Backend Developer (Python) – GenAI & LLM Applications

Accountabilities: As a Backend Developer Intern, you will help design, build, and maintain reliable backend services while contributing to AI-driven features and real-world software projects. Your responsibilities will include:

• Design, develop, and maintain scalable backend applications using Python.

• Build, test, and optimize RESTful APIs using FastAPI or similar frameworks.

• Integrate third-party services and AI/LLM providers into backend applications.

• Design and manage databases, write efficient SQL queries, and improve application performance.

• Develop backend functionality for AI-powered features, including chatbots, AI agents, and document-processing workflows.

• Collaborate with frontend developers, product teams, and AI engineers to deliver complete solutions.

• Participate in the deployment, monitoring, troubleshooting, and maintenance of backend systems.

• Write clean, maintainable, and well-tested code while following software engineering best practices.

• Contribute to continuous improvement by exploring new technologies and applying them to practical development challenges.

Requirements:

We welcome freshers and early-career developers with 0–2 years of experience who have a solid foundation in Python and backend development. Relevant personal projects, internships, and hands-on experience are valued. Candidates should demonstrate the following skills and qualities:

• Strong proficiency in Python and a good understanding of programming fundamentals.

• Experience building and consuming REST APIs.

• Hands-on experience with at least one backend framework, such as FastAPI, Flask, or Django.

• Good understanding of SQL databases, including PostgreSQL or MySQL.

• Knowledge of backend architecture, software design principles, and basic system design.

• Familiarity with Git and modern software development workflows.

• Basic understanding of cloud platforms and application deployment processes.

• Awareness of authentication, authorization, caching, and backend security practices.

• Strong analytical and problem-solving skills, with attention to detail and a sense of ownership.

• Ability to learn independently, collaborate effectively, and adapt to a fast-paced, evolving environment.

• Genuine curiosity about Generative AI, LLMs, and practical technology solutions.

The following skills are considered advantageous:

• Project or internship experience involving Generative AI and Large Language Models.

• Familiarity with AI APIs from providers such as OpenAI, Anthropic, or Gemini.

• Understanding of Retrieval-Augmented Generation (RAG), vector databases, and embeddings.

• Basic knowledge of Docker, CI/CD pipelines, and cloud deployments.

• Familiarity with React or other modern frontend frameworks.

• Exposure to message queues, background jobs, or event-driven architectures.

Benefits:

• Flexible internship format: Choose between part-time and full-time engagement.

• Internship duration: Three months, with the possibility of extension depending on performance and business requirements.

• Monthly stipend: ₹10,000–₹15,000, based on experience and performance.

• Remote work: Work remotely from India.

• Hands-on learning: Gain practical experience developing backend systems and AI-powered applications.

• Cross-functional collaboration: Work with frontend developers, AI engineers, and product teams.

• Potential full-time opportunity: Strong performers may be considered for a full-time role.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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