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Remote Prompt Engineer Jobs in Indiana (NOW HIRING)

Current opportunities allow for remote work from home. At E-gineering, we handle a variety of ... Familiarity with prompt, context, and agent management techniques * Experience with unit and ...

Sr. Innovation Software Engineer

Indianapolis, IN · On-site +1

$117.10K - $154.40K/yr

Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

Sr. Innovation Software Engineer

Indianapolis, IN · On-site +1

$117.10K - $154.30K/yr

Build AI-enabled application capabilities (e.g., agent workflows, prompt/tooling patterns ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

$140K - $185K/yr

Prototype and iterate on generative AI use cases (prompt engineering, chaining, evaluation, and ... Remote

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Remote Prompt Engineer information

What is a Remote Prompt Engineer job?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What does a typical workday look like for a Remote Prompt Engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.
What are the most commonly searched types of Prompt Engineer jobs in Indiana? The most popular types of Prompt Engineer jobs in Indiana are:
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LLM Agent Engineer (Freelance, Remote)

LLM Agent Engineer (Freelance, Remote)

Outlier AI

Indianapolis, IN • Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

About the Project

Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw?

We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows.

Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems.

Ideal Qualifications

  • 2+ years of experience in backend engineering, AI automation, or complex systems integration.
  • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).
  • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.
  • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.
  • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.

Nice to have

  • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.
  • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.
  • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.
  • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.