Lead frontend development for customer and partner onboarding products, shaping scalable architecture and delivering performant, data-driven experiences with React and modern web technologies.
Level-AI jobs
AI software for understanding support interactions and improving contact center performance.
18 open roles at Level-AI
Manage key client relationships and technical implementations for AI-powered customer support solutions, coordinating with internal teams, resolving issues, and identifying opportunities to expand client accounts.
Serve as the technical partner for enterprise customers, guiding AI platform adoption, resolving technical issues, translating customer needs into product feedback, and driving measurable value and long-term success.
Lead end-to-end customer deployments of AI agents and CX automation, translating business needs into production-ready workflows, integrations, and guardrails while improving measurable customer outcomes.
Lead Software Engineer shaping the technical roadmap and building scalable, low-latency distributed systems, while raising engineering standards, ensuring service reliability, and mentoring engineers.
Own reliability, infrastructure cost efficiency, and GPU throughput optimization across Kubernetes, cloud, and on-premise systems while enabling backend teams to manage their own cost and reliability budgets.
Coordinate renewal and upsell workflows by managing timelines, preparing account plans and order documents, maintaining forecasts and Salesforce data, and partnering with Account Management, Legal, and Revenue Operations.
Own strategic enterprise sales from prospecting and discovery through demos, pilots, proposals, negotiation, and close, building executive relationships and communicating the value of AI solutions to Fortune 1000 customers.
Design, build, and maintain backend products and features, shape system architecture, and deliver reliable APIs and real-time services for AI-driven enterprise applications used by contact center customers.
Research enterprise accounts, engage senior CX and contact center buyers through outbound calls and email, and turn effective outreach into qualified pipeline while partnering with sales and marketing.
Build and own Level AIโs revenue operations infrastructure, from forecasting, deal governance, and Salesforce routing to GTM AI agents, executive dashboards, and cross-functional growth projects.
Sr. Machine Learning Engineer (Speech) - AI (Bangalore/Noida Locations)
Develop and maintain scalable speech recognition systems, tackling transcription, diarization, and voice activity detection while experimenting with ASR models and techniques for large-scale applications.
Build and lead the SDR function by hiring and coaching a team, shaping prospecting processes and tools, and driving qualified enterprise pipeline through data-informed outreach.
Own end-to-end development of full-stack features for real-time AI products, building React interfaces, scalable backend services, APIs, and integrations that support Agent Assist workflows.
Build and deploy production-ready LLM agents and machine learning systems, improving retrieval, reasoning, and model performance while collaborating across teams to deliver AI features.
Principal Software Engineer โ Backend & Infrastructure - Noida / Bengaluru
Set technical direction for backend and ML infrastructure, architect high-throughput real-time systems, scale GPU and inference platforms, and improve reliability while mentoring engineers across teams.
Build and own production NLP systems using LLMs, from model training and evaluation to deployment, monitoring, and continual learning, while improving scalability and enabling agent reasoning capabilities.
Set technical direction for AI research across LLMs, speech understanding, and retrieval, and turn new methods into scalable production systems that power customer-facing capabilities.
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