About the role
- As a Full-Stack Product Engineer at Ideogram, you’ll build the products that put generative AI directly into the hands of creators
- 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 ownership, user empathy, and the ability to move fast in an evolving AI landscape
- Pushes for quality through constructive code review and collaboration
- Experience building features where AI is core to the user experience (not just a backend detail)
- Familiarity with cloud infrastructure and modern web technologies
- Takes responsibility for outcomes, not just code—you care about whether users love what you build
- AI-Native Full Stack Execution
- Can design APIs and data models that support evolving product needs
- Self-starter who takes initiative to identify opportunities and drive them to completion
- Product & AI Mindset
- Deep curiosity about generative AI and genuine excitement about its potential to empower creators
- Bachelor’s degree in Computer Science, Engineering, related field, or equivalent practical experience
- Comfortable working with minimal direction in a fast-moving environment
- Ability to navigate ambiguity and turn open-ended problems into shipped features
- Collaboration & Communication
- Comfortable working across frontend and backend systems
- Can explain technical concepts to both engineers and non-technical stakeholders
- Operates with urgency. You ship incremental value and iterate based on real user feedback
- Use AI-native engineering tools (e.g., Claude Code, Codex, or similar) to meaningfully accelerate development velocity, debugging, and codebase comprehension
- Strong product intuition; you think about user problems first, then architect solutions
- Seeks feedback, acknowledges mistakes, and learns quickly
- Ownership & Execution
- Experience building and shipping full stack applications with real user impact
- We primarily use React and Python. Familiarity with the following technologies is a plus, but not required:
- OpenAPI & gRPC
- Kubernetes
- Redis & Memcached
- GCP, Google Bigtable, Google BigQuery, Google Spanner, Google Pub/Sub
- Docker & Terraform
- Cloudflare
- Track record of shipping consumer-facing AI products or features
- Experience integrating ML models into production applications (inference, prompt engineering, fine-tuning workflows)
- 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