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MCI

Provides BPO call center outsourcing services

Generative AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesNo salary listed

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • At least 2 years of experience in systems administration, DevOps, or infrastructure management; AI/ML environment experience is preferred.
  • Strong understanding of cloud platforms such as AWS, Azure, or GCP and containerization technologies such as Docker and Kubernetes.
  • Experience with Linux/Unix administration, Python/Bash scripting, and automation tools such as Terraform, Ansible, and Jenkins.
  • Familiarity with machine learning frameworks such as TensorFlow and 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.
  • Ability to troubleshoot and document technical work, and collaborate and communicate with cross-functional AI and engineering teams.
  • Must be authorized to work in the country where the job is based.
  • Must be willing to submit to a Level II background and/or security investigation with fingerprinting, where applicable, and to drug screening; drug screening does not apply in Canada.

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 and collaborate with cross-functional teams to deliver AI initiatives.
  • Integrate foundation models and third-party AI platforms into enterprise systems, and ensure models are monitored and continuously improved.
  • Optimize prompts, workflows, and model configurations; evaluate output quality; and improve accuracy and reliability through testing and experimentation.
  • Develop intelligent workflows and automated AI processes to improve operational efficiency, reduce manual effort, and increase scalability.
  • Connect AI solutions with internal systems, APIs, and data sources, support orchestration of AI-driven business processes, and identify opportunities for automation and process optimization.
  • Ensure AI solutions operate responsibly and comply with organizational standards; support AI governance, security, compliance, monitoring, quality assurance, risk identification, and mitigation.
  • Maintain documentation and technical standards; evaluate emerging AI technologies and frameworks; recommend improvements to architecture, tooling, and development practices; share knowledge and contribute to AI best practices; and support proof-of-concept and experimentation initiatives.

Desired Qualifications

  • AI/ML environment experience.

About the Company

MCI

Provides BPO call center outsourcing services

MCI provides business process outsourcing and call center services to a wide range of clients in both B2B and B2C markets. The company handles customer interactions and back-office tasks to improve customer experience, boost efficiency, and reduce client costs. With operations in seven countries and a global team of over 5,000 associates, MCI delivers support at scale across multiple languages and industries. Growth comes from organic expansion and acquisitions, assembling a family of firms that offer complementary services under a single umbrella. MCI’s main differentiators are its global reach, long-term client relationships, and focus on measurable outcomes such as higher customer satisfaction and lower operating expenses. The company’s goal is to help clients streamline their customer-facing processes and back-office operations while driving cost savings and revenue improvements.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$4.2M
Headquarters
Iowa City, IA
Founded
2015

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