Full Stack Software Engineer – AI Systems

WHAT WE CAN OFFER YOU:

• Estimated Salary: $125,000-$150,000, plus annual bonus opportunity, and commission. 
• 401(k) plan with a 2% company contribution and 6% company match.
• Work-life balance with vacation, personal time and paid holidays. See our benefits and perks page for details.
• Applicants for this position must not now, nor at any point in the future, require sponsorship for employment.

WHAT YOU'LL DO:

• Collaborate-functionally with AI engineers, data scientists, and UX architects to reimagine internal business processes, empowering users to focus on high-value work while leaning on custom AI tools .
• Contribute across the full engineering lifecycle—from early-stage brainstorming through architecture, development, testing, and deployment—within a cross-functional team.
• Ship AI systems as user-facing microservices, iterating on interaction patterns that maximize adoption and measurable impact..
• Integrate AI into enterprise workflows using full-stack technologies, while aligning with architectural best practices and approved CDKs to ensure scalability, security, and maintainability.
• Build robust tooling to support AI quality assurance,  auditability, observability, and cost control—enabling responsible and efficient AI operations across the organization. 

WHAT YOU'LL BRING: 

• 2+ years building and deploying production-grade applications in Python, using infrastructure as code and leveraging AWS services, particularly Bedrock, SageMaker, S3, Lambda, API Gateway, and infrastructure as code (CDK).  
• Front-end development skills paired with a strong grasp of UX principles.  
• Understanding of observability, auditability, and responsible AI practices.  
• Comfortable navigating ambiguity and under-defined problems—delivering robust, scalable solutions in fast-moving environments.  
• Strong communication and teamwork skills, with a track record of thriving in cross-functional settings. 

PREFERRED:

• Bachelor’s degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience.
• Proven curiosity and depth in human-centered AI and cognitive science, with hands-on experience analyzing user behavior and designing systems that enhance user competence.  
• Working knowledge of generative AI orchestration frameworks (e.g., LangGraph, AWS Strands), retrieval-augmented generation (RAG) architectures (vector databases, rerankers), and enterprise AI deployment pipelines.  
• Demonstrated interest in algorithmic innovation beyond generative AI. 

We value diverse experience, skills, and passion for innovation. If your experience aligns with the listed requirements, please apply! 

If you have questions about your application or the hiring process, email our Talent Acquisition area at careers@mutualofomaha.com. Please allow at least one week from time of applying if you are checking on the status.

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