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Generative Ai Engineer Jobs in Indiana (NOW HIRING)

Info Way Solutions

Gen AI Engineer

Indianapolis, IN

Gen AI Engineer Full time job Indianapolis/Dallas, TX/Chicago/SFO/ New York About the Role We are seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across ...

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting ...

MISO Energy

Principal AI Engineer

Carmel, IN

$168K - $193K/yr

We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting ...

MISO

Principal AI Engineer

Carmel, IN

$168K - $193K/yr

We're looking for a Principal AI Engineer who is passionate about pushing boundaries with machine learning, generative AI, and large language models. In this role, you'll design and scale cutting ...

Precinmac

AI Engineer

Indianapolis, IN · On-site

The AI Engineer is an experienced technical professional who bridges business strategy with AI ... Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and ...

Diverse Lynx

AI ML Engineer

Indianapolis, IN · Remote

... Generative AI & LLMs o Prompt engineering for LLM-based applications • Document Processing o ... Document extraction, parsing, and chunking o Handling structured & unstructured data • Embeddings ...

Nerdy

AI Product Engineer

Indianapolis, IN · On-site

Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems ... Strong engineering skills in one or more areas: front-end, back-end, full-stack, systems, or ...

Deloitte

Oracle AI Manager

Indianapolis, IN

... Generative AI service Bachelor's degree in Computer Science, Engineering, or a related field Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you ...

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Generative Ai Engineer information

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$36.2K

$110.3K

$182.2K

How much do generative ai engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for generative ai engineer in Indiana is $110,252.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $144,200.00 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.
More about Generative Ai Engineer jobs
What are the most commonly searched types of Generative Ai Engineer jobs in Indiana? The most popular types of Generative Ai Engineer jobs in Indiana are:
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What job categories do people searching Generative Ai Engineer jobs in Indiana look for? The top searched job categories for Generative Ai Engineer jobs in Indiana are:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Indiana as of May 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $110,252 per year, or $53 per hour.
Gen AI Engineer

Gen AI Engineer

Info Way Solutions

Indianapolis, IN

Other

Posted 14 days ago

Job description

Gen AI Engineer
Full time job
Indianapolis/Dallas, TX/Chicago/SFO/ New York
About the Role
We are seeking a Generative AI Engineer to design, develop, and deploy cutting-edge generative models across domains such as text, image, code, and audio. You will work with large language models (LLMs), diffusion models, and transformer-based architectures to build intelligent, creative, and scalable AI systems.Key Responsibilities
  • Design, fine-tune, and deploy generative models (e.g., GPT, Stable Diffusion, custom transformers).
  • Build and optimize inference pipelines for real-time or batch generation.
  • Collaborate with cross-functional teams to integrate generative AI into products.
  • Develop and maintain data pipelines for training, evaluation, and continual learning.
  • Monitor model performance, address bias/hallucination issues, and improve reliability.
  • Stay updated with the latest research and contribute to experimentation and benchmarking.
Required Qualifications
  • Bachelor's or Master's in Computer Science, Machine Learning, or related field.
  • Strong understanding of deep learning and transformer architectures.
  • Proficiency in Python and ML libraries (e.g., PyTorch, TensorFlow, Hugging Face).
  • Experience with LLMs, diffusion models, or GANs.
  • Familiarity with prompt engineering, fine-tuning, and evaluation techniques.
  • Knowledge of deployment tools (e.g., ONNX, TorchServe, Triton).
Preferred Qualifications
  • Experience building generative tools (e.g., chatbots, code generation, digital art).
  • Familiarity with vector databases, embeddings, and Retrieval-Augmented Generation (RAG).
  • Contributions to open-source ML projects or published research.
  • Awareness of ethical considerations in generative AI (e.g., data consent, misuse risks).

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