AI Platform Engineer (Gen AI)

Posted 2 Days Ago
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Bengaluru North, Yelahanka, Bengaluru Urban, Karnataka, IND
In-Office
Senior level
Information Technology • Consulting
The Role
Design, build, and operate production GenAI or knowledge-graph platforms. Develop in Python/Java, implement CI/CD and Terraform IaC, and deploy cloud-native (AWS serverless) or cloud-agnostic (Kubernetes) solutions following DevOps practices.
Summary Generated by Built In

AI Platform Engineer (Gen AI):

 

1. 8+ years experiences on relevant field below (Internship, prototype, and personal projects do not count)

2. Python (or Java) Coding is required.

3. Expert in one of these areas:

    a. Gen AI: (AI Agent, RAG) at production level

    b. Knowledge Graph (Graph databases, Metadata Ontology, Graph RAG)

 

4. Experience in DevOps Culture (Own development – deployment end to end)

                a. CICD experience: Github action or Jenkin.

                b, Infrastructure as code: Terraform

 

5. Experience in building or deploying solution in the cloud. Either on Cloud Native or Agnostic solutions:

                a. Cloud Native (Serverless): S3, Lambda, AWS Batch, ECS

                b. Cloud Agnostic: Kubernetes services.



Skills Required

  • 8+ years of relevant experience (internship, prototype, or personal projects do not count)
  • Python or Java coding experience
  • Production-level expertise in Gen AI (AI Agents, RAG)
  • Production-level expertise in Knowledge Graphs (graph databases, metadata ontology, graph RAG)
  • Experience with DevOps culture owning development-to-deployment end-to-end
  • CI/CD experience (GitHub Actions or Jenkins)
  • Infrastructure as Code using Terraform
  • Experience building or deploying cloud solutions: AWS serverless (S3, Lambda, AWS Batch, ECS) or Kubernetes-based deployments
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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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