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Ai Prompt Engineer Internship Jobs in Indiana (NOW HIRING)

Elevate Ventures

AI Engineer

Indianapolis, IN · On-site

$70 - $90/hr

... with prompt engineering, RAG workflows, embeddings, and orchestration. * Work across the stack ... Experiment with new AI models, APIs, and dev tools -- bringing that curiosity back into ...

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

... with prompt engineering, fine-tuning, and evaluation techniques. • Knowledge of deployment tools (e.g., ONNX, TorchServe, Triton). Preferred : • Experience building generative tools (e.g ...

Deloitte

Google AI Architect

Indianapolis, IN

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate ... Design, fine-tune, evaluate, and govern LLM solutions with Gemini on Vertex AI (prompt/tool ...

ICEYE

Forward Deployed AI Engineer, Poland

Warsaw, IN · On-site

$100 - $130/hr

Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language. * Create Model Context Protocol (MCP) integrations ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Nucor

AI Solutions Engineer

Crawfordsville, IN · On-site

Familiarity with AI concepts such as prompt engineering, model evaluation, or agentbased workflows. * Experience working in an enterprise IT environment with complex, integrated systems. * Experience ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN · On-site

Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool ... Ensure AI applications are reliable, auditable, and designed with responsible AI principles ...

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool ...

Deloitte

AI Engineer Consultant

Indianapolis, IN · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

Allegion plc

AI Solutions Engineer

Carmel, IN · On-site

$110 - $160/hr

Strong proficiency with generative AI and large language models, including prompt engineering for reliable, high‑quality outputs. * Experience defining and implementing evaluations for AI systems ...

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Ai Prompt Engineer Internship information

What is an AI prompt engineer internship?

An AI Prompt Engineer Internship is a temporary or entry-level position where interns learn to design, test, and optimize prompts for AI language models, such as ChatGPT. Interns work with teams to refine how AI responds to user input, ensuring the outputs are accurate, relevant, and ethical. This role combines knowledge of AI, programming, and communication to improve conversational AI systems. Interns may also contribute to research, data analysis, and the development of best practices for prompt engineering.

What do AI prompt engineer interns do?

As an AI Prompt Engineer Intern, you'll likely work on designing, testing, and refining prompts to optimize AI model outputs for various applications. Your daily tasks may include collaborating with data scientists and developers, conducting prompt experiments, analyzing model responses, and documenting results to improve prompt effectiveness. This role often involves brainstorming creative ways to elicit accurate and useful answers from AI systems, as well as staying updated on prompt engineering best practices. Interns may also participate in team meetings to discuss findings and contribute to ongoing product or research initiatives.

What skills and qualifications are needed to thrive as an AI prompt engineer intern?

To thrive as an AI Prompt Engineer Intern, you need a strong understanding of natural language processing, programming fundamentals (such as Python), and foundational AI concepts, typically supported by coursework or relevant project experience. Familiarity with AI development tools like OpenAI's GPT platforms, prompt engineering frameworks, and version control systems (e.g., Git) is essential. Creativity, attention to detail, and effective communication are standout soft skills that help interns craft and test high-quality prompts. These skills are crucial for designing effective AI interactions, collaborating with technical teams, and driving innovation in AI solutions.

What are the most commonly searched types of Ai Prompt Engineer jobs in Indiana?

The most popular types of Ai Prompt Engineer jobs in Indiana are:

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For Ai Prompt Engineer Internship jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Ai Prompt Engineer Internship jobs in Indiana look for?

The top searched job categories for Ai Prompt Engineer Internship jobs in Indiana are:

What cities in Indiana are hiring for Ai Prompt Engineer Internship jobs?

Cities in Indiana with the most Ai Prompt Engineer Internship job openings:

Ai Prompt Engineer Internship jobs near you
Infographic showing various Ai Prompt Engineer Internship job openings in Indiana as of June 2026, with employment types broken down into 91% Full Time, 8% Part Time, and 1% Contract. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution.

Senior AI Engineer - Bioinformatics

Marlabs

Indianapolis, IN • On-site

$140 - $200/hr

Other

Posted 9 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 Engineer – Bioinformatics to join our innovative and dynamic team.

Senior AI Engineer – Bioinformatics | About You

As a Senior AI Engineer – Bioinformatics, you are responsible for building modern, data-driven 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 high-impact 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 Engineer – Bioinformatics | 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 Engineer – Bioinformatics | 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.
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