Senior Backend Engineer

LevelAI • Noida • 1m ago

Why This Job is Featured on The SaaS Jobs

Level AI sits in a distinctly SaaS-heavy category: an AI-native platform built for contact centers, where product value is delivered through reliable data pipelines, APIs, and continually evolving models. For a Senior Backend Engineer, that context matters because backend choices directly shape how insights are captured from customer interactions and served back into operational workflows at scale.

From a SaaS career perspective, the role signals experience that travels well across modern subscription businesses: owning services end to end, designing durable interfaces, and treating observability and production readiness as first-class concerns. The emphasis on integrating AI tools into engineering workflows also reflects a broader shift in SaaS engineering, where productivity, testing, and delivery practices are increasingly augmented rather than purely manual.

This position tends to suit engineers who prefer broad problem spaces over narrow tickets, and who are comfortable balancing feature delivery with system stability. It also fits professionals who want their backend work to connect to applied ML and data-rich product surfaces without needing to be ML specialists, and who value iterative shipping with clear operational accountability.

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.

We’re looking for a passionate and driven Senior Software Engineer who thrives on building impactful solutions, embraces innovation, and leverages AI tools to amplify their productivity and output. AI adoption is not optional—it’s foundational to how we work, learn, and build better.

What you’ll get to do at Level AI (and more as we grow together):

Innovate and build: Design, develop, and maintain products and features that serve millions of customers, continuously improving customer experience.
Own solutions end-to-end: Tackle broadly defined problems by designing and coding scalable, high-quality solutions.
Raise the bar: Champion best practices in software engineering, code quality, testing, and operational excellence.
Collaborate on architecture: Partner with peers to architect, design, and evolve new and existing systems.
Be AI-driven: Continuously explore, adopt, and leverage AI tools and techniques to improve engineering workflows, code quality, testing, and delivery speed.
Bottom-up ownership: Take full ownership of the code you write—ensuring production readiness, system stability, and operational excellence; proactively improve system reliability, scalability, and maintainability; embed observability and monitoring as a core part of design and development.
Deliver iteratively: Work in an agile environment, shipping high-quality software with fast feedback loops.

We'll love to explore more about you if you have:

Bachelor’s degree or higher in Computer Science, Electronics, or related fields from a tier-1 institution—or equivalent relevant experience with a top technology company.
2+ years of backend engineering experience, with expertise in at least one high-level programming language (preferably Python).
Strong hands-on experience with Django or similar frameworks.
Solid understanding of relational databases, data modeling, and REST API design.
Exposure to machine learning/NLP concepts is a plus.
Strong problem-solving, analytical, and debugging skills.
Deep understanding of core Computer Science concepts: Algorithms, Data Structures, Object-Oriented Design, and Databases.
Demonstrated ability to integrate AI tools into engineering workflows (e.g., for code generation, code review, testing, or documentation).