Senior Python Full Stack Engineer – Agentic AI

Location: Wilmington, DE
Duration: Contract
Work Model: Hybrid/Onsite as required
Experience: 7+ YearsJob Overview

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.

The team is actively building AI-powered agents to solve business use cases and improve software development and platform capabilities. The ideal candidate is a strong hands-on software engineer who can contribute to architecture and design discussions, perform code reviews, and develop scalable, production-quality applications.

This is an individual contributor role, not a people-management position.

Key Responsibilities

• 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.

Required Skills & Qualifications

• 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.

Key Technologies:
Python | Agentic AI | AI Agents | MCP | Google ADK | AWS | Kubernetes | Docker | Kafka | NoSQL | CI/CD | REST APIs | Splunk | Dynatrace | Automated Testing