Senior Python Full Stack Engineer - Agentic AI

• Design, develop, test, and maintain scalable full-stack applications using Python.
• Build and integrate AI agents and Agentic AI capabilities into enterprise applications.
• Work with technologies such as MCP (Model Context Protocol), Google ADK, and other AI-agent frameworks/tools.
• Develop applications and services that integrate with AI agents and LLM-based solutions.
• Participate in architecture, technical design, and code review discussions.
• Develop scalable REST APIs and microservices.
• Build cloud-native applications using AWS and containerized environments.
• Develop and maintain applications deployed on Kubernetes/Docker platforms.
• Work with Kafka/event streaming technologies for asynchronous and distributed systems.
• Design and implement solutions using NoSQL databases.
• Implement and maintain CI/CD pipelines and automated deployment processes.
• Write comprehensive unit, integration, and automated tests.
• Monitor applications and troubleshoot production issues using tools such as Splunk and Dynatrace.
• Implement application monitoring, alerting, logging, and observability capabilities.
• Apply AI-assisted development and code optimization techniques to improve developer productivity and accelerate delivery.
• Collaborate with architects, product owners, developers, and other engineering teams in an Agile environment.
• Ensure solutions meet enterprise standards for security, scalability, reliability, and performance.

• 7+ years of professional software engineering experience.
• Strong hands-on experience with Python development.
• Strong experience in full-stack software development.
• Experience building REST APIs, microservices, and cloud-native applications.
• Hands-on experience with Agentic AI / AI Agents / Generative AI.
• Experience with one or more of:
• MCP (Model Context Protocol)
• Google ADK
• AI Agent frameworks
• LLM integrations
• Applications designed to interact with AI agents
• Strong experience with AWS is preferred.
• Experience with Kubernetes and Docker/containerization.
• Experience with Kafka or other streaming/event-driven technologies.
• Experience with NoSQL databases such as DynamoDB, MongoDB, Cassandra, or similar.
• Strong understanding of CI/CD and DevOps practices.
• Experience with automated testing and unit testing frameworks.
• Experience with application monitoring and observability tools such as Splunk, Dynatrace, or similar.
• Strong understanding of software design, development best practices, and scalable architecture.
• Experience participating in code reviews and technical design discussions.
• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience with AWS cloud services and cloud-native architecture.
• Experience developing event-driven and distributed systems.
• Experience with LLM-based application development and AI-powered business solutions.
• Experience using AI coding assistants/tools for code optimization and developer productivity.
• Experience with enterprise SaaS platforms.
• Experience working in large-scale financial services or banking environments.
• Experience with Agile/Scrum development methodologies.

Ideal Candidate Profile

The ideal candidate is a Senior-level hands-on engineer who combines strong Python/full-stack development skills with modern cloud and AI expertise. Candidates should be comfortable working independently, reviewing code, contributing to technical design decisions, and building production-ready applications involving AI Agents and Agentic AI.

We are seeking a Senior Python Full Stack Engineer with Agentic AI experience to join the CCB Digital - Connected Banking team. The engineer will work on modern SaaS platforms that are customer-facing and integrate with internal enterprise systems.