Applied AI (Performance Testing Engineer)

Anlage Infotech; Hyderabad, Bengaluru; Hybrid; INR 1,500,000 - 2,100,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Anlage Infotech in Hyderabad/Bangalore is seeking an Assistant Manager/Manager level Applied AI Platform Engineer (Performance Engineer) with 6-13 years experience. The role requires hands-on performance testing and AI platform expertise.

You will work in a hybrid model (3 days in office, 2 days in home) and collaborate across front-end, back-end, ML and cloud teams.

Strong Python, cloud APIs, ML tooling, and experience with MLOps and LLM integration are essential for success.

Qualifications

• Bachelor's degree in CS/Software Eng/Data Science or related field.
• 10+ years of software and platform engineering experience with front-end, back-end, and ML stacks.
• Hands-on experience with performance engineering.
• 3+ years designing and operating AI/ML platforms.
• 3+ years cloud-native engineering on Azure/AWS/GCP.
• Experience with ML tooling, model serving, and observability.
• Experience with AI control-plane and LLM integration patterns.
• Experience with DevSecOps, SRE and CI/CD at platform scale.
• Ability to lead and mentor teams.

Responsibilities

• Design, build, and operate AI/ML platform infrastructure.
• Develop performance testing strategies and tooling.
• Lead AI/LLMOps tooling, model serving, and observability.
• Collaborate with product, data science and platform teams.
• Establish engineering standards and golden paths.

Skills

Performance Testing

Performance Engineer

LoadRunner

K6

Monitoring Tools

Cloud

AI Integration

LLMOps

Python

NodeJS

Kubernetes

Docker

PyTorch

TensorFlow

LangChain

Terraform

Databricks

CI/CD

Education

Bachelor's degree in CS/Software Eng/Data Science

Tools

Playwright

Selenium

Cucumber

BDD

Gherkin

GitHub

ArgoCD

SonarQube

Docker

Kubernetes

Terraform

Azure

AWS

GCP

Job description

Skill : APPLIED AI PLATFORM ENG. (PERFORMANCE ENGINEER)

Level : Assistant Manager /Manager

Experience : Assistant Manager(6-9 Yrs) /Manager(10-13 Yrs)

Work location: Assistant Manager(Hyderabad/Bangalore ) /Manager(Hyderabad)

Mode of Interview : virtual

Work Model-Hybrid (3 days work from office / 2 days work from home )

Primary Skills : Performance Testing+Performance Engineer+(Loadrunner/K6)+Monitoring tools +Cloud +AI (ChatGPT, Claude, Gemini, Copilot)

Required Qualifications:

• A bachelors degree in computer science, software engineering, data science, machine learning, or related discipline. Experience is the most relevant factor. Hands On experience with Performance Engineering is important.
• 10+ years of software and platform engineering experience with most of the following: Angular, React, NodeJS, Python(Mandatory), , C#, .NET, Java, Rust, SQL/NoSQL, PyTorch, TensorFlow, LangChain, LangGraph, LangSmith, LangFuse, Terraform, as well as unit, integration, and end-to-end testing frameworks & tools, specifically BDD, Gherkin, Cucumber, Playwright, and Selenium.
• 3+ years of experience designing, building, and operating AI/ML platform or infrastructure, with hands On experience across building tooling for MLOps/LLMOps, model serving, retrieval and vector infrastructure, and eval/observability instrumentation for LLM integration (OpenAI, Anthropic, or open-source models).
• 3+ years of experience with cloud-native engineering on any of the cloud hyperscalers such as Azure, AWS, or GCPincluding their AI/ML services such as Azure OpenAI, AWS Bedrock, or Vertex AI—as well as container orchestration (Kubernetes, Docker), Big Data, Databricks, CI/CD at platform scale, and distributed systems.
• 1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.
• Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt-injection, content, tool permissioning/tool-RBAC), policy-as-code, and multi-tenant isolation.
• Prior experience with enterprise data platform engineering: data pipelines, self-service and data-product enablement, governance-as-code enforcement, and metadata/lineage.
• Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
• Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high-quality platforms and products rapidly.