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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - **Company:** Ai, Inc - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $180,000.0 - $310,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Databases, Distributed Systems, Fraud Prevention and Detection, Python (Programming Language), PostgreSQL, Node.Js, Redis, Phishing, TypeScript, Large Language Models, Rate Limiting, Build Management, Core Data, Apache Kafka, Build Tools, Graphql, Web Api - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/software-engineer-distributed-systems-trust-safety-gamma-app-8757050 ## About the Role * 5+ years of backend engineering experience building scalable, high-traffic production systems * Strong systems thinking and experience building highly available web APIs * Strong proficiency in backend technologies (Node.js, Python, or similar) and databases (PostgreSQL, Redis) * Experience with event streaming systems (Redis, Kafka, or similar) and high-volume event pipelines * Hands-on experience implementing trust features like rate limiting, content detection, and fraud prevention * Track record shipping high-quality, complex applications under tight timelines * Product-minded approach with understanding of how technical decisions impact user experience and business metrics * Passion for security, user protection, and solving problems at scale Nice to have * Experience with AI/LLMs for content moderation, or familiarity with TypeScript, Prisma, Apollo GraphQL, or AWS * Experience building AI-assisted moderation pipelines or using frontier models for automated abuse detection and response * Familiarity with the evolving AI threat landscape - how generative models are being used for phishing, social engineering, and content abuse at scale * Experience with real-time collaboration systems ## Description You'll architect and scale the trust infrastructure that keeps 70M+ users safe while preserving the creative freedom that makes Gamma magical. This means designing distributed systems for real-time content scanning, anomaly detection, and rate limiting; helping define and evolve the core data model and storage systems behind abuse detection; and shipping the high-volume event pipelines and internal tools that let our support teams act quickly on threats. You'll join a small, high-impact team building the foundation for trust at scale. You'll work across databases, public APIs, and event infrastructure, balancing long-term technical investments with rapid shipping velocity. You'll collaborate across engineering, product, and design to define how Gamma approaches safety for the long term. Our team has a strong in-office culture and works in person 4-5 days per week in San Francisco. We love working together to stay creative and connected, with flexibility to work from home when focus matters most. What you'll do * Own detection and prevention systems for fraud, abuse, spam, and malicious content across millions of daily users * Design and build scalable trust infrastructure including rate limiting, content scanning, anomaly detection, and account security * Architect distributed systems, APIs, and high-volume event pipelines that power real-time abuse detection at Gamma's scale * Help define and evolve the core data model and storage systems that underpin trust and safety across the product * Build tools that empower internal support teams to investigate and act on suspicious or malicious activity * Leverage AI/LLM-based detection to stay ahead of AI-generated abuse - phishing, fraud, and malicious content that's increasingly indistinguishable from legitimate activity * Build automated triage and investigation workflows that let a small team operate at the scale of a much larger one * Investigate and resolve complex security incidents with limited context * Partner with engineering and product to balance security with user experience * Shape Gamma's long-term trust and safety strategy and technical roadmap ## Related Videos - [Reducing LLM Calls with Vector Search Patterns - Raphael De Lio (Redis)](https://www.wearedevelopers.com/videos/1714-reducing-llm-calls-with-vector-search-patterns-raphael-de-lio-redis) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) - [Accelerating Authentication Architecture: Taking Passwordless to the Next Level](https://www.wearedevelopers.com/videos/733-accelerating-authentication-architecture-taking-passwordless-to-the-next-level) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)