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AI Platform Engineer (Gen AI)

Veltris

AI Platform Engineer (Gen AI)

This is a remote position. Job Title: AI Platform Engineer (Gen AI) Experience: 8 Years Location: US

Job Summary: We are looking for an experienced Platform Engineer specializing in Generative AI to design, build, and operate scalable AI platforms that support advanced AI capabilities such as AI Agents, Retrieval-Augmented Generation (RAG), and Knowledge Graph systems. The ideal candidate will combine strong software engineering skills with cloud-native platform development and DevOps practices to deliver reliable, production-grade AI solutions.

Key Responsibilities:

  • Design, build, and maintain platform infrastructure for Generative AI applications.
  • Develop scalable backend services using Python or Java.
  • Build and operate production-grade AI systems, including:
    • AI Agents
    • Retrieval-Augmented Generation (RAG)
    • Knowledge Graph based systems
  • Implement end-to-end DevOps practices, owning the lifecycle from development through deployment and monitoring.
  • Design and manage CI/CD pipelines using tools such as GitHub Actions or Jenkins.
  • Implement Infrastructure as Code (IaC) using Terraform.
  • Deploy and manage applications on cloud platforms using both:
    • Cloud-native services
    • Containerized, cloud-agnostic environments
  • Work closely with data scientists, ML engineers, and platform teams to deliver scalable AI infrastructure.

Required Skills & Qualifications:

  • 8+ years of professional experience in software engineering or platform engineering.
  • Strong understanding of system integration and API design with CRM related toolsets.
  • Strong development experience in Python or Java.
  • Hands-on experience building production-grade Generative AI systems.
  • Experience with AI Agents & Retrieval-Augmented Generation (RAG).
  • Experience building Knowledge Graph platforms.
  • Expertise in Graph databases, Metadata ontology, Graph-based RAG architectures.
  • Strong experience in DevOps culture and practices.
  • Hands-on experience with:
    • CI/CD pipelines (GitHub Actions or Jenkins)
    • Infrastructure as Code (Terraform)
    • Experience deploying and operating systems in cloud environments: Cloud Native(AWS S3, Lambda, AWS batch, AWS ECS) and Kubernetes-based services.

Preferred / Nice-to-Have Skills:

  • Experience building AI platforms or ML platforms at scale.
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.).
  • Familiarity with vector databases and embedding systems.
  • Experience in distributed systems and microservices architecture.
Vacancy posted 2 days ago
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