Gleecus TechLabs - Python Developer - Django/FastAPI

Job Title : Python Backend Engineer AWS | GenAI & ML.

Experience : 5 Years.

Employment Type : Full-Time.

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.

- 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.