Expert Backend AI Developer with Generative AI Expertise

6 hours ago


Dombivli, Maharashtra, India beBeeGenerative Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
About the Role

We are seeking an expert backend AI developer to join our team and drive innovation in building scalable, AI-powered systems. This role involves designing, developing, and maintaining robust backend systems that integrate cutting-edge AI capabilities such as Retrieval-Augmented Generation (RAG), prompt engineering, and intelligent agent frameworks.

As a senior member of our team, you will work at the intersection of AI and payment technology to develop solutions that meet our business needs. Your primary focus will be on architecting and implementing robust backend systems while integrating GenAI technologies.

Key Responsibilities
  • Design, develop, and maintain Python-based backend systems with a focus on 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.
  • Collaborate with cross-functional teams to drive innovation and delivery of AI-first features.
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 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).
  • Familiarity with Docker for containerization and environment replication.
  • Experience working with microservices and distributed systems.
Bonus Points
  • Experience in the payments or FinTech domain.
  • Contributions to open-source AI/ML projects or published work in the GenAI space.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment.
About Our Technology Stack

We utilize a range of tools and technologies including Vibe (or equivalent AI coding assistants) to enhance development workflows and ensure seamless collaboration. Our tech stack includes Python, RAG, RESTful APIs, relational databases (MySQL, PostgreSQL), and Docker for containerization.


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