Junior Software Engineer – Backend & AI

Job Description

Job Role: Junior Software Engineer – Backend

Work Experience: 1–1.5 Years

About

is India’s largest online pharmacy, specializing in providing super-speciality medicines for critical conditions like cancer, kidney diseases, heart disorders, HIV/AIDS, transplants, hepatitis, and more.

We are a patient-centric organization committed to improving access to medicines for individuals undergoing treatment for critical diseases. We understand the challenges patients face when they are unable to afford or access their prescribed medications, and we are dedicated to making sure that every patient receives the treatment they need.

Our team is passionate about improving healthcare through technology, and we are building products that solve real problems for patients, pharmacies, doctors, and our internal teams.

Work You Will Do

As a Junior Software Engineer – Backend, you will work with our engineering and product teams to design, build, and maintain backend services that power our customer-facing products and internal systems.

You will primarily work with technologies such as Node.js, MongoDB, Redis, Kafka, Elasticsearch, and Kubernetes, depending on the project.

We are also actively exploring AI-powered systems and workflows across the organization. We are looking for engineers who are comfortable with traditional backend engineering but are also curious about technologies such as LLMs, AI agents, MCP, OCR/document processing, RAG, AI APIs, AI infrastructure, vector databases, and other emerging AI technologies.

You do not need to have professional AI engineering experience. We care more about your ability to learn, experiment, build prototypes, and understand how these technologies can be applied to real problems.

Responsibilities

• Build, maintain, and improve backend services and APIs using Node.js and related technologies.
• Work with Product Managers, Frontend Engineers, and other stakeholders to understand requirements and translate them into reliable technical solutions.
• Work with databases and infrastructure components such as MongoDB, Redis, Kafka, Elasticsearch/Solr, and Kubernetes as required by the application.
• Write clean, maintainable, testable code and follow established engineering practices.
• Debug production and development issues systematically and contribute to improving system reliability and performance.
• Participate in code reviews and learn from feedback while contributing constructive feedback to other engineers.
• Use AI-assisted development tools effectively for research, prototyping, debugging, documentation, and implementation while maintaining ownership and understanding of the resulting code.
• Contribute to AI-related projects and experiments, which may involve LLMs, AI agents, MCP, OCR, document processing, RAG, AI APIs, vector databases, AI infrastructure, or other emerging technologies.
• Build prototypes and proof-of-concepts to evaluate new technologies and determine whether they can solve practical business problems.
• Work across the technology stack when required and understand how backend services interact with frontend applications, databases, third-party systems, and infrastructure.
• Take ownership of assigned features from understanding the problem through implementation, testing, deployment, and iteration.
• Work effectively in a fast-paced startup environment where requirements can evolve and engineers are expected to solve problems rather than simply execute predefined instructions.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• 1–1.5 years of professional software development experience, with strong internship or project experience considered for exceptional candidates.
• Good working knowledge of Node.js and backend development fundamentals.
• Familiarity with databases, preferably MongoDB, and a basic understanding of concepts such as indexing, queries, data modelling, and performance.
• Understanding of APIs, HTTP, authentication, asynchronous programming, and common backend architecture patterns.
• Exposure to technologies such as Redis, Kafka, Elasticsearch/Solr, Docker, or Kubernetes is a strong plus, but deep expertise in every technology is not expected at this experience level.
• Strong understanding of programming fundamentals, data structures, algorithms, and problem-solving.
• Demonstrated ability to us…