Why This Job is Featured on The SaaS Jobs
Level AI sits in a high-impact corner of SaaS: AI-native platforms built for enterprise customer operations. A FullStack Engineer role here maps to a product category where usability, reliability, and data-driven workflows intersect, especially as LLM-enabled features move from demos into day-to-day tooling. The stack signals a modern SaaS application surface, spanning React UI, API layers, and cloud services that typically underpin multi-tenant products.
For a SaaS-focused engineering career, this role offers broad exposure to how product capabilities are shipped end to end. Working across web interfaces, shared component libraries, and service APIs builds transferable skill in designing boundaries between frontend and backend, maintaining developer velocity in a monorepo, and supporting event-driven patterns with managed cloud primitives. Experience with relational and non-relational stores, caching, and CI/CD also aligns with common scaling and operability needs in subscription software.
This position is best suited to early-career engineers who prefer owning features across the stack rather than specializing narrowly. It will fit professionals who enjoy translating designs into production code, collaborating across product and engineering, and iterating on platform foundations like APIs, data access, and deployment workflows within a SaaS environment.
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.
About the Role : As a critical member of the team, you'll work with modern technologies and help shape AI-driven enterprise applications. You'll collaborate with people who have worked at Amazon, Facebook, Google, and other leading tech companies. At Level AI, you'll learn, grow, and contribute to our mission.
Core Competencies
Backend: Python (Django), Node.js (NestJS), TypeScript, REST APIs, GraphQL Frontend: React, JavaScript/TypeScript, HTML, CSS/SCSS, Redux, Ant Design Data: Relational (PostgreSQL, MySQL), Non-relational (MongoDB), Redis, Snowflake Infrastructure: GCP (Pub/Sub, Cloud Storage), Docker, Kubernetes, CI/CD (Jenkins) Other: OOP, Data Structures & Algorithms, Caching, WebSockets, Multi-tenant systems
\n
Responsibilities- Own end-to-end development of features and tools
- Build web interfaces for customer-facing products
- Turn designs and wireframes into production-ready full-stack code
- Develop features using React and backend services (Django, NestJS)
- Build reusable components and shared front-end libraries
- Design and implement RESTful APIs and GraphQL interfaces
- Work across a pnpm monorepo with shared packages and services.
- Integrate with GCP services (Pub/Sub, Storage) and event-driven pipelines
Requirements- Education: B.E/B.Tech/M.E/M.Tech from Tier-I engineering institutes, with relevant experience at a top technology company
- Experience: 1–3 years of full-stack development
- 1+ years of web application development
- Strong proficiency in JavaScript/TypeScript, HTML, and CSS
- Solid understanding of React and its ecosystem
- Experience with Django (Python)
- Experience with Node.js and NestJS (or similar frameworks)
- Experience with relational databases (PostgreSQL, MySQL)
- Experience with MongoDB or other NoSQL databases
- Experience with Redis or similar caching systems
Nice to Have:
- Experience with GraphQL (e.g., Apollo Client)
- Experience with monorepos (pnpm, npm workspaces, Turborepo)
- Experience with Docker and Kubernetes
- Experience with GCP (Pub/Sub, Cloud Storage)
- Experience with Snowflake or other data warehouses
- Experience with WebSockets and real-time features
- Experience with multi-tenant or SaaS architectures
\n
Compensation: We offer market-leading compensation, based on the skillset and aptitude of the candidate.
To learn more visit : https://thelevel.ai/
Funding : https://www.crunchbase.com/organization/level-ai
LinkedIn : https://www.linkedin.com/company/level-ai/
Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s