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GenAI Platform Engineer (Support Role

Job in Bloomfield, Hartford County, Connecticut, 06002, USA
Listing for: Damco
Full Time position
Listed on 2026-08-05
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering, IT Support
Job Description & How to Apply Below
Position: GenAI Platform Engineer (Support Role)

GenAI Platform Support Engineer

As a Generative AI Platform Support Engineer, you will provide technical support for our AI platform tasks. You will collaborate with cross-functional teams to troubleshoot issues, enhancements, monitor logs and ensure the platform operates smoothly and efficiently.

Key Responsibilities:

  • Assess and enhance the AI platform's data pipeline resilience.
  • Ensure that AI/ML models are fault-tolerant and scalable.
  • Identify bottlenecks in model inference and training pipelines.
  • Optimize model performance for real-time use cases.
  • Collaborate with the Dev Ops team on deployment improvements.
  • Implement automated testing for fault-tolerance scenarios.
  • Provide technical support for users of the Generative AI platform, troubleshooting issues and answering queries.
  • Monitor platform performance and implement optimization strategies.
  • Document processes, issues, and solutions for knowledge sharing and future reference.
  • Stay up-to-date with industry trends and advancements in generative AI technologies.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience on support and maintenance.
  • Experience with database management (SQL, No

    SQL).
  • Familiarity with cloud platforms (AWS, GCP, Azure).
  • Familiarity on provisioning Azure/AWS cloud services with Terraform script.
  • Having knowledge on OpenAI will be an added advantage.
  • Good knowledge on Shell Scripting/Python.
  • Having knowledge on provisioning GEN AI Cloud Services on AWS/Azure will be an advantage.
  • Must have knowledge on Kubernetes on Open Shift.
  • Should have experience with troubleshooting services deployed on Kubernetes.
  • Must have knowledge on Dev Ops Build/Release pipelines & understanding the Infrastructure needs.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills and ability to work collaboratively.
  • Knowledge of containerization (Docker, Kubernetes).
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