AI Engineer, AIOps & Infrastructure

Eloquent AI
San Francisco
Workplace: OnsiteFull timeUSD 150,000 - 250,000 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Problem-solving","Communication","Teamwork"]

Senior Software Engineer focused on designing, building, and optimizing scalable AI infrastructure to support deployment and operation of enterprise AI agents. You will automate LLMOps/MLOps workflows, optimize GPU workloads, and develop Kubernetes-based solutions, ensuring observability, security, and high availability in a production-scale environment.

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FursaFursa
Eloquent AI
Eloquent AI
1 year ago

AI Engineer, AIOps & Infrastructure

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 15 hours agoStatus: Live

Job Summary

Senior Software Engineer focused on designing, building, and optimizing scalable AI infrastructure to support deployment and operation of enterprise AI agents. You will automate LLMOps/MLOps workflows, optimize GPU workloads, and develop Kubernetes-based solutions, ensuring observability, security, and high availability in a production-scale environment.
Location: San Francisco
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Design and build scalable ML infrastructure for deploying and maintaining AI agents in production.
  • •Automate LLMOps and MLOps workflows, ensuring seamless model training, fine-tuning, deployment, and monitoring.
  • •Optimize GPU and cloud compute workloads, improving efficiency and reducing latency for large-scale AI systems.
  • •Develop Kubernetes-based solutions, including custom operators for ML model orchestration.
  • •Improve system observability and reliability, implementing logging, monitoring, and performance tracking for AI models.

Pay and Benefits

Salary: USD 150,000 - 250,000 annually

Key Requirements

  • •5+ years of experience in software engineering, MLOps, or infrastructure development.
  • •Strong expertise in Kubernetes and experience managing containerized ML workloads.
  • •Deep understanding of cloud platforms (AWS, GCP, Azure) and distributed computing.
  • •Proficiency in Python, with experience developing services for ML/AI applications.
  • •Experience with ML model deployment pipelines, including model serving, inference optimization, and monitoring.
Experience:5+ yearsAIMLMLOpsInfrastructure
Skills:Problem-solvingCommunicationTeamwork
Tech Stack:KubernetesAWSGCPAzurePythonLLMOpsMLOpsGPUVector databasesRAG

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

Eloquent AI
Develops advanced generative voice and conversational AI technologies to create realistic, expressive speech synthesis and voice-centric agents for creators and enterprises, focusing on natural prosody, controllable style, and high-quality audio generation.
Industry: AI & Machine Learning
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