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Pytest Jobs in Decatur, GA (NOW HIRING)

Deloitte

Automation Engineer

Atlanta, GA · On-site

Qualifications Required * 4+ years of experience with Python development including building clean, efficient, and maintainable automation and testing solutions using tools such as PyTest, Robot ...

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Pytest information

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$33

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How much do pytest jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for pytest in Decatur, GA is $33.04, according to ZipRecruiter salary data. Most workers in this role earn between $21.35 and $43.89 per hour, depending on experience, location, and employer.

What is Pytest and what is it used for?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest Automation Engineer, and why are they important?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What are popular job titles related to Pytest jobs in Decatur, GA? For Pytest jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Decatur, GA look for? The top searched job categories for Pytest jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Pytest jobs? Cities near Decatur, GA with the most Pytest job openings:
Pytest jobs near you

Senior Engineer - Agentic AI

Tata Consultancy Service Limited

Atlanta, GA • On-site

$115K - $155K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Role: Senior Engineer - Agentic AI
Location options: Any US Location
Job Description:
Preface: The Agentic AI Engineer is a hands-on development role at TCS (Americas) specializing in building and deploying AI agent solutions for clients. As businesses shift toward agentic AIautonomous systems that execute tasks independentlyroles like AI Agent Engineer have emerged. In this client-facing consulting position, youll work in a hybrid environment, delivering cutting-edge AI agents that blend large language models, custom prompts, data sources, and business logic. Projects can range from financial chatbots to manufacturing optimizers, requiring advanced prompt engineering, Retrieval-Augmented Generation (RAG), and strong software skills.
What You Would Be Doing
• Develop AI Agents & Applications: Code the core logic for AI agents, whether standalone or in multi-agent systems, enabling them to answer questions, generate content, or execute transactions.
• Coding with LLMs and Tools: Use Python or similar languages to integrate large language models (LLMs) and external tools (e.g., APIs, web search, databases).
• Prompt Engineering & Optimization: Craft, refine, and test prompts to guide agent behavior, including fallback strategies for uncertainty.
• Implement RAG for Knowledge: Connect AI agents to vector databases or search indices to ground outputs in up-to-date, domain-specific information.
• System Integration & APIs: Integrate AI agents with external systems (e.g., travel booking APIs, payment gateways), handling formatting, RESTful calls, and data responses as needed.
• Testing and Iteration: Simulate agent behavior, identify and fix failure modes, and tune prompts and code for high-quality results.
• Deploy AI Solutions: Package and deploy agent applications (Docker, cloud), ensuring scalability and proper configuration.
• Collaboration & Agile Deliver y: Work with AI Architects, Data Engineers, and UX Developers in agile teams, contributing to sprints and client demos.
• Industry-Specific Customization: Tailor solutions for each industry, adapting compliance, personalization, and integration as needed.
• Adhere to AI Ethics & Safety: Implement guardrails, content moderation, and privacy measures, following TCSs responsible AI guidelines.
What Skills Are Expected
• Programming & Software Engineering: Expertise in Python (and optionally Java, JavaScript, or C#), unit testing, and version control (Git).
• AI/ML Knowledge: Solid grasp of machine learning and AI concepts, model behavior, and experience with NLP or chatbots.
• Prompt Engineering: Experience crafting and iterating prompts, including few-shot examples and output formatting techniques.
• RAG and Data Handling: Familiarity with embedding models, vector databases, and unstructured data processing.
• API and Integration Skills: Building and consuming RESTful APIs, microservices, and handling JSON/XML data formats.
• Data Structures & Algorithms: Knowledge of lists, dictionaries, trees/graphs, and their application in efficient agent design.
• Debugging & Problem-Solving: Strong troubleshooting abilities to distinguish between model and code issues.
• Agile and Collaborative Mindset: Comfortable working in sprints, collaborating across teams, and communicating technical needs.
• Domain Adaptability: Ability to quickly learn new industry concepts for tailored agent solutions.
• Attention to Detail & Quality: Consideration of edge cases, proper data handling, and thorough testing.
• Ethical Awareness: Recognize bias, confidentiality issues, and flag questionable requests.
Key Technology Capabilities
• Languages & Framewo rks: Mastery of Python for AI/ML, with exposure to JavaScript/TypeScript, FastAPI, or Flask for APIs.
• AI/ML Tools: Experience with AI model APIs (OpenAI, Azure OpenAI), and ML frameworks like PyTorch or TensorFlow.
• Agent Development Libraries: Hands-on with LangChain or similar frameworks for prompt management and agent logic.
• Databases & Data Access: Working with SQL, NoSQL, and vector databases (e.g., Pinecone, Weaviate) for data retrieval.
• DevOps & Deployment: Familiarity with Docker, CI/CD, and cloud deployment (AWS, Azure, GCP, Lambda/Functions).
• Version Control & Collaboration: Proficient with Git and DevOps platforms (GitHub, GitLab, Bitbucket).
• Testing Tools: PyTest, Postman, and AI evaluation methods.
• Cloud & Services: Practical knowledge of cloud AI offerings and environment configuration.
• Messaging & Async Processing: Experience with event-driven workflows (RabbitMQ, Kafka, SQS) is a plus.
• Monitoring & Logging: Implementing logging (Python logging, CloudWatch, Application Insights) for tracking and debugging.
• Frameworks for UI (optional): Familiarity with Streamlit or basic web development for internal agent demos.
• Security & Compliance Tools: Handling OAuth, encryption, and compliance libraries for regulated industries.
• Source Data Tools: Using NLP libraries for text preprocessing and embeddings (e.g., sentence-transformers, Jupyter notebooks).
Salary Range: $115,000 - $155,000 a year
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