Jobs at Level AI

Lead front-end development of customer and partner onboarding/operations products using React and TypeScript. Architect scalable front-end systems, build performant visualizations, integrate with backend APIs, drive engineering best practices, mentor junior engineers, and deliver enterprise B2B features end-to-end with testing and analytics.

The Senior Backend Engineer will design and maintain features for the AI platform, focusing on backend solutions, architecture, and best practices while working in an agile environment.

Build and scale real-time backend systems for AI Agents, including orchestration, memory and context management, low-latency inference pipelines, eval frameworks, event-driven workflows, APIs (REST/gRPC), and production-grade observability, partnering with Applied AI and product teams to deploy multi-tenant, enterprise AI agent platforms.

As a Senior Machine Learning Engineer, you'll build LLM-powered agents, collaborate on experiments, support prompt engineering, and monitor AI features in production.

Lead Kubernetes and GPU-focused infrastructure: drive FinOps and right‑sizing, optimize on‑prem GPU throughput, build tooling and dashboards for backend teams, ensure reliability instrumentation, and own selected platform security workstreams.

Build and own end-to-end full-stack features for real-time AI-assisted agent workflows. Implement React front-ends, Django/NestJS backends, scalable APIs, integrations with cloud and event-driven pipelines, and reusable components for customer-facing enterprise products.

Seeking a QA Engineer to develop automation tests, collaborate cross-functionally, and enhance product quality at Level AI, focusing on AI-driven testing and performance validation.

Hire, train, and scale an SDR team to generate pipeline through outbound and inbound prospecting. Set KPIs, design sequences, run coaching and reviews, analyze performance, partner with marketing, own playbook and tooling, and develop SDR-to-AE career paths.

The Principal AI Research Engineer will lead research on AI initiatives, design and evaluate models, establish performance benchmarks, and mentor engineers.

As an AI Analyst, you'll drive product impact through quantitative research, conduct data analysis, optimize AI model performance, and generate business analysis reports.

The Finance Manager will oversee financial planning, revenue operations, accounts payable/receivable, and corporate governance, optimizing financial management in a software startup.

Manage end-to-end HR operations including onboarding, HRIS recordkeeping, payroll inputs, benefits and leave administration, employee engagement, performance appraisal coordination, training logistics, grievance resolution, and exit processes to ensure compliance and a positive employee experience.

Work with designers, PMs, and engineers to create user flows, wireframes, prototypes, and high-fidelity UI for enterprise AI workflows. Contribute to and improve the design system, conduct research and UX audits, participate in critiques, and iterate on designs based on feedback.

The Enterprise Account Executive will build relationships with Fortune 1000 companies, manage sales processes, and conduct product demonstrations to drive sales of Level AI's platform.

As a Senior Backend Engineer, you will design and maintain scalable software solutions, embrace innovation with AI tools, and ensure high-quality engineering practices.

Generate qualified outbound opportunities through research, cold calling, and targeted email campaigns. Craft compelling outreach, book meetings, and use data to optimize prospecting and pipeline development.

The Lead Software Engineer - AI Agents will design scalable backend systems for AI Agents, developing frameworks for multi-step reasoning and context management, optimizing for performance and cost-efficiency while collaborating with teams to implement best practices for observability and safety in AI systems.

As a Machine Learning Engineer at Level AI, you'll work on NLP challenges, develop scalable solutions, collaborate with teams, and innovate using cutting-edge ML techniques.

The Implementation Manager leads client onboarding and implementation processes, ensuring effective use of Level AI products to enhance customer experiences while maintaining key client relationships and project management.

As an Implementation Manager, you'll lead client onboarding, ensuring effective use of Level AI products while managing technical requirements, relationships, and metrics for success.