On-Site
Full-Time
Indore, Madhya Pradesh
India
About the Role
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.
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.