Senior Python Backend Developer

6 days ago


Hyderabad, Telangana, India Gleecus, Hyderabad Full time ₹ 50,000 - ₹ 16,00,000 per year

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, ₹1,600,000.00 per year

Application Question(s):

  • Do you have work experience of Amazon Web Services (AWS)?

Experience:

  • Python: 4 years (Preferred)

Location:

  • Hyderabad, Telangana (Preferred)

Work Location: In person

Speak with the employer



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