AI PLATFORM ENGINEER
Vrinda International
- Location
- Onsite (Bangalore, Karnataka)
- Compensation
- $1500k - $1700k/yr
- Employment
- Full-time
- Level
- Senior Level
Posted Today
About the Role
Vrinda International is seeking an AI Platform Engineer to design and maintain production-grade AI/LLM platform solutions and orchestration workflows. The role focuses on building scalable, reliable AI deployments through automation and robust CI/CD practices.
Skills
Python
LangGraph
LangChain
Bedrock
Cortex
Agent Loops
State Machines
ReAct patterns
Prompt Engineering
CI/CD
GitLab CI/CD
REST
OpenAPI
DevSecOps
Automation
LLM Orchestration
Full job details
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