Senior Full Stack Engineer (Noida, BLR, India)
- Level
- Senior
- Work type
- Hybrid · Noida
Not stated in the posting: salary, visa.
Open. First seen 2 October 2026.
What this role asks for
Particular to this role
CSS · Data Warehousing · GraphQL · HTML · MongoDB · MySQL · Nest.js · NoSQL
Rare in Level AI's other 13 open postings.
Standard for full stack roles
CI/CD · JavaScript · Node.js · PostgreSQL · Python · REST · React · TypeScript
Common in full stack postings at any company.
In most of Level AI's ads
LLM
Named in most of its open postings, whatever the role.
Read against Level AI's other open postings on this site.
The team: Engineering HIRES STEADILY
This role is one of 6 open in Engineering. 2 were posted in the last 30 days and the oldest in August: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
GCP (5 of 6), LLM (5 of 6), CI/CD (4 of 6), Django (4 of 6), Kubernetes (4 of 6), PostgreSQL (4 of 6), Python (4 of 6)
OTHER ROLES ON THIS TEAM
- Senior Frontend Engineer posted Oct 15
- Lead Software Engineer (Noida / Bengaluru) posted Sep 30
- Senior Site Reliability Engineer (Remote, India) EST posted Sep 17
- Senior Backend Engineer - EST , (Remote, India) posted Aug 26
- Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru posted Aug 12
From the team and dates on Level AI's own job board.
About the 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
- 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
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