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We are looking for Backend Engineers to join our Product Engineering team. As a member of the core Engineering team, you would be focusing on our platform design and development, and would also get to work with exciting new research in the field of Machine Learning and Data Science. You would be responsible for driving the orchestration of our new product features and services, while also working towards ensuring that we are building a great platform based a solid foundation of strong technical practices. We are looking for engineers who are comfortable with the NodeJS/TypeScript and wish to develop and hone their skills and experience by working in a challenging environment at a (fairly) early stage startup. Our vision is to democratise AI by leveraging our expertise in the field of research, software development and product engineering - to build a platform that brings otherwise inaccessible deep tech for everyone to use. Required Skills & Experience: Proficiency in Node JS and Typescript. In-depth knowledge of relational databases (MySQL/Postgres) and experience in writing optimized queries. Familiarity with common AWS services. Strong experience with git for source control and collaboration. Working knowledge of RESTful APIs. Experience with unit testing frameworks and test-driven development. Proficiency in scripting (e.g., Python, or another equivalent scripting language). Familiarity with modern CI/CD pipelines and automation tools. Functional knowledge of microservices. Familiarity with Agile development workflows. Strong problem-solving skills and a passion for clean, maintainable code. Excellent communication skills and the ability to collaborate effectively with team members. Key Responsibilities: Develop and maintain robust and scalable back-end services, APIs, and data pipelines. Write clean, maintainable code in NodeJS / Typescript to support new features and improvements. Manage and optimize relational databases to ensure high availability and performance. Leverage AWS services (EC2, RDS, S3, Lambda etc.) for deploying and managing back-end infrastructure. Collaborate with cross-functional teams to design and implement systems that meet product requirements. Implement automated tests to ensure the reliability and quality of back-end systems. Write crisp, functional documentation for code. Contribute to the improvement of code quality and development processes. Understand scalable system design principles and architecture. Be comfortable with version control tools like git. We would love for you to Work fast, ideate, iterate. Be available to work at our Gurugram office on working days. Be eager to learn, grow and strive in a challenging environment. As an added incentive to work at Xane AI, you will benefit by working with a well-connected, experienced leadership team. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.