Level AI

Full-stack Engineer

• Own end-to-end development of features and tools for Agent Assist workflows
• Build web interfaces for real-time, customer-facing AI products
• Turn designs and wireframes into production-ready full-stack code
• Develop features using React and backend services such as Django and NestJS
• Build reusable components and shared front-end libraries
• Design and implement scalable APIs and service integrations
• Integrate with cloud services and event-driven pipelines to support real-time assistance

Senior FullStack Engineer

Human Resources

• Oversee end-to-end employee onboarding and orientation, ensuring timely completion of documentation and smooth integration into the organization
• Maintain accurate and up-to-date employee records in HRIS systems (e.g., Rippling), ensuring data integrity and compliance
• Administer payroll inputs, benefits, and leave management, coordinating with insurance brokers and ensuring accuracy
• Drive employee engagement initiatives, including milestone recognition programs and wellness activities, to foster a positive workplace culture
• Serve as the first point of contact for employee queries and grievances, providing timely resolution and support
• Serve as a culture champion, promoting organizational values, inclusion, and a collaborative environment
• Coordinate performance appraisal cycles, feedback processes, and employee engagement surveys to support continuous improvement
• Assist in training and development initiatives, including scheduling, logistics, and tracking participation
• Manage exit processes, including conducting exit interviews, preparing documentation, and ensuring smooth full-and-final settlements

HR Generalist

AI Research Scientist

• Define and drive the research roadmap for core AI capabilities spanning LLMs, ASR/speech understanding, retrieval-augmented generation, and agentic systems.
• Design, train, fine-tune, and evaluate state-of-the-art models, taking them from prototype to robust, production-grade systems.
• Lead the architecture of scalable training and inference pipelines that operate reliably on real customer-scale data.
• Establish rigorous evaluation frameworks, benchmarks, and quality bars for model performance, safety, and reliability.
• Partner closely with product, platform, and ML engineering teams to ship research into customer-facing features.
• Mentor senior and mid-level engineers, set technical standards, and act as a force multiplier across the AI org.
• Stay ahead of the field, evaluate emerging techniques, and represent Level AI's technical work externally where appropriate.

Senior FullStack Engineer

HR Generalist

Principal AI Research Engineer