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Temporary Ai Prompt Engineer Jobs in Indiana (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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Temporary Ai Prompt Engineer information

What is a Temporary AI Prompt Engineer?

A Temporary AI Prompt Engineer is a professional hired for a short-term contract to design, test, and refine prompts that guide artificial intelligence models, like ChatGPT, to produce accurate and relevant responses. Their main responsibilities include understanding project requirements, crafting effective prompts, analyzing model outputs, and iteratively improving the prompts to achieve desired outcomes. This role is especially important in organizations that need rapid development or scaling of AI tools without long-term staffing commitments. Temporary AI Prompt Engineers often collaborate with data scientists, product managers, and developers to ensure the AI meets business objectives. The position typically requires strong language skills, analytical thinking, and familiarity with AI models.

What are the key skills and qualifications needed to thrive as a Temporary AI Prompt Engineer?

To thrive as a Temporary AI Prompt Engineer, you need a strong background in language models, prompt engineering, and data analysis, often supported by experience with AI development or a related degree. Familiarity with tools like OpenAI's GPT platform, prompt optimization frameworks, and version control systems such as Git is typically required. Creativity, problem-solving, and clear written communication are essential soft skills for crafting effective prompts and collaborating with team members. These skills ensure the delivery of high-quality, impactful AI outputs and enable rapid adaptation in a fast-evolving technical environment.

What are some common challenges faced by Temporary AI Prompt Engineers, and how can they effectively address them?

Temporary AI Prompt Engineers often face the challenge of quickly adapting to new AI models and internal tools within a limited timeframe. They must efficiently learn company-specific requirements, collaborate with cross-functional teams, and deliver high-quality prompts under tight deadlines. Success in this role relies on clear communication, proactive problem-solving, and the ability to iterate rapidly based on feedback. Building strong relationships with team members and leveraging available documentation can help temporary engineers transition smoothly and make meaningful contributions during their assignment.

What is the difference between Temporary Ai Prompt Engineer vs Data Scientist?

AspectTemporary Ai Prompt EngineerData Scientist
Required CredentialsOften a degree in computer science, AI, or related fields; familiarity with AI toolsDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, freelance projects; project-based rolesResearch institutions, tech firms, corporate analytics teams; ongoing projects
Employer & Industry UsagePrimarily in AI development, content creation, and product testingData analysis, predictive modeling, business insights

While both roles require technical skills and familiarity with data and AI tools, Temporary Ai Prompt Engineers focus on crafting prompts for AI models in short-term projects, whereas Data Scientists analyze data to inform business decisions over longer periods.

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:

What are popular job titles related to Temporary Ai Prompt Engineer jobs in Indiana?

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

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

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

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

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

Temporary Ai Prompt Engineer jobs near you
Infographic showing various Temporary Ai Prompt Engineer job openings in Indiana as of July 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution.

Senior AI Engineer - Bioinformatics

Marlabs

Indianapolis, IN • On-site

Full-time

Re-posted 12 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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