1

Ai Systems Engineer Jobs in Indiana (NOW HIRING)

$140K - $185K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Experience working with emerging AI agents and systems (e.g., Claude Code, Codex agents, Cowork ...

Ensure AI system designs align with enterprise data models, data governance policies, data ... Engineering, Operations, support functions, and other IT professionals. * Design, develop, and ...

$140K - $185K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Experience working with emerging AI agents and systems (e.g., Claude Code, Codex agents, Cowork ...

$140K - $185K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Experience working with emerging AI agents and systems (e.g., Claude Code, Codex agents, Cowork ...

$140K - $185K/yr

Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale ... Experience working with emerging AI agents and systems (e.g., Claude Code, Codex agents, Cowork ...

The Systems Engineer is responsible for the design, implementation, and support of enterprise ... limited to AI management. * Advise and collaborate with stakeholders to strategically align ...

next page

Showing results 1-20

Ai Systems Engineer information

What is the difference between Ai Systems Engineer vs Data Scientist?

AspectAi Systems EngineerData Scientist
Required CredentialsBachelor's or master's in CS, AI, or related fields; certifications in AI/MLBachelor's or master's in CS, Statistics, or related fields; certifications in data analysis or ML
Work EnvironmentDeveloping AI systems, integrating AI solutions, working with software and hardwareAnalyzing data, building models, interpreting data insights
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles involve AI and machine learning, Ai Systems Engineers focus on designing and implementing AI systems and infrastructure, whereas Data Scientists primarily analyze data and develop models to extract insights. The roles often overlap but differ in their core responsibilities and work environments.

What cities in Indiana are hiring for Ai Systems Engineer jobs? Cities in Indiana with the most Ai Systems Engineer job openings:
Infographic showing various Ai Systems Engineer job openings in Indiana as of May 2026, with employment types broken down into 88% Full Time, 3% Part Time, and 9% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
Agent Builder - AI Systems (Remote)

Agent Builder - AI Systems (Remote)

Outlier AI

Indianapolis, IN • Remote

Full-time

This job post has expired today. 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.