Principal Data Engineer

19 hours ago

Thāne, Maharashtra, India beBeeBackendDeveloper Full time US$ 1,00,000 - US$ 1,60,000
Key Backend Developer Role

We seek a seasoned professional in building sophisticated systems utilizing Generative AI.

This role demands expertise in crafting intelligent agents, developing scalable AI-powered systems, and integrating cutting-edge technologies such as Retrieval-Augmented Generation (RAG) and prompt engineering.

  • Design, develop, and maintain robust Python-based backend systems emphasizing scalability, performance, and security.
  • Integrate and work with AI Agent frameworks and agentic development patterns.
  • Build and deploy RAG pipelines and intelligent APIs powered by Generative AI.
  • Develop and consume RESTful APIs to support data exchange and service integration.
  • Work with relational databases such as MySQL and PostgreSQL for structured data management.
  • Utilize Docker for containerization and deploy services in microservices architecture.
  • Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.
  • Apply prompt engineering techniques to fine-tune LLM interactions and outputs.
  • Stay current with emerging trends in Generative AI and continuously explore ways to apply them within our systems.

Requirements:

  • 4 to 8 years of professional experience in backend development using Python.
  • Strong experience with object-oriented programming and backend software engineering.
  • Experience working with any AI Agent frameworks (e.g., LangChain, AutoGPT, CrewAI, Semantic Kernel).
  • Solid understanding of RESTful API design and implementation.
  • Hands-on experience with relational databases (MySQL, PostgreSQL).
  • Proficiency with version control tools, especially Git.
  • Familiarity with Docker for containerization and environment replication.
  • Experience working with microservices and distributed systems.
  • Working knowledge of Vibe or similar AI coding tools.
  • Solid understanding and experience with Generative AI technologies (e.g., LLMs, RAG, prompt engineering).
  • Demonstrated ability to creatively apply GenAI in solving real-world problems, ideally in FinTech or payments.

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