Full Stack Software Engineer – AI Systems
Job in
Omaha, Douglas County, Nebraska, 68197, USA
Listed on 2026-01-12
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
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
- 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
- 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
- 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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