Senior Python AI Engineer-Agentic AI & API Development

Job Description

Required Education: Bachelor's degree/University degree or equivalent experience in a STEM-related field.

Preferred Education: Master's degree

Required Qualifications

• 5 years of experience developing applications using Python.
• Experience with RESTful APIs and microservices development.
• Familiarity with event-driven architecture and messaging platforms.
• Experience with FastAPI, Flask, or similar Python frameworks.
• Knowledge of SQL and database technologies.
• Familiarity with source control, CI/CD pipelines, and automated testing.
• Experience working in Linux environments.
• Strong analytical and problem-solving skills.
• Ability to work independently and collaboratively within cross-functional teams.
• Exposure to Agentic AI frameworks, MCP, LLMs, and GenAI solutions.

Preferred Skills

• Familiarity with Kafka, MQ, or event-streaming platforms.
• Experience with cloud platforms and container technologies.
• Banking, risk management, or financial services experience.
• Understanding of distributed systems, observability, and platform monitoring.

Responsibilities

• Design, develop, test, and support Python-based applications and services.
• Build and maintain REST APIs, microservices, and event-driven integrations.
• Contribute to the development of Agentic AI workflows and MCP-enabled application components.
• Implement integrations between AI models, enterprise systems, and business applications.
• Develop reusable services and components following enterprise engineering standards.
• Participate in the full software development lifecycle, including design, coding, testing, deployment, and support.
• Implement monitoring, logging, and operational controls to ensure service reliability.
• Contribute to automation, CI/CD pipelines, and testing frameworks.
• Work with messaging and event-streaming technologies to support asynchronous processing.
• Collaborate with business and technology teams to analyze requirements and develop technical solutions.
• Support issue resolution, performance tuning, and application enhancements.
• Document technical designs, implementation details, and operational procedures.
• Follow established security, governance, and risk management standards.