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Ai Automation Developer Jobs in Alabama (NOW HIRING)

Continental Aerospace Technologies is seeking an AI Solutions Developer to accelerate the automation of business processes using AI technologies within the Microsoft ecosystem, including Power ...

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Ai Automation Developer information

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How much do ai automation developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for ai automation developer in Alabama is $47.20, according to ZipRecruiter salary data. Most workers in this role earn between $36.59 and $54.23 per hour, depending on experience, location, and employer.

What is the difference between Ai Automation Developer vs Data Scientist?

AspectAi Automation DeveloperData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; knowledge of AI/ML toolsBachelor's or higher in Statistics, Math, or CS; proficiency in data analysis and ML
Work EnvironmentDevelops AI automation solutions, often in tech or enterprise settingsAnalyzes data to extract insights, often in research or analytics teams
Employer & Industry UsageTech companies, automation firms, industries adopting AI solutionsResearch institutions, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, Ai Automation Developers focus on creating automated AI systems to streamline processes, whereas Data Scientists analyze data to inform business decisions. The roles often overlap but serve different primary functions within organizations.

Is AI automation a good career?

AI automation is a growing field with strong demand for professionals such as AI automation developers, who design and implement automated systems using machine learning and programming skills. It offers opportunities in various industries, competitive salaries, and the chance to work on innovative technologies, making it a promising career choice for those interested in technology and problem-solving.

What is the salary of AI automation developer?

The salary of an AI automation developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, programming, and automation tools like Python and TensorFlow tend to earn higher salaries.

What jobs can I do with AI automation?

AI Automation Developers can work in roles such as AI engineer, machine learning engineer, data scientist, automation analyst, or robotics process automation (RPA) developer. These jobs involve designing, implementing, and maintaining AI-driven systems, often requiring skills in programming, data analysis, and familiarity with AI tools like Python, TensorFlow, or UiPath.
Infographic showing various Ai Automation Developer job openings in Alabama as of August 2026, with employment types broken down into 75% Full Time, 20% Part Time, and 5% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $98,173 per year, or $47.2 per hour.

Senior AI Test Automation Engineer

Birmingham, AL โ€ข On-site

Other

Posted 3 days ago

New


Job description


  • Engage directly with users and stakeholders to collect feedback, observe real usage patterns, and identify consistent user flows through LLM-powered features

  • Translate user feedback and production traces into curated evaluation datasets in LangSmith

  • Design, build, and maintain offline evaluation suites for regression, benchmarking, and backtesting

  • Develop and calibrate heuristic/code-based checks, LLM-as-judge evaluators, and pairwise comparisons

  • Validate evaluator reliability against human review

  • Instrument and maintain end-to-end tracing across LangGraph agents and workflows using LangSmith

  • Manage annotation queues and human-in-the-loop feedback workflows

  • Analyze agent trajectories and multi-step LangGraph executions to identify failure points and distinguish LLM variance from product defects

  • Integrate evaluation runs and automated tests into CI/CD pipelines as quality gates

  • Support production auditing, online evaluations, quality drift detection, and alerting

  • Design, develop, and implement automated UI, API, integration, regression, and deterministic E2E tests for LLM-powered application surfaces

  • Collaborate with QA, development, product, and business teams to translate requirements, acceptance criteria, and expected agent behaviors into test and evaluation coverage

  • Analyze and triage automation test failures

  • Support test data management and test-environment stability

  • Report test results, evaluation outcomes, coverage, quality trends, and risks

  • Participate in code reviews and contribute to automation and evaluation standards, reusable components, and best practices

  • Engage with the QA Center of Excellence to align automation and AI evaluation practices with enterprise standards


Requirements

  • Must be eligible to work in the US without Visa Sponsorship

  • 5+ years of experience in test automation engineering, software quality assurance, or a related role

  • 1โ€“2+ years of handsโ€‘on experience testing or evaluating LLM-powered applications

  • Handsโ€‘on experience with LangSmith for tracing, evaluation, and observability of LLM applications

  • Handsโ€‘on experience with LangGraph, including graphโ€‘based agent workflows, state and context management, and tool calling

  • Handsโ€‘on experience building and maintaining automated test suites using Playwright, preferably with TypeScript

  • Working proficiency in Python and/or TypeScript

  • Experience automating UI and API testing, and experience with API testing tools or frameworks

  • Familiarity with CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, or equivalent

  • Working knowledge of Git

  • Understanding of Agile/Scrum delivery practices and participation in Agile ceremonies

  • Ability to analyze requirements and user feedback, identify test and eval scenarios, and create maintainable automated coverage

  • Strong problemโ€‘solving, troubleshooting, communication, and collaboration skills

  • Ability to understand and document endโ€‘toโ€‘end business processes, user journeys, and operational workflows

  • Experience with online evaluations, production monitoring, and quality drift detection for LLM applications

  • Experience with agent trajectory evaluation, RAG evaluation, or guardrails validation

  • Familiarity with prompt engineering and prompt versioning workflows

  • Understanding of statistical approaches to nondeterministic testing

  • Experience authoring BDD/Gherkin scenarios using Cucumber or a similar framework

  • Experience with contract testing tools

  • Familiarity with SAFe and Agile Release Train (ART) practices

  • Experience with AIโ€‘assisted engineering practices

  • Experience with performance, accessibility, mobile, or security test automation

  • Experience with test management and defectโ€‘tracking tools, such as Azure DevOps


Core Competencies

Demonstrates expertise in test automation engineering and quality assurance for LLM-powered applications, with a strong focus on developing and maintaining automated test suites, analyzing user feedback, and ensuring product quality through rigorous evaluation practices.


Highest-signal resume keywords

  • Test Automation Engineering

  • LangSmith Experience

  • LangGraph Workflows

  • Automated Test Suites Development

  • CI/CD Tools Familiarity


Hard Skills

  • Test Automation Engineering

  • LLM Application Evaluation

  • Automated UI Testing

  • API Testing

  • Python Programming

  • TypeScript Programming

  • BDD/Gherkin Scenarios

  • Statistical Testing Approaches

  • Performance Test Automation

  • Accessibility Test Automation


Soft Skills

  • Problemโ€‘Solving

  • Troubleshooting

  • Communication

  • Collaboration


Industry Keywords

  • Agile Practices

  • Scrum

  • Quality Drift Detection

  • Humanโ€‘inโ€‘theโ€‘Loop Workflows

  • Production Monitoring


Tools & Technologies

  • LangSmith

  • LangGraph
  • Playwright

  • Azure DevOps

  • Jenkins

  • GitHub Actions

  • Cucumber

  • Test Management Tools

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