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Generative AI Engineer

Job in Omaha, Douglas County, Nebraska, 68197, USA
Listing for: Capstone IT Staffing
Full Time position
Listed on 2025-12-01
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 165000 USD Yearly USD 150000.00 165000.00 YEAR
Job Description & How to Apply Below

Join to apply for the Generative AI Engineer role at Capstone IT Staffing

This range is provided by Capstone IT Staffing. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$/yr - $/yr

AI Full Stack Developer (J-4641)

Salary Range: $150,000–$165,000 per year plus benefits

IMPORTANT NOTE: Visa sponsorship is NOT available now or in the future. We are unable to work with third-party candidates or employers.

Capstone IT is partnering with a leading insurance and financial services provider to hire an AI Full Stack Developer.

This role focuses on designing, developing, and deploying Generative AI and ML applications using AWS Sage Maker, Bedrock, and related AWS services. The ideal candidate combines data science and full-stack engineering expertise with a product-oriented mindset, contributing to AI-driven solutions that enhance enterprise capabilities and customer experiences.

This is a direct placement role with the client and will require onsite work. We are unable to work with C2C candidates, provide sponsorship now or in the future, or provide contract opportunities for this role.

Responsibilities
  • Design, build, and integrate Generative AI features into enterprise-scale applications.
  • Develop end-to-end full-stack solutions using Python, Flask, and React, integrating front-end, back-end, and data workflows.
  • Implement and manage AI/ML models using AWS Sage Maker and Bedrock, ensuring scalable, secure, and performant deployment.
  • Collaborate closely with product managers, data scientists, and cloud engineers to deliver AI solutions aligned with business needs.
  • Apply prompt engineering and A/B testing techniques to improve AI model reliability and output quality.
  • Maintain and enhance CI/CD processes supporting AI-enabled applications.
  • Stay current with advancements in Generative AI, cloud technologies, and AWS ecosystem tools to inform continuous improvement.
Qualifications
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
  • 5+ years of experience in full-stack application development within enterprise environments.
  • Hands-on experience building and deploying Generative AI or ML-based applications.
  • Proficiency in Python, React, and Flask for scalable application development.
  • Strong knowledge of AWS services, including Sage Maker, Bedrock, Lambda, and related AI tools.
  • Understanding of cloud-native development, API integration, and secure software design principles.
  • Proven ability to collaborate effectively in cross-functional teams and agile environments.
Preferred
  • Master’s degree in a technical or analytical discipline.
  • Experience integrating AI/ML APIs or LLM-based systems into production environments.
  • Familiarity with data pipelines, prompt engineering, and AI model monitoring.
  • Exposure to agentic AI architectures or multi-cloud AI deployment strategies.
Notes
  • This is a Direct-Hire role.
  • Candidates must be located in Omaha, Lincoln, NE, or willing to relocate.
  • At this time,
    visa sponsorship is not available now or in the future.

Please send your resume and salary requirements for immediate consideration!

Capstone Consulting is an EEO employer.

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Seniority level
  • Mid-Senior level
Employment type
  • Full-time
Job function
  • Engineering, Information Technology, and Project Management
  • Software Development, IT Services and IT Consulting, and Data Infrastructure and Analytics

Referrals increase your chances of interviewing at Capstone IT Staffing by 2x

Benefits
  • Medical insurance
  • Vision insurance
  • 401(k)
  • Disability insurance
  • Paid maternity leave

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