Generative AI Engineer

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.

At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.

We are seeking an innovative and technically skilledGenerative AI Engineerto join our growing AI team. In this role, you will design, develop, and deploy cutting-edge AI solutions powered by Large Language Models (LLMs) and generative technologies. You will work closely with product managers, software engineers, and business stakeholders to build intelligent applications that improve customer experiences, automate complex workflows, and drive business value.

This is an exciting opportunity for someone passionate about emerging AI technologies and eager to help shape the future of AI-powered products and services., AI Solution Development

• 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.

Model Integration & Optimization

• 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.

AI Workflow Automation

• 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.

Quality, Governance & Security

• 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.

Innovation & Continuous Improvement

• 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., Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources.

All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities:

• 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 (AI/ML environment experience preferred).

• 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.

Subject to the program and location of the position

• Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint. Job offers are contingent on background/security investigation results.

• Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada)

At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community. All aspects of employment at MCI are based solely on a person’s merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI’s commitment to a diverse and equal opportunity work environment., MCI helps customers take on their CX and DX challenges differently, creating industry-leading solutions that deliver exceptional experiences and drive optimal performance. MCI assists companies with business process outsourcing, staff augmentation, contact center customer services, and IT Services needs by providing general and specialized hosting, software, staff, and services.

In 2019, Marlowe Companies Inc. (MCI) was named by Inc. Magazine as Iowa’s Fastest Growing Company in the State of Iowa and was named the 452nd Fastest Growing Privately Company in the USA, making the coveted top 500 for the first time. MCI’s subsidiaries had previously made Inc. Magazine’s List of Fastest-Growing Companies 15 times, respectively. MCI has ten business process outsourcing service delivery facilities in Georgia, Florida, Texas, New Mexico, California, Kansas, Nova Scotia, South Africa, and the Philippines.

Driving modernization through digitalization, MCI ensures clients do more for less. MCI is the holding company for a diverse lineup of tech-enabled business services operating companies. MCI organically grows, acquires, and operates companies that have synergistic products and services portfolios, including but not limited to Automated Contact Center Solutions (ACCS), customer contact management, IT Services (IT Schedule 70), and Temporary and Administrative Professional Staffing (TAPS Schedule 736), Business Process Management (BPM), Business Process Outsourcing (BPO), Claims Processing, Collections, Customer Experience Provider (CXP), Customer Service, Digital Experience Provider (DXP), Account Receivables Management (ARM), Application Software Development, Managed Services, and Technology Services, to mid-market, Federal & enterprise partners. MCI now employs 10,000+ talented individuals with 150+ diverse North American client partners across the following MCI