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Mutual of Omaha · 21 hours ago

Full Stack Software Engineer – AI Systems

United States

Full-time

Remote

Entry, Mid Level

$125K/yr - $150K/yr

2+ years exp

Mutual of Omaha is seeking a Full Stack Software Engineer to join their Enterprise Data Science team to build AI-powered solutions. The role involves collaborating with AI engineers, data scientists, and UX architects to develop scalable systems that integrate advanced AI techniques for internal operations.

Auto InsuranceCommercial InsuranceFinancial ServicesHealth InsuranceInsuranceLife InsuranceProperty Insurance

No H1B

Responsibilities

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

Qualification

PythonAWS servicesFull-stack developmentUX principlesObservability practicesCuriosity in AIAlgorithmic innovationCommunication skillsTeamwork skills

Required

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