Senior FullStack Engineer (Noida, BLR, India)

LevelAI • Bengaluru • 1d ago

Why This Job is Featured on The SaaS Jobs

This Senior FullStack Engineer role sits at the intersection of SaaS and applied AI, focused on product workflows that operate in real time inside enterprise contact centers. Level AI is positioned as a post-seed, venture-backed SaaS company, and the technical scope reflects that: multi-tenant considerations, event-driven integrations, and user-facing interfaces where latency and reliability directly shape customer outcomes.

For a SaaS engineering career, the strongest signal here is breadth with production accountability. The stack spans modern web UI, service design, and data infrastructure, which mirrors how many SaaS teams ship end-to-end capabilities rather than isolated components. Experience building reusable front-end libraries, scalable APIs, and cloud-native deployments tends to transfer well across SaaS companies, particularly those selling to enterprises and operating complex integrations.

This role is best suited to engineers who prefer owning features from design handoff through deployment and iteration, and who enjoy balancing product UX with backend correctness. It will likely appeal to someone comfortable moving between React and Python or Node services, and interested in the practical constraints of real-time, customer-facing SaaS systems rather than purely internal tooling.

The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.

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