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Senior Generative Ai Engineer Jobs in Indiana (NOW HIRING)

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

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 ...

Alliance for Cooperativ

AI Engineer

Carmel, IN · On-site

... generative AI solutions to enhance ACES operations, optimizing business processes, and driving data ... guidance of senior technical leadership. This role requires strong technical skills in AI/ML ...

MISO Energy

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

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

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 ...

E-gineering

Senior AI Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

Senior AI Engineer Indianapolis, IN About E-gineering E-gineering (EG) is a 100% employee-owned software consulting company based in Indianapolis, Indiana, founded in 2000. True consulting is about ...

E-gineering, Inc.

Senior AI Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not offered Work Authorization: Must be authorized to work in the United States without sponsorship, as E ...

E-gineering, Inc.

Senior AI Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

Senior AI Engineer Type: W-2 Employment Location : Indianapolis, IN (on-site) Relocation: Not offered Work Authorization: Must be authorized to work in the United States without sponsorship, as E ...

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Senior Generative Ai Engineer information

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

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges Senior Generative AI Engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What does a Senior Generative AI Engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

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 cities in Indiana are hiring for Senior Generative Ai Engineer jobs? Cities in Indiana with the most Senior Generative Ai Engineer job openings:
Senior Generative Ai Engineer jobs near you
Gen AI Engineer

Gen AI Engineer

Info Way Solutions

Indianapolis, IN • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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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