Senior Full Stack Engineer (Noida, BLR, India)
Level Ai · Noida · onsite · Posted 68d ago
Not disclosed3–5 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
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
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
- 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
- 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
- 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
Sourced from foundit
Skills
GraphQLDockerKubernetesPostgresqlWebSocketnestjsgoogle cloud platformredisDjango FrameworkHTMLJavascriptCSSNode.JsMongoDBTypescriptMySQLReact.JsSnowflake
About Level AI

Level Ai
Software Product
51-200
employees
2018
8 years old
Mountain View, California
United States
About
Level AI specializes in voice AI technologies, enhancing productivity and customer engagement through automated solutions in sales and service sectors.
Industries
Software Product
Employee ratings
10 reviews
2.4/ 5
Culture
2.4
Career growth
2.5
Work-life
2.4
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