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Generative Ai Engineer Jobs (NOW HIRING)

United IT

Generative AI Engineer

Charlotte, NC · On-site

Generative AI Engineer (Java/Python) Location: Charlotte, NC We are seeking a skilled Generative AI Engineer with expertise in Java or Python to design, develop, and deploy AI-driven applications ...

New

Carlin Shayn Inc

Generative AI Engineer

Phoenix, AZ

Generative AI Engineer (Agentic AI / LLM Solutions) Location: Phoenix, AZ / New York City, NY (Hybrid/Onsite) Duration: 12+ Months Contract Interview Mode: Video Interview Position Overview We are ...

New

E Solutions Corporation

Generative AI Engineer

Tampa, FL · On-site

$104K - $125K/yr

AI/ML / Generative AI Engineer Location: Irving, Tx Strong Data Structures Any Language Code Comprehension Python or Java Ability to do hands on coding in the interview Realtime for given scenario ...

E Solutions Corporation

Generative AI Engineer

Tampa, FL · On-site

$104K - $125K/yr

AI/ML / Generative AI Engineer Location: Irving, Tx Strong Data Structures Any Language Code Comprehension Python or Java Ability to do hands on coding in the interview Realtime for given scenario ...

Envision

Generative AI Engineer

Manhattan, NY · On-site +1

Proficiency prompt engineering for generative AI models (GPT-4, DALL-E, etc.) and experience creating and integrating RAG capabilities. Strong understanding of natural language processing concepts ...

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How much do generative ai engineer jobs pay per year?

As of Jun 5, 2026, the average yearly pay for generative ai engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is a Generative AI Engineer job?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the key skills and qualifications needed to thrive in the Generative Ai Engineer position, and why are they important?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What are the typical projects or responsibilities for a Generative AI Engineer?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.
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Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in the United States as of May 2026, with employment types broken down into 72% Full Time, 25% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Generative AI Engineer

United IT

Charlotte, NC • On-site

Full-time

Posted yesterday

Job description

Generative AI Engineer (Java/Python)

Location: Charlotte, NC

We are seeking a skilled Generative AI Engineer with expertise in Java or Python to design, develop, and deploy AI-driven applications leveraging large language models (LLMs), machine learning, and deep learning techniques. The ideal candidate will have strong programming skills, hands-on experience with AI/ML frameworks, and the ability to build scalable and innovative AI-powered solutions.

Key Responsibilities

  • Design, develop, and implement Generative AI models for tasks such as text generation, summarization, image generation, code generation, and conversational AI.
  • Build APIs and microservices integrating AI models into production systems.
  • Fine-tune and optimize pre-trained LLMs (e.g., GPT, LLaMA, Falcon, Mistral, or similar) for business-specific use cases.
  • Apply Natural Language Processing (NLP), deep learning, and reinforcement learning techniques to enhance model performance.
  • Collaborate with data engineers, ML engineers, and product teams to define use cases and deliver AI-driven solutions.
  • Ensure scalability, efficiency, and security of deployed AI models.
  • Research and implement the latest trends and advancements in Generative AI.
  • Monitor, evaluate, and improve AI systems using appropriate metrics.

Required Skills & Qualifications

  • Strong programming skills in Java and/or Python.
  • Solid understanding of machine learning, deep learning, and NLP techniques.
  • Hands-on experience with frameworks such as TensorFlow, PyTorch, Hugging Face Transformers, LangChain, or Keras.
  • Experience working with cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
  • Familiarity with API development, microservices, and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in an agile, collaborative environment.
  • Bachelor's/Master's in Computer Science, Data Science, AI/ML, or a related field.

Preferred Qualifications

  • Experience with vector databases (e.g., Pinecone, Weaviate, Milvus, FAISS).
  • Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning LLMs.
  • Familiarity with MLOps practices (CI/CD for ML, model monitoring, experiment tracking).
  • Prior exposure to Generative AI for enterprise applications (chatbots, copilots, content generation).
  • Contributions to open-source AI/ML projects.

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