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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Python Full Stack Engineer - Agentic AI - **Company:** Whiz Global LLC - **Location:** Wilmington, DE, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Automation of Tests, Unit Testing, Cloud Engineering, Program Optimization, Code Review, Continuous Integration, DevOps, Distributed Systems, Amazon DynamoDB, HP Systems Insight Manager, Python (Programming Language), MongoDB, NoSQL, Cloud Services, Software Engineering, Data Streaming, Data Logging, Enterprise Software Applications, Spring Cloud, Large Language Models, Grafana, Generative AI, Containerization, Kubernetes, Deployment Automation, Cassandra, Apache Kafka, Virtual Agents, Restful APIs, Splunk, Dynatrace, Docker, Microservices - **Published:** August 14, 2026 - **Apply:** https://www.dice.com/job-detail/184b6845-c2a3-4556-8849-f0a958f281e4 ## About the Role * 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. ## Description * 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. ## Related Videos - [Our journey with Spring Boot in a microservice architecture](https://www.wearedevelopers.com/videos/511-our-journey-with-spring-boot-in-a-microservice-architecture) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [Hiring AI Native Talents](https://www.wearedevelopers.com/videos/100268-hiring-ai-native-talents) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Rethinking Workflows in the Agentic Era](https://www.wearedevelopers.com/videos/1540-rethinking-workflows-in-the-agentic-era) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)