WE ARE HIRING | AI PLATFORM ENGINEER

Location: Bangalore

Experience: 6–8 Years

Work Mode: On-Site

CTC: ₹15–17 LPA

ROLE OVERVIEW

We are looking for an experienced AI Platform Engineer to build and support production-grade AI/LLM platforms, orchestration workflows, automation, and CI/CD pipelines.

KEY RESPONSIBILITIES

Design, develop, and maintain production-grade AI/LLM platform solutions
Build and manage LLM orchestration workflows and agent-based systems
Implement Agent Loops, State Machines, and ReAct patterns
Develop and maintain CI/CD pipelines for AI applications and platform deployments
Automate deployment, environments, security, and platform operations
Design and implement REST/OpenAPI-based APIs
Establish prompt versioning, testing, evaluation, and optimization practices
Collaborate with engineering and DevSecOps teams to deliver scalable and reliable AI solutions

REQUIRED SKILLS

Strong hands-on experience with Python for production-grade applications
Experience with LLM orchestration frameworks such as LangGraph, LangChain, Bedrock, or Cortex
Strong understanding of Agent Loops, State Machines, and ReAct patterns
Experience with Prompt Engineering, versioning, testing, and evaluation
Hands-on experience with CI/CD; GitLab CI/CD highly preferred
Experience with GitLab pipelines, runners, deployment, environments, security, and automation
Strong understanding of DevSecOps practices
Experience in API design and development using REST/OpenAPI
Strong software engineering and troubleshooting skills

Skill richieste

Python (production-grade application development)LLM Orchestration Frameworks (LangChain, LangGraph, Bedrock, Cortex)Agent Loops design and implementationState Machine design for orchestrationsReAct pattern implementationPrompt Engineering, versioning, testing and evaluationCI/CD for AI applications (GitLab CI/CD)GitLab pipelines, runners, deployment and environment automationDevSecOps practices (security-integrated DevOps)REST/OpenAPI API design and developmentDeployment and infrastructure automationProduction-grade AI/LLM platform development and maintenanceSoftware engineering and troubleshootingCross-team collaboration with engineering and DevSecOps teams

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