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Full Stack Software Engineer – AI Systems - Remote

Remote / Online - Candidates ideally in
Omaha, Douglas County, Nebraska, 68197, USA
Listing for: Mutual of Omaha
Full Time, Remote/Work from Home position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    AI Engineer, Data Analyst, Machine Learning/ ML Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 140000 USD Yearly USD 140000.00 YEAR
Job Description & How to Apply Below

Overview

Employer Industry: Data Science and AI Solutions

Why consider this job opportunity:

  • Salary up to $140,000, 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 on innovative projects
  • Chance to build cutting-edge AI-powered applications that transform business processes
What to Expect (Job Responsibilities)
  • Collaborate with AI engineers, data scientists, and UX architects to enhance internal business processes using custom AI tools
  • Contribute to the full engineering lifecycle, from brainstorming to deployment, within a cross-functional team
  • Develop user-facing microservices that integrate AI systems and maximize adoption
  • Ensure scalability, security, and maintainability of AI integrations using full-stack technologies
  • Build robust tooling for AI quality assurance and operational efficiency across the organization
What is Required (Qualifications)
  • 2+ years of experience building and deploying production-grade applications in Python, utilizing AWS services
  • Strong front-end development skills and understanding of UX principles
  • Knowledge of observability, auditability, and responsible AI practices
  • Ability to navigate ambiguity and deliver scalable solutions in fast-paced environments
  • Strong communication and teamwork skills, with experience in cross-functional settings
How to Stand Out (Preferred Qualifications)
  • Bachelor’s degree in Computer Science, Engineering, or analytical fields, or equivalent experience
  • Curiosity and depth in human-centered AI and cognitive science, with experience in user behavior analysis
  • Familiarity with generative AI orchestration frameworks and enterprise AI deployment pipelines
  • Interest in algorithmic innovation beyond generative AI

#Data Science #AI #Software Engineering #Career Opportunity #Innovative Projects

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