QA Automation Engineer

Kairos; Dallas (TX); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Kairos in Dallas, TX is seeking a QA Automation Engineer with AI for a 12+ month hybrid position. This senior role requires hands-on automation across APIs, services, and frontend/backend, plus deep Python or Java coding, and experience with AI-enabled testing approaches.

You'll build and scale automation frameworks from scratch, integrate with CI/CD, and work with AWS, container tech, and agentic AI tools. Local candidates only for a hybrid office-based setup.

Skills

Automation testing

SDET

AI/LLM experience

CI/CD pipelines

Agentic AI

RAG workflows

LLM reasoning

Security testing

Chaos engineering

Open-source testing

Distributed systems

Tools

Python

Java

Playwright

WebdriverIO

Docker

Kubernetes

AWS

LangChain

CrewAI

AutoGen

LlamaIndex

OpenTelemetry

Datadog

CloudWatch

Terraform

REST APIs

Job description

Location: Dallas, TX ---- Hybrid

Duration: 12+ months

Locals Only

QA Automation Engineer with AI

Required Qualifications

• 10+ years as an Automation Engineer , SDET, Software Engineer, or FullStack Developer.
• Strong coding skills in Python or Java with production grade engineering experience.
• Handson frontend development experience (React, Angular, Vue, or similar).
• Handson backend development experience with APIs, microservices, and distributed systems.
• Expertise in API testing, contract testing, and service level automation.
• Experience building automation frameworks from scratch.
• Strong understanding of CI/CD pipelines and automated quality gates.
• Experience with AWS services (EC2, Lambda, S3, IAM, CloudFormation/Terraform).
• Experience integrating or building solutions using LLMs or Amazon Bedrock.
• Agentic AI Experience: Hands-on experience building and deploying production-ready agentic applications or multi-agent workflows.
• AI Orchestration Frameworks: Deep familiarity with agentic frameworks such as LangChain, CrewAI, AutoGen, or LlamaIndex.
• Advanced AI Patterns: Solid understanding of LLM reasoning patterns, retrieval-augmented generation (RAG), function calling/tool execution, and agent memory management.
• Familiarity with containers (Docker) and orchestration (Kubernetes).
• Experience with frontend automation tools (Playwright, WebdriverIO).
• Experience with distributed tracing and observability tools (CloudWatch, Datadog, OpenTelemetry).
• Knowledge of performance testing tools (k6, Gatling, Locust).
• Experience with eventdriven architectures (Kafka, SNS/SQS).
• Background in security testing or chaos engineering.
• Contributions to internal or opensource testing frameworks.