Artificial Intelligence Engineer

Cloudxtreme; Hyderabad, Bengaluru, Mumbai; On-site; INR 300,000 - 350,000; Full time

Job summary

Cloudxtreme seeks an experienced Cloud AI Engineer with deep AWS EKS/Lambda/S3 expertise and strong Python skills. You will design multi-tenant AI platforms with fault tolerance, integrate identity patterns, and implement gateway APIs using Kong and MCP servers.

Experience with Bedrock Agent Core and EKS/ECR is required. The role emphasizes observability across CloudWatch/X-Ray/Splunk/New Relic, REST/SOAP/GraphQL, OAuth2, and streaming protocols, ensuring secure, scalable API delivery and infra

Qualifications

• 5+ years experience with AWS EKS, Lambda, S3, OpenShift.
• Enterprise identity patterns (IAM roles/SCPs, Cognito federation, Okta SSO)
• Hands-on Python programming experience
• Strong observability across CloudWatch/X-Ray/Splunk/New Relic stacks
• Distributed systems design for multi-tenant AI platforms with fault tolerance and compliance
• Knowledge of design plat APIs REST/SOAP/GraphQL/OAuth2/streaming protocols/A2A
• Development experience with MCP server tools for APIs and browser integrations
• Deep gateway experience (Kong, MCP servers, LLM routing, rate limiting, guardrails)
• Expert Terraform IaC (modules, state management, AWS providers) and Jenkins pipeline development Should have Bedrock, Agent Core, EKS/ECR experience

Skills

Python

Bedrock Agent Core

Gen AI

LLMs

Agentic AI

IAM

Cognito

AWS EKS

S3

OpenShift

Tools

Terraform IaC

Jenkins

Kong

MCP servers

OpenShift

Job description

Preferred candidate profile

Skills needed with Candidate: Python , Bedrock Agent Core, Gen AI, Understanding various LLMs, Agentic AI , AWS Services IAM, Cognito , AWS EKS, Lamba, S3

Elaborated Details

• 5+ years experience with AWS EKS, Lamba, S3, Open shift
• Enterprise identity patterns (IAM roles/SCPs, Cognito federation, Okta SSO)
• Should have hands on experience with python programming
• Strong observability implementation across CloudWatch/X-Ray/Splunk/New Relic stacks
• Distributed systems design for multi-tenant AI platforms with fault tolerance and compliance
• Good to have knowledge with Design platform APIs supporting REST, SOAP, Graph-QL, OAuth2, streaming protocols, and A2A communication
• Development experience with MCP server tools for APIs and browser integrations
• Deep gateway experience (Kong, MCP servers, LLM routing, rate limiting, guardrails)
• Expert Terraform IaC (modules, state management, AWS providers) and Jenkins pipeline development Should have Bedrock, Agent Core, EKS/ECR experience