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AI Developer (Banking & Financial Services)

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Description

Duties and Responsibilities:

  • Develop, maintain, and deploy end-to-end web applications using Python for backend development and React JS for frontend development.

  • Build and maintain backend services, APIs, Function Apps, and data processing/ETL pipelines.

  • Develop and integrate GenAI/LLM-powered applications, including workflows, agent-based orchestration, and RAG-based solutions using LangChain and/or LangGraph.

  • Design, query, and optimize SQL databases to support application functionality and data processing requirements.

  • Integrate frontend and backend components to deliver functional, responsive, and user-friendly applications.

  • Apply modular design, reusable components, and sound application architecture principles.

  • Perform testing, debugging, and troubleshooting to ensure application quality, performance, and reliability.

  • Translate business requirements into technical solutions and collaborate with cross-functional teams in an Agile/Scrum environment.

  • Deliver solutions according to defined requirements, project timelines, and enterprise development standards.

Qualifications:

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.

  • 3–5 years of experience in full-stack development, including at least 2 years of Python backend development.

  • Strong proficiency in Python for backend services, application logic, and data processing.

  • Experience with SQL databases, including complex queries and performance optimization.

  • Hands-on experience with LangChain and/or LangGraph for LLM-powered workflows, agent orchestration, or RAG applications.

  • Experience developing responsive frontend applications using React JS.

  • Experience building and maintaining APIs, backend services, Function Apps, and ETL/data pipelines.

  • Knowledge of application architecture, modular design, integration, testing, debugging, and troubleshooting.

  • Experience working in Agile/Scrum environments with structured delivery timelines.

  • Strong analytical, problem-solving, communication, and cross-functional collaboration skills.

  • Must be willing to work on an initial full onsite before transitioning to a hybrid work set-up.


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