Software Engineer (Full Stack Developer)
Role Overview
Develop, integrate, test, and maintain production-ready software applications involving generative AI and large language models.
Work across frontend and backend development, APIs, databases, cloud deployment, software testing, and AI model integration.
Collaborate with engineers and technical managers on reliable solutions, architecture, code quality, debugging, and technical documentation.
Key Skills for This Role
Full Job Posting
Role overview
Develop, integrate, test, and maintain production-ready software applications involving generative AI and large language models.
Work across frontend and backend development, APIs, databases, cloud deployment, software testing, and AI model integration.
Collaborate with engineers and technical managers on reliable solutions, architecture, code quality, debugging, and technical documentation.
Responsibilities
- Develop and maintain full-stack applications, backend services, APIs, and internal tools.
- Build software using Python, Java, Rust, C#, C++, or TypeScript; integrate AI and LLM APIs into applications.
- Develop testing frameworks, evaluation systems, tool interfaces, and telemetry solutions; build frontend applications using React or equivalent frameworks.
- Work with relational and document databases; deploy and manage applications on cloud platforms.
- Diagnose, test, and document software and AI model integration issues; communicate technical findings to engineering and research teams.
- Develop prototypes for changing technical requirements and collaborate on architecture, code quality, testing, and technical documentation.
Required qualifications
- At least 3 years of professional experience developing and delivering production software.
- Strong professional experience in at least one of Python, Java, Rust, C#, or C++; working proficiency in a second programming language.
- Strong full-stack experience, including backend development, REST APIs or web services, React or frontend development, relational and document databases, cloud deployment, and software architecture.
- Experience contributing to unfamiliar codebases and taking ownership of technical projects.
- Strong problem-solving, debugging, and testing skills; good written and verbal communication and ability to explain technical concepts and engineering decisions.
- Available to work 40 hours per week during weekdays.
Compensation
- Compensation is up to ₹50 LPA, stated as up to ₹5,000,000 per year.
Work arrangement
- Work mode and work location are remote.
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