--- title: 'Senior Full Stack Engineer (Noida, BLR, India) at Level AI' canonical: 'https://feeny.ai/job/senior-full-stack-engineer-noida-blr-india-level-ai-noida-s90y6epzgz8v' type: 'job' last_seen: '2026-09-07' --- # Senior Full Stack Engineer (Noida, BLR, India) at Level AI - **Company:** Level AI - **Location:** Noida, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-06-08 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.lever.co/levelai/d3198817-960e-4625-9b06-418ca2e6ce4e ## Job description Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centers into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organizations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry. Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, you'll work on high-impact projects shaping the future of AI-driven enterprise applications alongside experts from Amazon, Facebook, Google, and more. At Level AI, expect a dynamic journey of fun, learning, and growth. Ready to redefine possibilities? Join us! Core Competencies Backend: Python (Django), Node.js (NestJS), TypeScript, REST APIs, GraphQL Frontend: React, JavaScript/TypeScript, HTML, CSS/SCSS, Redux, Ant Design Data: PostgreSQL/MySQL, MongoDB, Redis, Snowflake Infrastructure: GCP, Docker, Kubernetes, CI/CD Other: OOP, Data Structures & Algorithms, Caching, WebSockets, Multi-tenant systems, real-time AI-assisted workflows A self-starter and go-getter attitude for technology Your responsibilities at Level AI include, but are not limited to- - 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 ## Requirements - Education: B.E/B.Tech/M.E/M.Tech from Tier-1 engineering institutes, with relevant experience at a top technology company - Experience: 3-5 years of full-stack development - 2+ years of web application development - Strong proficiency in JavaScript/TypeScript, HTML, and CSS - Solid understanding of React and its ecosystem - Experience with backend frameworks such as Django, Node.js, or NestJS - Experience with relational databases such as PostgreSQL or MySQL - ## Experience with MongoDB or other NoSQL databases - ## Experience with Redis or similar caching systems - Strong product sense and ability to build reliable, user-focused enterprise applications Nice to Have: - ## Experience with GraphQL - ## Experience with Docker and Kubernetes - ## Experience with GCP services - ## Experience with Snowflake or other data warehouses - ## Experience with WebSockets and real-time features - ## Experience with multi-tenant or SaaS architectures - Experience building AI-enabled, agent-facing, or contact-center products ## About Level AI ## Company Overview - **One-liner**: Level AI is a customer experience platform that scores every customer interaction, deploys AI voice agents, and turns conversations into actionable insights for enterprise contact centers. - **Entity Type**: Private (Series C, $74.4M total funding) - **Headquarters**: Mountain View, California, United States (with an office in New Delhi, India) - **Founded**: 2018 - **Founders**: Not publicly available ## Core Business - **Primary industry**: Customer Experience (CX) Platform / AI-Powered Contact Center Software - **Target customers**: B2B, Enterprise (Fortune 500 healthcare, financial services, and retail environments) - **Mission or purpose statement**: To help enterprise contact centers automate quality management, assist and coach agents, and understand the voice of the customer at 100% coverage. ## Products & Services - **Quality Management**: Scores 100% of conversations across channels to standardize quality at scale. - **AI Virtual Agents**: Deploys AI voice agents for triage to resolution, automating complex workflows. - **Voice of the Customer**: Extracts insights from every interaction to inform product, operations, and strategy. - **Assist**: Provides real-time AI or manager help to agents during calls. - **Analytics 360**: Delivers customer and team intelligence dashboards. - **Screen Recording**: Monitors agents in real time. ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Annual Revenue of $15M (LinkedIn estimate); Total Funding of $74.4M - **Notable Investors/Partners**: Battery Ventures (led Series A & B), Eniac Ventures (led Seed), Adams Street Partners (led Series C). Customers include Wayfair, Smartsheet, Chime, Gusto, and SwissRe. - **Growth Signals**: 162 employees (+8.8% YoY); processes 4 trillion tokens and analyzes 1 billion+ customer interactions per year; serves enterprises with a combined $500B in market cap; LinkedIn followers grew +40.1% in the last year. ## Competitive Advantages - **Proprietary AI Architecture**: Uses seven task-specific models for customer experience that are up to 49x more cost-efficient, 4x faster, and with accuracy on par with frontier LLMs. - **Unified Intelligence Layer**: Every function (QA, coaching, automation, analytics) learns from the same customer conversation data, creating a continuous improvement loop. - **Enterprise-Grade Compliance**: ISO 27001, HIPAA, SOC2, PCI, and GDPR certified. - **High Product Satisfaction**: 4.8/5.0 product rating (199 reviews). ## Strategic Focus - **Deepening Enterprise Penetration**: Targeting high-volume, high-stakes customer operations in regulated industries (healthcare, financial services, retail). - **AI Model Development**: Continuing to build and refine domain-specific models rather than relying on general-purpose LLM wrappers. - **Global Expansion**: Growing engineering presence in India (Noida, Bangalore) while maintaining US headquarters. ## Why Work Here - **Impact & Ownership**: Employees take on big projects single-handedly and make a direct impact. The company "ships fast and owns the outcome." - **Cutting-Edge AI Work**: Engineers work on state-of-the-art NLP, speech, and machine learning problems at scale (4 trillion tokens processed per year). - **Growth Culture**: Described as "learning and growing…fast," with a focus on hiring exceptional talent. - **Remote/Hybrid Policy**: Some roles are listed as remote (e.g., Senior Backend Engineer - AI Agents), while others are on-site (Bay Area, California, or Noida/Bangalore, India). - **Compensation & Culture**: Employer rating of 3.8/5.0 (98 reviews), with work-life balance at 3.5, compensation at 3.6, and culture at 3.5. - **Open Roles**: Focus on senior engineering positions (ML, NLP, Backend, SRE) and finance. ## Sources 1. [thelevel.ai](https://thelevel.ai) 2. [thelevel.ai/careers](https://thelevel.ai/careers) 3. [thelevel.ai/about-us](https://thelevel.ai/about-us) 4. [linkedin.com/company/level-ai](https://www.linkedin.com/company/level-ai) 5. 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