Level AI

Backend Engineer

• Innovate, build, and invent on the behalf of our customers. Plan, execute and maintain entire products/features which millions of customers will experience.
• Ability to design and code the right solutions starting with broadly defined problems.
• Drive best practices and engineering excellence.
• Work with other team members to develop the architecture and design of new and current systems.
• Work in an agile environment to deliver a high-quality Product.

Senior Backend Engineer

• Design and implement analytical platforms that provide insightful dashboards to customers.
• Develop and maintain data warehouse schemas, such as star schemas, fact tables, and dimensions, to support efficient querying and data access.
• Oversee data propagation processes from source databases to warehouse-specific databases/tools, ensuring data accuracy, reliability, and timeliness.
• Ensure the architectural design is extensible and scalable to adapt to future needs.

Senior Backend Engineer – Analytics

• Design and build scalable backend systems powering AI Agents that operate in real-time enterprise environments
• Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows)
• Build systems for agent memory, context management, and state persistence across interactions
• Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services
• Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reliability
• Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production
• Design and manage event-driven, asynchronous workflows for complex agent tasks
• Optimize systems for high throughput, low latency, and cost-efficient inference at scale
• Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities
• Partner closely with Applied AI / ML teams to productionize models and agent behaviours
• Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems
• Drive best practices in observability, monitoring, safety, and guardrails for AI systems
• Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms

Senior Backend Engineer – AI Agents

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 Backend Engineer

Senior Backend Engineer – Analytics

Senior Backend Engineer – AI Agents

Senior FullStack Engineer

HR Generalist

Principal AI Research Engineer