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Cursor Ai Jobs in Decatur, GA (NOW HIRING)

Strong familiarity with DevOps, development of Infrastructure as Code (IaC), modern AI development platforms (Codex, Python, Bicep, Claude Code, GitHub, Cursor). * Proficiency in Microsoft CoPilot ...

Strong familiarity with DevOps, development of Infrastructure as Code (IaC), modern AI development platforms (Codex, Python, Bicep, Claude Code, GitHub, Cursor). * Proficiency in Microsoft CoPilot ...

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM-enabled engineering tools * Hands-on experience building AI-enabled workflows, agents ...

Senior AI Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Hands-on experience with Python and modern AI development tools such as Claude, Copilot, Cursor, or similar LLM-enabled engineering tools * Hands-on experience building AI-enabled workflows, agents ...

Fluency with AI coding assistants/tools (e.g., Cursor, Codex, Claude Code, or Copilot) and AI augmented workflows, prompting, refactors, tests, code review, and tool/use policy hygiene * Ability to ...

Fluency with AI coding assistants/tools (e.g., Cursor, Codex, Claude Code, or Copilot) and AI augmented workflows, prompting, refactors, tests, code review, and tool/use policy hygiene * Ability to ...

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Cursor Ai information

What is the difference between Cursor Ai vs Data Analyst?

AspectCursor AiData Analyst
Required CredentialsTechnical skills, AI/ML knowledge, programmingDegree in statistics, mathematics, or related field
Work EnvironmentTech companies, AI startups, software development teamsBusiness, finance, healthcare, and various industries
Employer & Industry UsageAI-driven projects, software development, automationData interpretation, reporting, decision support

Cursor Ai focuses on developing AI tools and automation solutions, requiring technical and programming skills. Data Analysts interpret data to inform business decisions, often working with statistical tools. While both roles involve data, Cursor Ai is more technical and AI-oriented, whereas Data Analysts focus on data interpretation and reporting.

How does a Cursor AI Engineer typically collaborate with cross-functional teams to deliver AI-driven solutions?

As a Cursor AI Engineer, you will frequently work with product managers, data scientists, and software engineers to translate business needs into scalable AI solutions. Collaboration often involves participating in agile sprints, sharing updates during stand-up meetings, and reviewing code or model performance with peers. It's common to contribute both to backend systems and user-facing features, requiring strong communication skills to align technical work with broader project goals. This collaborative approach not only helps deliver impactful products but also provides opportunities to learn from professionals in diverse roles.

Is Cursor AI a good company to work for?

Cursor AI is a technology company focused on AI-driven solutions, and employment at such companies often involves collaboration on innovative projects, flexible schedules, and technical skill development. However, specific employee experiences and company culture should be researched through reviews and direct inquiries to determine if it aligns with individual career goals.

Which 3 jobs will survive AI?

Jobs that require complex human interaction, creativity, and critical thinking, such as healthcare professionals, software developers, and skilled trades like electricians or plumbers, are likely to persist despite AI advancements. These roles often involve nuanced decision-making, emotional intelligence, and hands-on skills that are difficult for AI to replicate. Continuous learning and adaptability are essential for job security in an evolving AI landscape.

Is Cursor AI in demand?

Cursor AI is a relatively new role focused on developing and managing AI-driven cursor and interface tools. As AI integration in software and user experience design grows, demand for professionals with skills in AI, machine learning, and UI/UX is increasing, which can positively impact roles like Cursor AI. However, specific demand levels depend on industry adoption and company needs.

Is Elon Musk buying Cursor AI?

There is no publicly available information indicating that Elon Musk is involved in purchasing or investing in Cursor AI. As a job seeker, focus on the company's growth, leadership, and technology stack when considering employment opportunities. Any acquisition or investment news would typically be announced through official channels.

What is Cursor AI?

Cursor AI is an advanced AI-powered code editor designed to assist software developers in writing, debugging, and understanding code more efficiently. It leverages artificial intelligence to provide context-aware code completions, automated code explanations, and suggestions, as well as tools for collaborative coding. Cursor AI aims to streamline the software development process by integrating with popular programming languages and development environments, making it easier for developers to create high-quality software. Its features help improve productivity, reduce errors, and support learning for both novice and experienced programmers.

What are the key skills and qualifications needed to thrive as an AI Engineer, and why are they important?

To thrive as an AI Engineer, you need a solid background in computer science, mathematics, and machine learning, often demonstrated by a relevant degree or industry experience. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and cloud platforms is typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, creativity, and effective communication distinguish top performers in this field. These skills and qualities are essential for developing innovative AI solutions that address complex business challenges and drive technological advancement.
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Lead AI Automation Engineer(Agentic Frameworks)

Lead AI Automation Engineer(Agentic Frameworks)

Inficare Technologies

Atlanta, GA • On-site

Full-time

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


Job description

  • We are seeking a visionary Lead AI Automation Engineer to spearhead the transition from traditional testing to an AI-infused Software Testing Life Cycle (STLC). You will be responsible for designing and building a proprietary Agentic AI Platform that automates the journey from initial requirements to executable automation scripts.
  • This is not a role for a prompt engineer; we are looking for a builder who can develop a multi-agent orchestration layer using our internal Large Language Models (LLMs) to redefine quality engineering.

Key Responsibilities:
  • Platform Architecture: Design and build an Agentic Platform that utilizes specialized LLM agents to handle distinct phases of the STLC.
  • Agent Development: Develop and fine-tune specialized AI agents, including:
  • Product Owner Agent: To analyze requirements and draft comprehensive user stories.
  • Test Lead Agent: To derive complex test scenarios and cases from stories.
  • Automation Engineer Agent: To automatically generate high-quality Playwright scripts.
  • Orchestration & Integration: Build the "connected intelligence layer" by integrating the AI platform with ALM tools and Jira.
  • Technical Leadership: Lead the engineering team through a significant technology and mindset shift, moving away from manual script maintenance toward AI-driven generation.
  • Framework Evolution: Transition existing automation frameworks into an AI-first ecosystem, ensuring compatibility with tools like Model Context Protocol (MCP) servers.

Required Technical Skills:
  • AI/ML Engineering: Proven experience building Agentic Workflows and multi-agent orchestration (e.g., LangGraph, AutoGen, or CrewAI).
  • LLM Implementation: Deep understanding of integrating LLMs into production environments beyond simple API calls, including knowledge of RAG frameworks.
  • Advanced Automation: Expert-level proficiency in Playwright and modern TypeScript/JavaScript testing ecosystems.
  • Tooling Expertise: Experience with MCP (Model Context Protocol) and AI-native IDEs like Cursor.
  • DevOps/ALM Integration: Strong experience with Jira API integrations and ALM (Application Lifecycle Management) software.

Preferred Qualifications:
  • Experience building custom AI tools that review user stories or perform static analysis on requirements.
  • A background in migrating legacy testing frameworks to modern, AI-augmented architectures.
  • The ability to articulate a clear technical roadmap for AI-infused testing that spans the entire SDLC.