Senior AI Automation Developer

1 day ago


Delhi, Delhi, India beBeeAutomation Full time ₹ 8,00,000 - ₹ 15,00,000

AI Automation Developer

As a seasoned developer with expertise in AI automation, you will be responsible for designing, developing, and maintaining back-end systems that integrate intelligent automation solutions into core business workflows.

This role requires strong proficiency in Python (3.x) and OOP principles, as well as solid back-end development experience (APIs, microservices, databases). Familiarity with AI/automation frameworks such as TensorFlow, PyTorch, Scikit-learn, Airflow, and Celery is also essential.

The ideal candidate will have hands-on experience with LLM APIs, cloud services (AWS, GCP, Azure), Docker/Kubernetes, and DevOps workflows. Additionally, they should have a strong background in eCommerce or financial/transaction systems.

Key Responsibilities:

  • Design, develop, and maintain Python-based automation services and back-end systems.
  • Integrate AI/ML models into workflows to optimize processes and reduce manual effort.
  • Work with APIs, databases, and messaging systems to connect platforms.
  • Apply OOP and software engineering best practices for scalable, maintainable code.
  • Collaborate with cross-functional teams to deliver high-quality solutions.
  • Document systems and ensure solutions are reliable and production-ready.

Requirements:

  • Strong proficiency in Python (3.x) and OOP principles.
  • Solid back-end development experience (APIs, microservices, databases).
  • Familiarity with AI/automation frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Airflow, Celery).
  • Experience with relational and/or NoSQL databases.
  • Strong problem-solving and debugging skills.
  • Excellent communication and teamwork abilities.
  • Bachelor's degree in Computer Science, Engineering, or related field.

Preferred Qualifications:

  • Hands-on experience with LLM APIs (OpenAI, Hugging Face).
  • Familiarity with cloud services (AWS, GCP, Azure).
  • Knowledge of Docker/Kubernetes and DevOps workflows.
  • Background in eCommerce or financial/transaction systems.


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