Job role insights

  • Date posted

    May 12, 2026

  • Closing date

    June 8, 2026

  • Offered salary

    Negotiable Price

  • Career level

    Middle Senior

  • Experience

    10+ Years 3 - 5 Years 6 - 9 Years

Description

Company: DataRobot

About the Company: DataRobot delivers AI that maximizes impact and minimizes business risk. Their platform integrates into core business processes so teams can develop, deliver, and govern AI at scale — enabling both predictive and generative AI across global enterprises.

Job Category: Software Engineering / GenAI / MLOps / Infrastructure

Contract Type: Full-Time, Permanent

Location: Remote — Worldwide

Salary: Competitive (estimated $200,000–$280,000 for US-based candidates)

Application Link: https://www.remoteitjobs.app/job/datarobot-staff-software-engineer-gen-ai

Posted: May 11, 2026

Skills Required: Python, Kubernetes, Infrastructure as Code, Microservices, LLMs, Generative AI, Docker, AWS, Azure, GCP, GPU Clusters, CI/CD, REST APIs

Job Description: You'll join the GenAI team responsible for developing the core services and infrastructure that power DataRobot's Generative AI offerings, enabling customers to build, deploy, and manage cutting-edge AI solutions at enterprise scale.

Key Responsibilities:

  • Build and scale core services and infrastructure powering DataRobot's GenAI product suite
  • Develop LLM integration, RAG pipelines, and vector search infrastructure
  • Work with GPU clusters and high-performance compute environments
  • Implement CI/CD pipelines and cloud-native microservices across AWS, Azure, and GCP
  • Collaborate with research and ML teams to take cutting-edge academic advances into production
  • Design for reliability, observability, and scalability at global enterprise scale

Requirements:

  • Strong Python and distributed systems engineering background
  • Hands-on experience with Kubernetes, Docker, and cloud infrastructure across at least one major cloud provider
  • Practical production experience with LLMs, generative AI, or ML infrastructure
  • Experience with GPU cluster management or high-performance compute environments
  • Strong communication skills and a collaborative approach across remote teams

Interested in this job?

27 days left to apply

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