Description

About the Role

We are Seeking a Python GenAI Developer , who is ready to take In person interviews and ready to take Strong coding assesments as a part of Hiring process as it is manadatory . 

MUST HAVES

Qualifications

Bachelor’s degree in Computer Science, Data Science, Engineering, or related field

5–7 years of experience developing backend systems and services using Python

Strong proficiency in Python and related libraries (e.g., NumPy, Pandas)

Experience building REST APIs and working in microservices or service-oriented architectures

Experience with data processing, ETL pipelines, or data engineering concepts

Familiarity with LLMs and GenAI technologies

Understanding of distributed systems and backend integration patterns

Ability to work independently and collaboratively in a global team

Preferred Skills

Experience with distributed data tools (e.g., Hadoop, Spark, Hive)

Knowledge of databases (e.g., MySQL or other relational databases)

Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)

Background in financial services, banking, or risk environments

Experience with AI developer tools such as Copilot

Responsibilities

Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture

Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration

Develop data processing pipelines to handle structured and unstructured data

Collaborate with global Technology teams across multiple time zones in a hybrid environment

Apply Object-Oriented Programming (OOP) principles and backend engineering best practices

Drive resolution of complex technical challenges through analysis of system flows and business processes

Ensure solutions align with enterprise architecture, performance, and scalability requirements

Establish and follow standards for coding, testing, debugging, and deployment in backend environments

Perform data extraction, transformation, and analysis to support business use cases

Implement unit testing and TDD to ensure reliability and maintainability of backend services

Contribute to microservices ecosystem, including service integration and inter-service communication

Support the integration of LLMs and GenAI capabilities into backend systems and workflows

Mentor junior developers and promote strong engineering and coding standards

Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards

Key Skills

Education

Any Graduate