6 дней назад
Software Engineer III (AI)
108 160 - 162 240$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer III (AI): Building and supporting full-stack Agentic AI and Generative AI solutions for servicing applications with an accent on scalable APIs, microservices, cloud-native AWS architectures, and production reliability. Focus on integrating AI into enterprise workflows, designing secure and maintainable systems, and solving complex production and architecture challenges.
Location: Franklin, Wisconsin, United States; corporate office
Salary: $108,160–$162,240 annually. Geographic-specific structures may apply, including $118,960–$178,440 and $124,400–$186,600.
Company
is a financial services company focused on client-centered business solutions.
What you will do
- Design, build, test, deploy, and support Agentic AI and Generative AI solutions in production.
- Develop scalable APIs, microservices, and full-stack applications that integrate AI into business workflows.
- Build and support cloud-native applications and services using AWS and modern architecture patterns.
- Implement CI/CD, automated testing, monitoring, observability, release management, and production support.
- Investigate complex technical and production issues and develop sustainable solutions.
- Contribute to architecture discussions, engineering standards, technical leadership, and mentoring.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- At least 5 years of professional software engineering experience building enterprise applications.
- Production experience developing, deploying, and supporting AI and Generative AI solutions.
- Strong knowledge of object-oriented design, APIs, microservices, design patterns, testing, architecture, debugging, and troubleshooting.
- Experience with AWS or similar cloud platforms, DevOps practices, CI/CD, automated testing, release management, and operational support.
- Experience with application security, authentication, authorization, Agile development, technical leadership, and mentoring.
Nice to have
- Experience with Agentic AI frameworks, orchestration platforms, RAG architectures, and LLM integrations.
- Experience with prompt engineering, model evaluation, and responsible AI practices.
- Experience with Docker, Kubernetes, serverless architectures, event-driven systems, and observability for AI applications.
- Experience with AI-assisted software development, technical leadership, or solution architecture.
Culture & Benefits
- Work with engineers, product teams, architects, and business stakeholders across the software development lifecycle.
- Contribute to engineering standards, AI development approaches, knowledge sharing, and continuous improvement.
- Equal opportunity environment that supports creative ideas, leadership, and professional growth.
- Compensation is determined by skills, experience, market conditions, candidate location, and other hiring factors.
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