This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Slate's product already uses AI across the stack - background removal, active speaker detection, auto-captioning, content suggestions, and image generation - but each integration was built ad hoc. We're looking for someone to level up our AI stack, turning a collection of API calls into an actual platform: a shared AI services layer that any team can build on without reinventing the plumbing every time. These services will power explosive growth in our capabilities and our customer base. You'll own the infrastructure that sits between our product and the models - orchestration across providers like OpenAI and Anthropic, prompt and pipeline management, evaluation and quality gating, cost controls, and observability. The goal is to make it trivially easy for any engineer at Slate to ship and evaluate AI-powered features that are reliable, fast, and cost-efficient in production. This is a senior backend role with an AI focus, not an ML research role. You won't necessarily be training models - but you will be building the systems that make external models useful at scale. What You'll Actually Do - Build Slate's AI services platform - Design and implement a shared services layer for AI capabilities across the product. - Own model integration and provider strategy - Build evaluation and quality pipelines - Optimize cost and performance at scale - Shape technical direction Qualifications - 7+ years of backend development, with strong TypeScript/Node.js skills - Experience building and operating AI/ML infrastructure or platform services in production - Deep understanding of LLM APIs, vision models, and media processing pipelines - Track record of designing systems for reliability, observability, and cost efficiency - Familiarity with prompt engineering, evaluation frameworks, AI output quality measurement and A/B testing Requirements - Built abstraction layers over multiple AI/ML providers with failover and routing logic - Designed APIs and services that other engineering teams consume as internal platform - Implemented caching, batching, or queue-based patterns to manage API costs at scale - Instrumented production AI systems with meaningful metrics beyond basic latency/errors - Worked with image generation, vision models, video analysis, or media processing in a product context - Bonus: Python experience for ML tooling, data pipelines, or model evaluation Benefits - Equity options - Unlimited PTO (we actually take it) - $200/month wellness stipend - Health insurance stipend - Home office budget Company Description Slate is the creative workspace for brand social teams. We help teams create and ship on-brand content fast with an all-in-one editor, built-in asset management, and seamless creative file workflows, backed by hands-on support from people who have done the job. Teams across top sports leagues and global brands like Amazon and Hoka use Slate every day to elevate their social presence.

• Develop and maintain new functionality; • Design and implement new services to support product features; • Proactively propose ideas for improving the product; • Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions; • Own your code in production by monitoring, debugging, and continuously improving service performance and reliability; • Write automated tests and follow CI/CD best practices to ensure high-quality deployments; • Participate in code reviews, technical discussions, and knowledge sharing across teams.

• Develop and maintain features across .NET and Salesforce codebases • Participate in Agile ceremonies including sprint planning, grooming, and standups • Collaborate with business stakeholders to define acceptance criteria • Work with other developers through code reviews and pair programming • Build and maintain REST APIs and data processing workflows • Contribute to integrations with internal systems and external partners • Participate in code reviews and help maintain code quality standards • Contribute to architectural discussions and advocate for clean, maintainable code • Follow security best practices when working with sensitive healthcare data

• Provide technical guidance and mentorship to the database development team • Design, develop, and optimize database systems to meet business requirements • Recommend improvements to the database architecture and design to enhance scalability, availability, and security • Collaborate with the DevOps team to automate database deployments and integrate with CI/CD pipelines • Create and maintain comprehensive documentation for database systems and processes • Stay updated with the latest database technologies and best practices, and implement improvements as needed • Monitor and optimize database performance, ensuring high availability and reliability • Work closely with software developers, business analysts, and other stakeholders to integrate database solutions with applications • Perform code reviews to support Database development • Perform database deployments • Optimize database queries and stored procedures for maximum efficiency and performance • Develop complex SQL queries, stored procedures, functions, triggers, and views to support business logic and application functionality • Perform data modeling, including designing schemas, tables, indexes, and relationships, for both transactional and analytical use cases • Provides support for troubleshooting and resolving database-related issues reported by application teams • Work closely with application developers to integrate database systems with applications and ensure efficient data flow • Configure and manage Azure Databases, including automated backups, replication, and high-availability options • Implement and manage database security, including encryption, access controls, and auditing, to meet industry standards and regulatory requirements • Ensure disaster recovery strategies are in place, including point-in-time restore and geo-replication for Azure SQL Database • Provide off-hours support when required • Provide on-site disaster recovery assistance when required