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Prompt Engineer Jobs in Fishers, IN (NOW HIRING)

Elevate Ventures

AI Engineer

Indianapolis, IN · On-site

$70 - $90/hr

Contribute to building AI‑powered applications and agents that solve real business problems. * Assist with prompt engineering, RAG workflows, embeddings, and orchestration. * Work across the stack ...

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 ...

Pwc

AI Engineer

Indianapolis, IN · On-site

$50K - $112K/yr

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Cox Communications, Inc.

Software Engineer II

Carmel, IN · On-site

$89K - $134K/yr

Contribute to prompt engineering experimentation and share tool usage insights with the team * Engage in design and development discussions, helping the team conceptualize desired outcomes from a ...

Cox Communications, Inc.

Software Engineer II

Carmel, IN · On-site +1

$89K - $134K/yr

Contribute to prompt engineering experimentation and share tool usage insights with the team * Engage in design and development discussions, helping the team conceptualize desired outcomes from a ...

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Prompt Engineer information

See Fishers, IN salary details

$9

$44

$82

How much do prompt engineer jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for prompt engineer in Fishers, IN is $44.07, according to ZipRecruiter salary data. Most workers in this role earn between $33.51 and $56.92 per hour, depending on experience, location, and employer.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What are popular job titles related to Prompt Engineer jobs in Fishers, IN?

For Prompt Engineer jobs in Fishers, IN, the most frequently searched job titles are:

What job categories do people searching Prompt Engineer jobs in Fishers, IN look for?

The top searched job categories for Prompt Engineer jobs in Fishers, IN are:

What cities near Fishers, IN are hiring for Prompt Engineer jobs?

Cities near Fishers, IN with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Fishers, IN as of August 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $91,672 per year, or $44.1 per hour.

Senior AI Engineer - Bioinformatics

Indianapolis, IN • On-site

Marlabs
IT Services • 1 - 5K employees
Learn more about Marlabsexternal

Full-time

Re-posted 3 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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