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Generative Ai No Experience Jobs in Decatur, GA (NOW HIRING)

Intellectt INC

Agentic AI Engineer (Python)

Atlanta, GA · On-site

Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems. Required Skills & Experience: * Strong programming skills in Python and familiarity with AI/ML frameworks. * Proven ...

Yantran LLC

Sr. Software Engineer

Alpharetta, GA

$111K - $134K/yr

Integrate and fine-tune Generative AI models (e.g., LLMs, decoder models) for tasks such as summarization, content generation, and intelligent automation. * Experience implementing RAG pipelines ...

Palnar

GEN AI Developer@ Alpharetta, GA

Alpharetta, GA · On-site

$49 - $67.50/hr

... Generative AI platforms. The ideal candidates will have strong hands-on experience in Python, MCP-based systems, and working with large language models in multi-agent environments. Key ...

Salesforce, Inc.

Applied Research Engineer

Atlanta, GA · On-site

At Salesforce, we are driving the development of Generative AI for CRM, focused on delivering AI ... Experience with production cloud deployments like AWS or GCP. Kubernetes is a plus. * Experience ...

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Generative Ai No Experience information

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$110.4K

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How much do generative ai no experience jobs pay per year?

As of Jun 17, 2026, the average yearly pay for generative ai no experience in Decatur, GA is $110,425.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $150,400.00 per year, depending on experience, location, and employer.

What are generative AI jobs for people with no experience?

Generative AI jobs for people with no experience are entry-level roles that involve working with artificial intelligence systems designed to create content, such as text, images, or music. These roles may include positions like AI prompt engineer, data annotator, AI content reviewer, or junior AI research assistant. Many employers provide on-the-job training and look for candidates who are curious, willing to learn, and have basic computer skills. While having a background in computer science or data analysis can help, it's not always required, as many companies are open to training motivated individuals. Building foundational skills through online courses or tutorials can also improve your chances of landing a generative AI job.

What types of entry-level tasks can someone expect in a Generative AI role with no prior experience?

In an entry-level Generative AI position, you'll likely start with tasks such as data preprocessing, organizing datasets, and assisting in the evaluation of AI-generated outputs. You may also help with documentation, support the training and fine-tuning of models under supervision, and participate in team meetings to learn about project goals and methodologies. These responsibilities help you build a strong foundation in AI workflows and provide opportunities to collaborate closely with more experienced engineers and researchers.

What are the key skills and qualifications needed to thrive in an entry-level Generative AI role, and why are they important?

To thrive in an entry-level Generative AI role, a basic understanding of programming (especially Python), foundational knowledge of machine learning concepts, and a willingness to learn are essential, even without prior direct experience. Familiarity with tools like TensorFlow, PyTorch, and cloud platforms (such as AWS or Google Cloud) is highly beneficial, as are completion of online courses or certifications in AI or data science. Strong problem-solving skills, curiosity, effective communication, and adaptability help candidates stand out and learn quickly on the job. These skills and qualities are crucial for keeping pace with rapidly evolving AI technologies and contributing effectively to team projects.
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Generative Ai No Experience jobs near you
Infographic showing various Generative Ai No Experience job openings in Decatur, GA as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $110,425 per year, or $53.1 per hour.
Agentic AI Engineer (Python)

Agentic AI Engineer (Python)

Intellectt INC

Atlanta, GA • On-site

Contractor

Posted 7 days ago

Job description

Hi

Hope you are doing well

This is Bhanu from Intellectt INC; we have an immediate opportunity with one of our clients. Please find the below job description and if you are interested, please forward your resume to bhanuprakash@intellectt.com

Position: Agentic AI Engineer (Python)
Location: Atlanta, GA – Onsite
Duration: Long Term

Job Description:

We are seeking an experienced Agentic AI Engineer to design and implement intelligent systems leveraging autonomous agents, LLMs, and advanced Python frameworks. The ideal candidate will have hands-on experience developing agentic AI solutions that can plan, reason, and act using multi-agent orchestration and modern AI toolkits.

Key Responsibilities:

  • Design and build agentic AI frameworks and intelligent workflows using LLMs.
  • Develop and integrate Python-based AI applications with internal systems and APIs.
  • Utilize tools such as LangChain, CrewAI, AutoGen, or OpenDevin for agent orchestration.
  • Build AI pipelines that can autonomously perform reasoning, decision-making, and task execution.
  • Collaborate with cross-functional teams to align AI initiatives with business goals.
  • Optimize AI agents for scalability, performance, and accuracy in production environments.
  • Stay current with advancements in LLMs, agentic AI, and generative AI ecosystems.

Required Skills & Experience:

  • Strong programming skills in Python and familiarity with AI/ML frameworks.
  • Proven experience developing LLM-driven or multi-agent AI systems.
  • Hands-on experience with LangChain, AutoGen, CrewAI, or related frameworks.
  • Knowledge of OpenAI, Anthropic, or AWS Bedrock APIs.
  • Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., FAISS, Pinecone, Chroma).
  • Strong problem-solving and analytical skills.
  • Excellent communication and teamwork abilities.

Nice to Have:

  • Experience in healthcare or insurance domain.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) for deploying AI models.
  • Exposure to MLOps or AI agent lifecycle management.