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Urgent! Gleecus TechLabs - Senior Python Backend Engineer - Django/FastAPI Job Opening In Hyderabad – Now Hiring Gleecus

Gleecus TechLabs Senior Python Backend Engineer Django/FastAPI



Job description

<p><p><b>Job Title :</b> Python Backend Engineer AWS | GenAI & ML Focus.<br/><br/><b>Experience :</b> 5 Years.<br/><br/><b>Employment Type :</b> Full-Time.<br/><br/><b>Job Summary :</b><br/><br/></p><p>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.<br/><br/></p><p>The ideal candidate should have hands-on experience building REST APIs using Django or FastAPI and implementing AI/LLM applications using Langchain.<br/><br/></p><p>Experience with LangGraph is a strong plus.<br/><br/><b>Key Responsibilities :</b><br/><br/></p><p>- Design, develop, and maintain Python-based backend systems and AI-powered services.<br/><br/></p><p>- Build and manage RESTful APIs using Django or FastAPI for AI/ML model integration.<br/><br/></p><p>- Develop and deploy machine learning and GenAI models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.<br/><br/></p><p>- Implement GenAI pipelines using Langchain; LangGraph experience is a plus.<br/><br/></p><p>- Utilize AWS services including EC2, Lambda, S3, SageMaker, and CloudFormation for infrastructure and deployment.<br/><br/></p><p>- Collaborate with data scientists, DevOps, and architects to integrate models and workflows into production.<br/><br/></p><p>- Build and manage CI/CD pipelines for backend and model deployments.<br/><br/></p><p>- Ensure performance, scalability, and security of applications in cloud environments.<br/><br/></p><p>- Monitor production systems, troubleshoot issues, and optimize model and API performance.<br/><br/><b>Required Skills and Experience :</b><br/><br/></p><p>- 5 years of hands-on experience in Python backend development.<br/><br/></p><p>- Strong experience building RESTful APIs using Django or FastAPI.<br/><br/></p><p>- Proficiency in AWS cloud services: EC2, S3, Lambda, SageMaker, CloudFormation, etc.<br/><br/></p><p>- Hands-on experience with Langchain for building GenAI applications.<br/><br/></p><p>- Familiarity with DevOps tools: Docker, Kubernetes, Git, Jenkins, Terraform.<br/><br/></p><p>- Good understanding of microservices architecture and CI/CD workflows.<br/><br/></p><p>- Agile development experience.<br/></p><br/></p> (ref:hirist.tech)


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