Software Engineer

Software Engineer

Location: Franklin, Wisconsin, United States (Onsite)

Industry: Financial Services

Work Setting: Onsite

Are you passionate about leveraging Artificial Intelligence and modern software engineering to build innovative solutions that transform business operations and customer experiences? Join a forward-thinking team where you'll design, develop, and deploy intelligent applications powered by Generative AI and Agentic AI technologies. This is an exciting opportunity for an experienced software engineer who enjoys solving complex challenges, building scalable cloud-native solutions, and driving innovation through cutting-edge technology.

What You'll Do

• Design, develop, test, deploy, and support AI-powered and Generative AI solutions in production environments.
• Build scalable APIs, microservices, and full-stack applications that seamlessly integrate AI capabilities into business processes.
• Collaborate with product managers, engineers, architects, and business stakeholders to identify opportunities where AI can deliver measurable value.
• Apply modern engineering practices, including automated testing, code reviews, software design patterns, and continuous integration.
• Develop and maintain cloud-native applications utilizing modern cloud platforms and distributed architecture principles.
• Contribute to DevOps initiatives through CI/CD automation, monitoring, observability, deployment management, and production support.
• Diagnose and resolve complex technical issues while implementing long-term, sustainable solutions.
• Participate in architectural planning and provide recommendations for scalable, secure, and maintainable systems.
• Promote engineering excellence by establishing best practices, standards, and AI development methodologies.
• Mentor team members through technical guidance, collaboration, knowledge sharing, and code review activities.

What You'll Bring

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 5+ years of professional software engineering experience developing enterprise-grade applications.
• Hands-on experience designing, implementing, and supporting AI and Generative AI solutions in production environments.
• Strong knowledge of software engineering principles, including object-oriented programming, APIs, microservices, design patterns, and testing frameworks.
• Experience developing cloud-native applications using major cloud platforms.
• Proficiency with DevOps practices such as CI/CD pipelines, automated testing, release management, and operational support.
• Strong problem-solving, troubleshooting, architecture, and debugging capabilities.
• Understanding of application security principles, including authentication, authorization, and secure development practices.
• Excellent communication skills with the ability to effectively engage both technical and non-technical audiences.
• Proven ability to lead technical initiatives, mentor colleagues, and influence engineering best practices.
• Experience working within Agile development environments.

Preferred Qualifications

• Experience working with Agentic AI frameworks and orchestration tools.
• Knowledge of Retrieval-Augmented Generation (RAG) architectures.
• Experience integrating Large Language Models (LLMs) into enterprise applications.
• Familiarity with prompt engineering, model evaluation, and responsible AI practices.
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of serverless and event-driven architectures.
• Experience implementing monitoring and observability solutions for AI-enabled systems.
• Exposure to AI-assisted software development tools and methodologies.
• Previous experience providing technical leadership or contributing to solution architecture initiatives.