Applied AI Platform Engineer – Performance Engineering

Top Gen AI Jobs

Bengaluru

Hybrid

INR 4,498,000 - 7,263,000

Full time

5 days ago

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Job summary

leading Big 4 organization in Bengaluru/Hyderabad is seeking an Applied AI Platform Engineer – Performance Engineering with 6–13 years of experience to drive performance across AI/GenAI platforms.

Role involves building AI/ML platforms, performance testing, and collaborating across model serving, retrieval, vector infra, and observability, with hybrid work and travel up to 10%.

Qualifications

6–13 years of relevant experience in AI/GenAI platforms and performance engineering.
Hands-on Python development and model tooling experience.
Strong understanding of AI workflows, deployment, and observability.

Responsibilities

Combine software and platform engineering with modern AI/ML infrastructure and GenAI capabilities.
Build and support AI/ML platforms with a focus on performance.
Work on performance engineering and testing across AI/GenAI components.

Skills

LLMOps

Gen AI

ChatGPT

Claude

Gemini

Retrieval

Azure OpenAI

LangChain

AI/ML

MLOps

Performance Engineering

Performance Testing

LoadRunner

Python

Job description

Home/Jobs/Applied AI Platform Engineer – Performance Engineering

Applied AI Platform Engineer – Performance Engineering

Big 4 Organization

Hyderabad / Bengaluru

6-13 years

2 days ago

$47.0K–75.9K/yr

Full-time

Hybrid

Skills Required

LLMOps
Gen AI
ChatGPT
Claude
Gemini
Retrieval
Azure OpenAI
LangChain
AI/ML
MLOps
Performance Engineering
Performance Testing
LoadRunner
K6
Python

Description

Applied AI Platform Engineer roles focused on performance engineering, AI/GenAI, and cloud platforms for a leading Big 4 organization.

Company

leading Big 4 organization

Role

Applied AI Platform Engineer – Performance Engineering

Location

Hyderabad / Bangalore | Hyderabad | Hybrid – 3 Days WFO / 2 Days WFH

Experience

Assistant Manager: 6–9 years
Manager: 10–13 years
Strong Performance Engineering experience
Python hands-on experience mandatory
Manager-level team leadership experience
Experience establishing engineering standards and golden paths
Experience mentoring engineers
Experience building scalable AI/ML platforms

Responsibilities

Combine software and platform engineering with modern AI/ML infrastructure and GenAI capabilities
Build and support AI/ML platforms
Work on performance engineering and testing
Work across AI/ML and GenAI platform components
Work with model serving, retrieval, vector infrastructure, evaluation, and observability
Work with cloud platforms and managed AI services
Work with Kubernetes, Docker, Databricks, and distributed systems
Use Terraform, CI/CD, and infrastructure as code
Use OpenTelemetry and monitoring
Support DevSecOps and SRE practices
Work on AI control plane and agent runtime
Support MCP and A2A integration
Apply policy-as-code and AI guardrails

Additional Responsibilities

Interview process is virtual
Travel up to 10% based on business requirements

Nice To Have

Hands-on AI tools such as ChatGPT, Claude, Gemini, and Copilot
Azure OpenAI
AWS Bedrock
Vertex AI
LangChain
LangGraph
LangSmith
LangFuse

More Skills

Monitoring Tools, Cloud, AI/GenAI, Copilot, GenAI Platforms, Model Serving, Vector Infrastructure, AI Evaluation, Observability, Azure, AWS, GCP, AWS Bedrock, Vertex AI, Kubernetes, Docker, Databricks, Distributed Systems, Terraform, CI/CD, Infrastructure as Code, LangGraph, LangSmith, LangFuse, OpenTelemetry, DevSecOps, SRE, AI Control Plane, Agent Runtime, MCP, A2A Integration, Policy-as-Code, AI Guardrails

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