether users love what you build
• 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
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent practical experience
• Seeks feedback, acknowledges mistakes, and learns quickly
• Pushes for quality through constructive code review and collaboration
• Can explain technical concepts to both engineers and non-technical stakeholders
• 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