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Generative Ai Jobs in Indiana (NOW HIRING)

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 ...

If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

SEP has an opening for a software engineer with a focus in Artificial Intelligence (Generative AI, Computer Vision, or Natural Language Processing). We need your expertise to expand the AI services ...

Knowledge of Microsoft Copilot, generative AI tools, or large language models through coursework, internships, projects, or self-directed learning. * Familiarity with Microsoft 365 tools (Teams, Word ...

Showing results 21-40

Generative Ai information

What is a generative AI?

A Generative AI job involves developing, fine-tuning, or deploying AI models that can create content such as text, images, music, or code. Professionals in this field work with machine learning frameworks, large language models, and neural networks to improve AI-generated outputs. Roles may include AI researchers, machine learning engineers, prompt engineers, or data scientists specializing in generative models. These jobs require expertise in programming (Python, TensorFlow, PyTorch), data processing, and AI ethics.

What does a generative AI specialist do?

A Generative AI Specialist typically focuses on designing, training, and fine-tuning generative models, such as those used for text, image, or audio generation. You may be responsible for researching the latest advancements, preparing datasets, evaluating model performance, and collaborating closely with data engineers, product managers, and software developers to integrate solutions into products. In many organizations, you’ll also participate in brainstorming sessions to explore new applications of generative AI, contribute to technical documentation, and support model monitoring or improvement post-deployment. This role requires a blend of technical expertise and teamwork, offering a dynamic environment where you can have a direct impact on cutting-edge innovation.

Can you get a job with generative AI?

A career in generative AI involves roles such as AI engineer, data scientist, or machine learning specialist, requiring skills in programming, deep learning, and neural networks. Job opportunities are available in tech companies, research labs, and startups, often requiring proficiency with tools like Python, TensorFlow, or PyTorch. Building a strong portfolio and obtaining relevant certifications can improve employment prospects in this rapidly growing field.

What are the key skills and qualifications needed to thrive in the generative AI position?

To thrive as a Generative AI Specialist, you need a strong background in machine learning, deep learning, and natural language processing, often supported by a relevant degree such as computer science or data science. Expertise with frameworks like TensorFlow or PyTorch, proficiency in Python, and knowledge of cloud platforms are commonly expected, with additional certifications in AI or related fields seen as valuable assets. Strong problem-solving abilities, creativity, and effective communication skills set top candidates apart. These skills are crucial for designing, developing, and deploying advanced generative models that address real-world business needs.

Is generative AI a good career?

Generative AI is a rapidly growing field with increasing demand for skilled professionals in areas such as machine learning, data science, and software development. Careers in this area often require knowledge of programming languages like Python, experience with neural networks, and familiarity with AI frameworks such as TensorFlow or PyTorch. The field offers opportunities in research, development, and deployment across various industries, making it a promising career choice for those with relevant technical skills.
What are the most commonly searched types of Generative Ai jobs in Indiana? The most popular types of Generative Ai jobs in Indiana are:
What are popular job titles related to Generative Ai jobs in Indiana? For Generative Ai jobs in Indiana, the most frequently searched job titles are:
What cities in Indiana are hiring for Generative Ai jobs? Cities in Indiana with the most Generative Ai job openings:
Infographic showing various Generative Ai job openings in Indiana as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.

Senior AI Full Stack Engineer

Onebridge

Indianapolis, IN • On-site

Full-time

Posted 16 days ago


Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Full Stack Engineer to join our innovative and dynamic team.

Senior AI Full Stack Engineer | About You

As a Senior AI Full Stack Engineer, you are responsible for building modern, datadriven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into highimpact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.

Senior AI Full Stack Engineer | Day-to-Day

  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • 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 integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience

  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.
Employment Type: FULL_TIME