Generative AI Engineer

MCI is seeking a Generative AI Engineer to design, develop, and deploy AI solutions powered by large language models and generative technologies. The role involves building AI applications and workflows, integrating and optimizing models, and collaborating with product, engineering, and business teams to improve customer experiences and business operations.

Responsibilities

Design, build, and deploy Generative AI applications that solve business challenges and enhance customer experiences

Develop AI-powered applications using Large Language Models (LLMs) and Generative AI frameworks

Build scalable services and APIs that integrate AI capabilities into products and business processes

Translate business requirements into practical AI solutions

Collaborate with cross-functional teams to deliver high-impact AI initiatives

Ensure AI models are effectively integrated, monitored, and continuously improved

Integrate foundation models and third-party AI platforms into enterprise systems

Optimize prompts, workflows, and model configurations to improve performance

Evaluate output quality and implement enhancements to increase accuracy and reliability

Conduct testing and experimentation to improve model effectiveness

Develop intelligent workflows that improve operational efficiency and productivity

Design automated AI processes that reduce manual effort and increase scalability

Connect AI solutions with internal systems, APIs, and data sources

Support orchestration of AI-driven business processes

Identify opportunities for automation and process optimization

Ensure AI solutions operate responsibly and comply with organizational standards

Implement monitoring and quality assurance processes

Support AI governance, security, and compliance requirements

Maintain documentation and technical standards

Assist with risk identification and mitigation activities

Drive innovation and stay at the forefront of AI advancements

Evaluate emerging AI technologies and frameworks

Recommend improvements to architecture, tooling, and development practices

Share knowledge and contribute to AI best practices across the organization

Support proof-of-concept and experimentation initiatives

Preferred

AI/ML environment experience preferred

AI/ML Environment Experience

Company

Business process outsourcing and contact center services

Iowa City, Iowa, USA

https://www.massmarkets.com/

Founded in 2003

501-1000 employees

Qualifications

Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field

2+ years of experience in systems administration, DevOps, or infrastructure management

Strong understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)

Experience with Linux/Unix administration, Python/Bash scripting, and automation tools (Terraform, Ansible, Jenkins)

Familiarity with machine learning frameworks (TensorFlow, PyTorch) and AI model deployment pipelines

Understanding of networking, security, and storage in distributed computing environments

Experience with GPU-based computing and performance optimization for AI workloads

Excellent problem-solving, troubleshooting, and documentation skills

Strong collaboration and communication abilities to work with cross-functional AI and engineering teams

Must be authorized to work in the country where the job is based

AI/ML environment experience preferred

Required skills

AWS, Azure, Google Cloud Platform, Docker, Kubernetes, Linux/Unix Administration, Python, Bash, Terraform, Ansible, Jenkins, TensorFlow, PyTorch, AI Model Deployment Pipelines, GPU Computing

Preferred skills

AI/ML environment experience preferred, Glassdoor, 3.0, Iowa City, Iowa, USA, https://www.massmarkets.com/, Late Stage, Recent News, EIN Presswire, 2025-06-24, Company data provided by, AI Tools, Customize Your Resume, Maximize your interview chances, Build Cover Letter, Make your application stand out, Analyze How Well You Fit, Understand your strength & weakness

Experience

2+ years