Staff AI Engineer

You will

• Lead the design and implementation of high-performance, scalable backend systems and application using TypeScript, Node.js, and relational databases such as PostgreSQL or MySQL
• Architect robust APIs and services that integrate seamlessly with AI/ML models and serve real-time or batch use cases
• Drive the adaptation and fine-tuning of off-the-shelf models (e.g., LLMs, classification models) for business-critical domain tasks in areas like healthcare, finance, or customer support
• Collaborate cross-functionally with ML engineers, product managers, and infrastructure teams to deliver end-to-end ML applications
• Own backend and MLOps architecture decisions to ensure long-term scalability, performance, and maintainability
• Set engineering standards, code quality expectations, and best practices for integrating ML models into production
• Mentor other backend and ML engineers, promoting growth and technical excellence across the team
• Evaluate and recommend technologies that support the AI platform’s evolution

You are:

• A technical leader with strong software engineering foundations and a track record of owning large-scale backend systems
• Adept at balancing hands-on coding with technical strategy, architectural design, and system-level thinking
• Experienced in backend development using Node.js, TypeScript, and SQL-based RDBMS
• Deeply familiar with deploying and adapting AI/ML models to production, especially fine-tuning foundation models for specific use cases
• Able to effectively communicate technical trade-offs with stakeholders and guide cross-functional alignment
• Committed to building resilient, observable, and secure systems in production environments
• Passionate about unlocking the value of machine learning in real-world applications, not just experimentation

You have:

• 7+ years of professional software engineering experience, with 2+ years in a staff or principal engineering role
• 3+ years of backend development experience using TypeScript and Node.js, with demonstrated ownership of production services
• 1+ years of experience applying machine learning or AI models, including fine-tuning pre-trained models (e.g., Hugging Face, OpenAI, or similar)
• Proficient in SQL, with hands-on experience using RDBMS like PostgreSQL or MySQL
• Experience designing, deploying, and scaling APIs and ML-backed services in cloud-native environments (AWS/GCP)
• Familiarity with MLOps practices, containerization (Docker), and orchestration tools (Kubernetes, Airflow, MLflow)
• A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field