Platform Engineer

Role Overview

Veltris is seeking an AI Platform Engineer (Gen AI) with 8+ years of platform/software engineering experience to design, build, and operate scalable AI platforms in remote, US-based environments. You will deliver production-grade GenAI infrastructure powering AI Agents, RAG, and Knowledge Graph systems.

Responsibilities

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

Requirements

• 8+ years professional experience in software/platform engineering (internships/prototypes/personal projects do not count)
• Strong system integration and API design experience (CRM-related toolsets)
• Strong development experience in Python or Java
• Hands-on experience building production-grade Generative AI systems
• Experience with:
  • AI Agents
  • RAG
  • Knowledge Graph platforms
• Expertise with graph databases, metadata ontology, and graph-based RAG architectures
• Strong DevOps culture and practices
• Hands-on CI/CD and IaC experience (GitHub Actions/Jenkins, Terraform)
• Experience deploying/operating in cloud environments using:
  • AWS services (S3, Lambda, AWS Batch, AWS ECS)
  • Kubernetes

Preferred / Nice-to-Have

• Experience building AI/ML platforms at scale
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, etc.)
• Familiarity with vector databases and embedding systems
• Experience with distributed systems and microservices architecture