Senior Python Developer I 5Years+

12 hours ago

Hyderabad, Telangana, India Gleecus TechLabs Inc. Full time ₹ 1,04,000 - ₹ 1,30,878 per year

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.
  • Solid understanding of ML/AI concepts and model deployment practices.
  • Experience with ML libraries like Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
  • 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.

Nice to Have:

  • Experience with LangGraph for agentic workflows or graph-based orchestration.
  • Knowledge of LLMs, embeddings, and vector databases (e.g., Pinecone, FAISS).
  • Exposure to OpenAI APIs, AWS Bedrock, or similar GenAI platforms.
  • Understanding of MLOps tools and practices for model monitoring, versioning, and retraining.

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