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Testim Jobs in California (NOW HIRING)

Jobzhr

Artificial Intelligence Engineer

Alameda, CA · On-site

$137.76 - $165.31/hr

Tricentis Testim/Tosca, ACCELQ, Mabl, LambdaTest, Katalon * Enterprise LLM platforms (e.g., Claude, OpenAI, or similar) * Strong understanding of LLM architectures (RAG, fine-tuning, embeddings ...

Planet DDS

QA Engineer III (AI-Powered)

Irvine, CA · On-site

$40 - $55/hr

Track record using AI-powered software testing tools like Applitools, Testim, Mabl, TestRigor, TestComplete, UI-TARS, Midscene and Puppeteer * Experience in automation testing and building automation ...

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Testim information

What is Testim and what does a Testim engineer do?

Testim is an AI-powered test automation platform primarily used for automating web application testing. A Testim engineer is responsible for creating, maintaining, and executing automated tests using the Testim platform to ensure software quality and reliability. They work closely with development and QA teams to integrate automated testing into the software development lifecycle, identify defects, and improve test coverage. These engineers also analyze test results and troubleshoot issues to streamline the testing process.

What are the key skills and qualifications needed to thrive as a test automation engineer using Testim?

To thrive as a Test Automation Engineer using Testim, you need a solid understanding of software testing principles, experience with test automation frameworks, and familiarity with programming languages such as JavaScript. Expertise in using Testim's platform for creating, executing, and maintaining automated UI tests, along with knowledge of CI/CD tools, is highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help distinguish top performers in this role. These skills ensure reliable, scalable test coverage and efficient collaboration, leading to higher software quality and faster release cycles.

What are some common challenges faced by automation engineers using Testim, and how can they be overcome?

Automation engineers using Testim often encounter challenges such as maintaining test stability as applications evolve, managing complex test scenarios, and ensuring seamless integration with CI/CD pipelines. To overcome these issues, it's important to regularly update and refactor test cases, leverage Testim’s AI-powered self-healing features, and collaborate closely with development and QA teams to align on testing priorities. Additionally, utilizing Testim’s robust documentation and support resources can help quickly resolve technical hurdles and improve overall test coverage.

What is the difference between Testim vs QA Tester?

AspectTestimQA Tester
Required CredentialsTypically requires knowledge of automation tools, scripting, and software testing principlesUsually requires a degree in computer science or related field, with knowledge of manual testing
Work EnvironmentPrimarily in software development teams, focusing on automation and continuous testingOften in quality assurance teams, performing manual and exploratory testing
Employer & Industry UsageUsed in tech companies, startups, and organizations emphasizing automated testingCommon across various industries including tech, manufacturing, and healthcare for manual testing roles

Testim is an automated testing platform focusing on creating and maintaining automated test cases, while QA Testers perform manual testing to identify bugs and ensure quality. Both roles are essential in software development but differ in approach and skill requirements.

What are popular job titles related to Testim jobs in California?

For Testim jobs in California, the most frequently searched job titles are:

What job categories do people searching Testim jobs in California look for?

The top searched job categories for Testim jobs in California are:

What cities in California are hiring for Testim jobs?

Cities in California with the most Testim job openings:

Testim jobs near you
Infographic showing various Testim job openings in California as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Artificial Intelligence Engineer

Jobzhr

Alameda, CA • On-site

$137.76 - $165.31/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Design, build, and operationalize AI quality engineering testing platforms, tools, and utilities.

  • Lead the design, implementation, and operation of AI QE testing platforms supporting a multi-platform AI ecosystem.

  • Define and mature enterprise AI QE test platform architecture across cloud and data ecosystems.

Job description

Akkodis is seeking an AI Test Lead role is 12 months contract role with a client located in Alameda, CA.

Pay Range: $100-$120/hr; The rate may be negotiable based on experience, education, geographic location, and other factors.

Role Overview

Seeking a forward-thinking AI Platform Test Lead to design, build, and operationalize the QE testing leveraging AI tools and utilities to accelerate innovation in ITs Software Development Lifecycle.

This role will lead the design, implementation and operations of AI QE testing platforms, tools and utilities to support a multi-platform AI ecosystem, spanning AWS (Bedrock, SageMaker), Databricks (Mosaic AI), Claude for Enterprise, and emerging AI-native / agentic engineering tools and platforms. The AI QE test platforms will also be used with non-AI software products. This role will ensure scalable, secure, and compliant deployment of AI capabilities while enabling rapid experimentation and adoption.

A critical success factor is the ability to stay ahead of industry trends, quickly validate new technologies, and operationalize high-value capabilities in a regulated life sciences environment.

Key Responsibilities
  • AI QE Test Platform Strategy & Architecture
    • Help define and mature enterprise AI QE Test platform architecture across cloud and data ecosystems
    • Design interoperable AI driven QE test solutions to support software solutions to support
    • AWS AI stack (Bedrock, SageMaker, model hosting, orchestration)
    • Databricks / Mosaic AI (ML lifecycle, feature engineering, LLM ops)
    • Claude for Enterprise (secure conversational AI and enterprise workflows)
    • SaaS and in-house developed software products
  • AI Capability Engineering & Operations
    • Operationalize reusable AI capabilities:
      • Prompt, tool, and agent orchestration frameworks
      • Evaluation, monitoring, and observability pipelines
      • Enable secure, compliant AI usage (GxP, HIPAA where applicable)
    • Implement AI platform guardrails
    • Auditability and traceability
  • Design and operationalize Defect Statistics
  • Drive adoption of agentic software development lifecycle (SDLC) practices
  • Define frameworks for:
    • Spec-driven agentic development (Claude Code, Github Copilot, code agents)
    • Autonomous/semiautonomous agents across workflows
  • Integrate AI-native platforms into enterprise engineering workflows (CI/CD, DevSecOps)
Required Qualifications
  • 5+ years in software quality engineering and testing, AI/ML engineering
  • 3+ years hands-on experience with AI Test platforms (AWS preferred)
  • Proven experience with:
    • Experience with one or more AI QE Testing Platforms: Tricentis Testim/Tosca, ACCELQ, Mabl, LambdaTest, Katalon
    • Enterprise LLM platforms (e.g., Claude, OpenAI, or similar)
    • Strong understanding of LLM architectures (RAG, fine-tuning, embeddings, Vector DBs, Graph DBs, Multi agent orchestration)
Preferred Qualifications
  • Familiarity with:
    • GxP validation processes for AI/ML systems
  • Exposure to:
    • Agent frameworks (LangChain, Semantic Kernel, etc.)
    • AI testimg and evaluation tooling
    • Multi-cloud / hybrid architectures
Key Competencies
  • Strategic + hands-on balance (thinks like an architect, executes like an engineer)
  • Ability to translate emerging AI trends into enterprise value
  • Strong systems thinking across platforms, data, and workflows
  • Excellent stakeholder communication-able to influence senior leadership and engineering teams alike
  • Bias for action-rapid experimentation and iterative delivery

Equal Opportunity Employer/Veterans/Disabled

  • medical
  • dental
  • vision
  • life insurance
  • short-term disability
  • additional voluntary benefits
  • an EAP program
  • commuter benefits
  • a 401K plan

paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law

Holiday pay where applicable

To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy.

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
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