AI Platform Engineer (Gen AI)

Posted 2 Days Ago
Hiring Remotely in Milpitas, California , USA
In-Office or Remote
Senior level
Information Technology • Consulting
The Role
Design, build, and operate scalable GenAI platforms (AI Agents, RAG, Knowledge Graphs). Develop backend services, implement IaC and CI/CD, deploy on cloud-native and Kubernetes environments, and collaborate with data scientists and ML engineers to deliver production-grade AI infrastructure.
Summary Generated by Built In

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.


Requirements

Required Skills & Qualifications

·        8+ years of professional experience in software engineering or platform engineering.

·        Experience from internships, prototypes, or personal projects will not be considered toward the required years.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



Skills Required

  • 8+ years professional software or platform engineering experience (internships/prototypes excluded)
  • 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 and Retrieval-Augmented Generation (RAG)
  • Experience building Knowledge Graph platforms
  • Expertise in Graph databases, metadata ontology, and 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 using Terraform
  • Experience deploying and operating systems in cloud environments (AWS S3, Lambda, AWS Batch, AWS ECS)
  • Experience with Kubernetes-based services and containerized, cloud-agnostic environments
  • Experience building AI/ML platforms at scale
  • Experience with LLM orchestration frameworks (LangChain, LlamaIndex)
  • Familiarity with vector databases and embedding systems
  • Experience in distributed systems and microservices architecture
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The Company
HQ: Milpitas, California
647 Employees

What We Do

Veltris – Innovate, Accelerate, Transform to enable technology-driven Enterprise, Business, and Industry transformations. We are a next generation technology services company specializing in developing products, platforms and solutions in Data & Artificial Intelligence (“Data/AI”), Engineering R&D (“ER&D”) and Digital Product Engineering Services (“PES”).

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