Backend Developer

Job description:

Job Title: Backend Developer (Node.js + Python )
Experience: 4 to 6 Years
Employment Type: Full-Time
Work Mode: [On-site]

About the Role:
We’re looking for a highly motivated Backend Developer with strong hands-on experience in Node.js, Python and a working knowledge of AI/ML technologies. You’ll be part of a cross-functional team building scalable backend services that power intelligent, data-driven applications.

Key Responsibilities:

• Develop and maintain backend services using Node.js (Express/Nest.js) and Python (FastAPI/Django)
• Build and optimize APIs (REST & GraphQL) for web and mobile products.
• Collaborate with AI/ML teams to integrate models into backend workflows.
• Work with data scientists to deploy models and manage inference pipelines.
• Design backend systems to support AI features such as recommendation engines, NLP, chatbots, or computer vision modules.
• Write clean, maintainable, and testable code with proper documentation.
• Ensure the performance, security, and scalability of applications.
• Manage deployments using Docker, CI/CD, and cloud infrastructure (AWS/GCP/Azure).
• Monitor and troubleshoot production issues proactively.

Required Skills and Qualifications:

• 4 to 6 years of backend development experience in Node.js and Python.
• Strong knowledge of databases – PostgreSQL, MongoDB, Redis.
• Solid understanding of API design, microservices, and system architecture.
• Experience with AI/ML integrations – using or deploying models built with libraries like TensorFlow, PyTorch, scikit-learn, or OpenAI APIs.
• Experience with cloud services for model hosting and serving (e.g., AWS ec2, AWS Lambda, SageMaker, GCP Vertex AI).
• Experience with containerization (Docker) and version control (Git).
• Exposure to WebSockets, real-time communication, and message queues (Kafka, RabbitMQ).
• Working knowledge of JWT, OAuth2, and API security best practices.

Nice to Have:

• Hands-on with LangChain, LLM APIs, or vector databases like Pinecone or Weaviate.
• Familiarity with prompt engineering or LLM fine-tuning.
• Exposure to serverless architecture or event-driven systems.

Job Types: Full-time, Permanent

Benefits:

• Paid sick time
• Paid time off

Location Type:

• In-person

Schedule:

• Monday to Friday

Work Location: In person

Job Types: Full-time, Permanent

Pay: ₹215,051.09 - ₹1,022,268.49 per year

Benefits:

• Paid sick time
• Paid time off

Work Location: In person

Speak with the employer
+91 7880122103