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Full Stack Software Engineer – AI Systems

Job in Omaha, Douglas County, Nebraska, 68197, USA
Listing for: Mutual of Omaha
Full Time position
Listed on 2026-01-12
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 150000 USD Yearly USD 150000.00 YEAR
Job Description & How to Apply Below

Overview

Employer Industry: Technology Solutions

Why consider this job opportunity
  • Estimated salary up to $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
  • Opportunity to collaborate with AI engineers, data scientists, and UX architects
  • Engage in innovative projects that leverage AI technology to enhance internal operations
Responsibilities
  • Collaborate with AI engineers, data scientists, and UX architects to transform internal business processes using custom AI tools
  • Contribute throughout the full engineering lifecycle—from brainstorming to architecture, development, testing, and deployment
  • Develop user-facing microservices that maximize adoption and measurable impact
  • Integrate AI into enterprise workflows, ensuring scalability, security, and maintainability
  • Build tooling for AI quality assurance, auditability, observability, and cost control
Qualifications
  • Minimum of 2 years of experience building and deploying production-grade applications in Python
  • Proficient in using infrastructure as code and leveraging AWS services such as Bedrock, Sage Maker, S3, Lambda, and API Gateway
  • Strong front-end development skills and understanding of UX principles
  • Ability to navigate ambiguity and deliver scalable solutions in fast-paced environments
  • Excellent communication and teamwork skills with experience in cross-functional settings
Preferred Qualifications
  • Bachelor’s degree in Computer Science, Engineering, or analytical fields (Mathematics, Data Science, etc.), or equivalent experience
  • Experience in human-centered AI and cognitive science, including user behavior analysis and system design
  • Familiarity with generative AI orchestration frameworks and enterprise AI deployment pipelines
  • Interest in algorithmic innovation beyond generative AI

#Technology Solutions #AI #Software Engineering #Career Opportunity #Innovation

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