Python Backend Developer

Job Summary:

We are seeking an experienced Python Backend Engineer with strong AWS expertise and a background in AI/ML to build and scale intelligent backend systems and GenAI-driven applications. The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain. Experience with LangGraph is a strong plus.

Key Responsibilities:

Design, develop, and maintain Python-based backend systems and AI-powered services.

Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration.

Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.

Implement GenAI pipelines using Langchain; LangGraph experience is a plus.

Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment.

Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production.

Build and manage CI/CD pipelines for backend and model deployments.

Ensure performance, scalability, and security of applications in cloud environments.

Monitor production systems, troubleshoot issues, and optimize model and API performance.

Required Skills and Experience:

5 years of hands-on experience in Python backend development.

Strong experience building RESTful APIs using Django or FastAPI.

Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc.

Hands-on experience with Langchain for building GenAI applications.

Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform.

Good understanding of microservices architecture and CI/CD workflows.

Agile development experience.

Job Type: Full-time

Pay: ₹500,000.00 - ₹1,800,000.00 per year

Application Question(s):

• How many years of experience you have in Python Backend Development?
• What all AWS Services you have worked with?
• What kind of devops tools you are familiar with?
• How do you rate yourself in microservices architecture and CI/CD workflows out of 10?

Work Location: In person