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Generative AI Engineer

Capstone IT Staffing

United States

Remote

USD 150,000 - 175,000

Full time

8 days ago

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Job summary

Capstone IT Staffing is seeking a Senior AI Developer to join a leading insurance and financial services provider. This remote position in Omaha, NE, offers the opportunity to lead AI projects, enhance customer experiences, and drive innovation in a dynamic environment. The ideal candidate will manage cross-functional AI/ML projects, utilizing AWS and MLOps practices while mentoring other engineers.

Benefits

Medical insurance
Vision insurance
401(k)
Disability insurance
Tuition assistance
Paid maternity leave

Qualifications

  • 8+ years of experience in enterprise environments.
  • Hands-on experience with AI/ML models and MLOps.
  • Strong experience in AWS, CI/CD tools, and software engineering principles.

Responsibilities

  • Lead design and deployment of Generative AI applications.
  • Build AWS infrastructure for AI/ML workloads.
  • Oversee full AI/ML lifecycle and mentor team.

Skills

AWS
GenAI
Python
MLOps
CI/CD

Education

Bachelor’s degree in Computer Science, Engineering, or related field

Tools

AWS services
SQL
Git
React or Flask

Job description

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

$150,000.00/yr - $175,000.00/yr

Additional compensation types

Annual Bonus

Direct message the job poster from Capstone IT Staffing

IT Recruiter at Capstone IT | Partner in Your Success | Servant Leader | Connecting Top Tech Talent with Impactful Opportunities | Driving Innovation…

Terms: Full-Time, Direct-Hire

Salary Range: $150,000–$175,000 + Annual Bonus Opportunity

Please Note: Visa sponsorship is NOT available. This is a Direct-Hire role; we are UNABLE to work with third parties.

Capstone IT is partnering with a leading insurance and financial services provider to hire a Senior AI Developer for a remote, direct-hire position based in Omaha, NE. This role is critical in leading the design, development, and deployment of AI and Generative AI (GenAI) applications as part of the organization’s enterprise-wide digital transformation initiatives.

The Senior AI Developer will manage AI/ML projects from concept to production, leveraging AWS cloud infrastructure, full-stack development, and MLOps best practices. This individual will collaborate with engineering and business teams to build scalable and secure solutions that integrate with both modern and legacy systems. The ideal candidate is a proactive problem solver with strong experience in AWS, GenAI, CI/CD pipelines, and AI model optimization, who thrives in fast-paced and evolving environments.

This position offers the opportunity to directly impact business outcomes by building advanced AI capabilities that enhance customer experience, improve operational efficiency, and drive innovation.

Responsibilities:

  • Lead the design, development, and deployment of Generative AI and LLM-based applications aligned to business and operational needs.
  • Build secure, scalable, and cost-optimized AWS infrastructure to support AI/ML workloads and enterprise applications.
  • Develop and maintain full-stack applications, integrating with front-end, back-end, and legacy systems ensuring CI/CD pipeline reliability and system scalability.
  • Oversee the full AI/ML lifecycle including experimentation, prompt engineering, data versioning, A/B testing, deployment, and monitoring.
  • Apply MLOps best practices to streamline development and deployment processes for AI models.
  • Mentor engineers and data scientists, and lead agile solution delivery from prototype to production.
  • Stay current with advancements in GenAI, cloud technologies, and ethical AI standards to inform solution design and innovation strategy.

Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.
  • 8+ years of experience developing full-stack applications in enterprise environments.
  • Hands-on experience developing and integrating AI/ML models and MLOps pipelines into production systems.
  • Proficient in Python, TypeScript, React or Flask, SQL, Git, and CI/CD tools.
  • Strong experience with AWS services including SageMaker, Bedrock, Lambda, S3, and CDK (Cloud Development Kit).
  • Deep understanding of software engineering principles and cloud-native architecture for secure, scalable development.
  • Skilled in improving model performance using experimentation, A/B testing, and prompt engineering techniques.
  • Excellent communication and collaboration skills with experience in remote and agile team environments.
  • Demonstrates adaptability, resilience, and high learning agility in dynamic technical landscapes.

Preferred:

  • Master’s or advanced degree in a technical or analytical discipline.
  • Familiarity with single- or multi-cloud agentic architectures for LLM-based applications.
  • Experience building automated MLOps pipelines for training, monitoring, versioning, deployment, and scaling of models.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology, Engineering, and Research
  • Industries
    Insurance, IT Services and IT Consulting, and Software Development

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

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Tuition assistance

Paid maternity leave

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