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Online Generative Ai Engineer Jobs in Indiana (NOW HIRING)

Principal AI Engineer

Carmel, IN ยท 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 ...

Gen AI Engineer Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

AI Engineer

Indianapolis, IN ยท On-site

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Senior AI Engineer

Indianapolis, IN ยท On-site +1

$99K - $137K/yr

Senior AI Engineer 1 About Crowe Studio Crowe Studio is a business unit dedicated to helping ... Research new generative AI, machine learning, and cloud technologies to evaluate applicability to ...

Position Title: AI Engineer Position Summary: The AI Engineer is an experienced technical ... Experience with Generative AI, AI Agents, or Reinforcement Learning * Python proficiency and ...

Gen AI Engineer Location: This role requires associates to be in-office 1 - 2 days per week ... Experience with NLP, LLMs (extractive and generative), fine-tuning and LLM model development.

AI Engineer

Indianapolis, IN ยท On-site

$100 - $130/hr

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 ...

New

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management. * Develop agentic workflows, tool ...

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Online Generative Ai Engineer information

What is an online generative AI engineer?

An Online Generative AI Engineer is a specialized software engineer who designs, develops, and deploys artificial intelligence (AI) models that generate new content, such as text, images, or audio, through online platforms or cloud services. They work with cutting-edge generative models like GPT, DALL-E, or diffusion models, and are responsible for integrating these technologies into web applications or online services. Their role often includes building scalable APIs, optimizing models for real-time usage, and ensuring responsible and ethical AI deployment. These engineers typically collaborate with data scientists, product managers, and UX/UI designers to deliver innovative AI-powered user experiences.

How does an online generative AI engineer typically collaborate with cross-functional teams during model development and deployment?

As an Online Generative AI Engineer, you will regularly work with data scientists, product managers, and software engineers to design, train, and deploy AI models. Collaboration often involves participating in sprint meetings, discussing data requirements, integrating models into production systems, and troubleshooting deployment issues. Effective communication is essential, as you'll need to translate complex model behaviors into actionable insights for non-technical stakeholders, and work closely with DevOps teams to ensure reliable and scalable deployment of generative AI solutions.

What are the key skills and qualifications needed to thrive as an online generative AI engineer, and why are they important?

To thrive as an Online Generative AI Engineer, you need expertise in machine learning, deep learning, and programming languages such as Python, along with a degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (e.g., AWS, GCP), and experience with generative models such as GANs or transformers are typically required. Strong problem-solving abilities, creativity, and effective communication skills help engineers design innovative solutions and collaborate with multidisciplinary teams. These skills and qualities are vital for building robust AI systems that meet user needs and drive technological advancement.

What is the difference between Online Generative Ai Engineer vs Data Scientist?

AspectOnline Generative Ai EngineerData Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with machine learning and AI frameworksDegree in Statistics, Data Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI startups, research labs; focus on developing AI models and algorithmsBusiness analytics, research, and data analysis teams; focus on data interpretation and insights
Employer & Industry UsagePrimarily in AI development, tech industry, and research institutionsAcross industries like finance, healthcare, marketing, and tech for data-driven decision making

Online Generative Ai Engineers focus on creating and optimizing AI models that generate content, while Data Scientists analyze data to extract insights. Both roles require strong technical skills, but their primary functions differ in application and industry focus.

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:

What are popular job titles related to Online Generative Ai Engineer jobs in Indiana?

For Online Generative Ai Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Online Generative Ai Engineer jobs in Indiana look for?

The top searched job categories for Online Generative Ai Engineer jobs in Indiana are:

What cities in Indiana are hiring for Online Generative Ai Engineer jobs?

Cities in Indiana with the most Online Generative Ai Engineer job openings:

$168K - $193K/yr

Other

Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Help shape the future of energy through AI-driven insights!
At MISO, our Analytics and Forensics team is redefining how data powers the energy markets. We build and maintain advanced analytical assets that detect, investigate, and ultimately help prevent market risk events, strengthening reliability for 45 million people. This is more than an AI role. It's an opportunity to shape the future of energy markets. Your work will directly impact how risks are detected, analyzed, and prevented, helping ensure a reliable and resilient power grid.
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-edge AI solutions that unlock deeper insights into market behavior and drive innovation across the energy sector. You won't just build models, you'll build mission-critical intelligence that powers one of the most important infrastructures in the world.
Your responsibilities as our Principal AI Engineer will include:
  • Designing, building, and deploying AI-driven solutions, including ML models, generative AI applications, and intelligent agents.
  • Developing and operationalizing LLM-powered solutions (RAG, prompt engineering, agent workflows) to extract insights from structured and unstructured data.
  • Building scalable infrastructure and platforms to train and serve models at enterprise scale.
  • Prototyping and delivering minimal viable products (MVP), proofs of concept, and production-ready AI solutions.
  • Partnering with data scientists, engineers, and technology teams to integrate AI into real-time and batch pipelines.
  • Evaluating and recommending emerging tools, frameworks, and APIs (e.g., OpenAI, Hugging Face, Vertex AI).
  • Applying AI to anomaly detection and market behavior analysis across electrical markets
  • Driving insights from unstructured sources.
  • Contributing to innovation through experimentation with foundation models, vector databases, and optimization techniques.

Experience needed for our Principal AI Engineer include:
  • A Bachelor's degree in Computer Science, Software Engineering, Data Science, Data Analytics or related field. Master's degree preferred.
  • 3+ years of real-world experience building AI.
  • 8-10 years of experience in building machine learning solutions in a professional environment.
  • Demonstrated experience across multiple disciplines such as:
    • Predictive modeling
    • Natural language processing
    • Data pipelines and automation
    • API development and integration
    • Data visualization and segmentation
    • Applied mathematical modeling
  • Proven ability to take ideas from concept to scalable production solutions.
  • Hands-on experience with generative AI and large language models (fine-tuning, RAG, prompt engineering, agent frameworks).

Some of the technical proficiencies needed for our Principal AI Engineer include:
  • Apache Spark, Databricks, or Synapse
  • Azure Data Factory & Azure Machine Learning Studio
  • MLflow and model lifecycle management
  • OpenAI and/or Hugging Face ecosystems
  • SQL and database querying
  • Docker and containerized deployments
  • R and Python (required)

Appropriate level will be determined based upon experience and knowledge.
Transformative innovation is happening in the electric industry, from digitalizing homes and distributed resources to renewable energy and an ever-changing grid. MISO manages the electricity superhighway in the Central U.S. and through use of groundbreaking research and advanced technology, our highly skilled employees ensure power flows reliably to 45 million Americans. Operating the electricity grid, running a robust energy market, planning for a bright future - it's what our immensely hardworking and dedicated team does every day.
The base salary compensation range being offered for this role is $168,000 - $193,000 USD annually. Base salary range for this position is included in accordance with requirements of various state/local pay transparency legislation. Please note that salaries may vary for different individuals in the same role based on several factors, including but not limited to location of the role, individual competencies, education/professional certifications, and qualifications/experience.
Position is also eligible for an annual bonus if individual performance and company objectives are met. At MISO we offer a comprehensive benefits package, including 401k, vacation, sick and safe time, available on your first day of employment.
#DiscoverMISO #MISOCareers #lifeatMISO #weareMISO
MISO, What We Do
#LI-ONSITE
#LI-JH1
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.