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Assistant Ai Prompt Engineer Jobs in Georgia (NOW HIRING)

Prompt engineering * Retrieval-Augmented Generation (RAG) * Embeddings and semantic search * Vector ... Leverage GitHub Copilot and other AI coding assistants to improve software development productivity ...

AI Engineer

Atlanta, GA · On-site

$55 - $60/hr

Knowledge of prompt engineering and contextual workflows. * Bachelor's or Master's degree in ... Integrate Generative AI/LLM-based capabilities into enterprise applications and business processes.

FSE Sr.AI Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Build and integrate AI-powered features -- leveraging LLMs, AI agents, prompt engineering, and the GenAI ecosystem to enhance product capabilities. * Design and manage relational (PostgreSQL) and ...

Senior AI Engineer

Atlanta, GA · On-site

$73K - $174K/yr

Integrate AI solutions with enterprise systems, APIs, databases, and knowledge repositories ... Improve prompt engineering, context management, and response accuracy. * Build and optimize RAG ...

Senior AI Engineer

Atlanta, GA · On-site

$73K - $174K/yr

Integrate AI solutions with enterprise systems, APIs, databases, and knowledge repositories ... Improve prompt engineering, context management, and response accuracy. * Build and optimize RAG ...

Participate in prompt engineering activities to improve AI model responses and user experiences ... of senior team members. * Assist with testing, debugging, documentation, and performance ...

Showing results 21-40

Assistant Ai Prompt Engineer information

Are assistant AI prompt engineers in demand?

Assistant AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, with job growth driven by expanding AI adoption across industries.

How do I become an Assistant AI Prompt Engineer?

To become an Assistant AI Prompt Engineer, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gaining experience with AI models such as GPT and understanding prompt design techniques are essential, often supported by relevant certifications or coursework. Building a portfolio of prompt engineering projects can also improve job prospects in this emerging field.

What are the most commonly searched types of Ai Prompt Engineer jobs in Georgia?

The most popular types of Ai Prompt Engineer jobs in Georgia are:

What are popular job titles related to Assistant Ai Prompt Engineer jobs in Georgia?

For Assistant Ai Prompt Engineer jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Assistant Ai Prompt Engineer jobs?

Cities in Georgia with the most Assistant Ai Prompt Engineer job openings:

    AI-Assisted Developer / AI Product Engineer - Q126

    R2 Technologies Corporation

    Alpharetta, GA • On-site

    Full-time

    Re-posted 2 days ago


    Job description

    Overview:
    Job Title: AI-Assisted Developer / AI Product Engineer
    Company: R2 Technologies
    Location: Alpharetta, GA (Hybrid / Remote Options Available)
    Employment Type: Full-Time / Contractual
    About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we have built a reputation as a trusted partner for IT staffing excellence and cutting-edge digital product innovation. We are driven by innovation and operate on a simple philosophy: "We deliver what we promise, and we promise only what we can deliver." Beyond providing top-tier IT talent, R2 builds cutting-edge proprietary solutions like SmartEnt-an Enterprise AI & IoT Intelligence Platform utilizing advanced NLP and AI technologies. By partnering closely with our clients, we deliver technology-driven outcomes that are realistic, measurable, and impactful.
    Job Summary: The days of writing every line of code from scratch are over. R2 Technologies is seeking an AI-Assisted Developer / AI Product Engineer who treats AI coding tools as their pair-programming partner. You will act as the bridge between product strategy and technical execution, utilizing advanced AI coding assistants (like Cursor, GitHub Copilot, and Claude Code) to achieve 10x productivity. Your primary focus will be rapidly prototyping, building, and scaling full-stack applications and integrating our proprietary SmartEnt platform with enterprise client systems. You will not just write code; you will architect prompts, orchestrate LLM workflows, and rigorously validate AI-generated outputs.
    Key Responsibilities: * Rapidly prototype and develop end-to-end full-stack applications (using Java Spring Boot, .NET Core, React, or Angular) by heavily leveraging AI coding assistants.
    • Translate high-level business and product requirements into effective system architectures and advanced prompts for AI-driven code generation.
    • Rigorously review, debug, and refactor AI-generated code to ensure it meets strict enterprise standards for security, performance, and maintainability.
    • Integrate internal applications with leading LLM APIs (Anthropic, OpenAI, Gemini) and construct visual automation workflows using tools like n8n.
    • Implement AI security best practices, recognizing and mitigating risks such as AI hallucinations, insecure dependencies, and prompt injection vulnerabilities in generated code.
    • Collaborate closely with Agentic AI Engineers to build intuitive front-end user interfaces that interact seamlessly with complex, autonomous backend agents.

    Qualifications: * Up to 3 years of software development experience in a full-stack environment.
    • Demonstrated power-user proficiency with modern AI coding assistants (e.g., Cursor, GitHub Copilot, Replit AI) and a strong grasp of developer-focused prompt engineering.
    • Solid foundation in modern programming languages (Java 17+, C# .NET 8+, Python) and front-end frameworks (React, Angular, TypeScript).
    • Experience integrating RESTful APIs, GraphQL, and cloud-native services (AWS, Azure, or GCP).
    • Critical thinking and debugging skills necessary to evaluate, secure, and optimize AI-generated architectures.

    Entrepreneurial mindset with a bias for action, rapid iteration, and delivering functional product value over manual boilerplate coding.
    Skills:
    java,dotnet,react,angular