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Remote Ai Prompt Engineer Internship Jobs in Indiana

Traction Ag, Inc.

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating layer. A secure internal AI layer that connects ...

CSAA

  • Retirement

Job Title Software Engineer III - AI/ML Platform Operations - Remote Requisition Number R7739 ... Experience supporting Generative AI applications, LLM-based solutions, prompt orchestration ...

New

Elevance Health

AI Machine Learning Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and prompt engineering techniques highly preferred. * Experience designing and implementing AI ... agents, tool-calling workflows, or agentic architectures highly preferred. * Experience evaluating ...

Elevance Health

AI Machine Learning Scientist

Indianapolis, IN · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... and prompt engineering techniques highly preferred. * Experience designing and implementing AI ... agents, tool-calling workflows, or agentic architectures highly preferred. * Experience evaluating ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

  • PTO

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Prompt engineering and instruction hierarchies * Context window and context management * Model ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Sony

$50/hr

You will receive support from internal scientists and engineers in your efforts. Required ... Working Location Location flexible (Tokyo, NYC, remote) The target hourly rate for this internship ...

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

Quora

$139K - $168K/yr

  • Medical

  • Dental

  • Vision

  • PTO

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

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Remote Ai Prompt Engineer Internship information

What is the difference between Remote Ai Prompt Engineer Internship vs Remote Ai Data Annotator?

AspectRemote Ai Prompt Engineer InternshipRemote Ai Data Annotator
Required CredentialsBasic programming, understanding of AI models, relevant courseworkAttention to detail, basic technical skills, training provided
Work EnvironmentRemote, collaborative with AI teams, project-basedRemote, data labeling tasks, individual or team work
Industry UsageAI development, NLP, machine learning projectsData preparation, model training support
Search & Comparison IntentLearning, internship opportunities, AI project rolesData annotation jobs, entry-level AI support roles

The Remote Ai Prompt Engineer Internship focuses on developing and refining AI prompts, requiring some technical knowledge and collaboration with AI teams. In contrast, the Remote Ai Data Annotator role involves labeling data to train AI models, emphasizing attention to detail. Both roles are remote and support AI industry needs, but they differ in responsibilities and skill requirements.

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

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Remote Ai Prompt Engineer Internship jobs near you

Principal AI Systems Engineer

Traction Ag, Inc.

Auburn, IN • On-site, Remote

$170K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago

Job description

Traction Ag helps farmers simplify the business of farming through cloud-based software that brings together farm financials and operations.
In this role, you will operate as a cross-functional technical leader partnering closely with the COO and engineering leadership. You will help define the company's AI architecture, tooling standards, and governance practices.
Core Priorities
  1. Build a secure internal AI data and retrieval layer
  2. Establish governance and safe AI usage patterns
  3. Ship high-leverage internal workflows and automations
  4. Enable responsible AI adoption across the company
  5. Create scalable foundations for future agentic systems

What the role is not:
  • An AI research role
  • A pure ML modeling role
  • A prompt engineering role
  • A people management role
  • A speculative innovation lab

What You Will Build
The Operating Layer
Our internal AI operating layer. A secure internal AI layer that connects company knowledge systems and makes institutional context searchable, usable, and operational.
  • Building AI-powered retrieval and synthesis workflows across Slack, CRM, Google, docs, project management, and meeting transcripts so teams can access institutional knowledge and historical context in seconds
  • Creating scalable systems for meeting capture, decision logging, onboarding, SOP generation, and cross-functional communication
  • Implementing RAG pipelines, vector search, embeddings, and AI orchestration frameworks that power the entire internal AI toolkit
  • Reducing knowledge silos, duplicated work, and dependency on tribal knowledge by making information flow to where it is needed, when it is needed

The Internal AI Workflow Platform
A centralized library of reusable AI-powered workflows, automations, and internal tools employees can safely use without exposing sensitive company or customer data.
  • Curated, tested AI workflows for each department that non-technical team members can invoke without prompt engineering from scratch
  • Version control, access governance, and audit trails so the organization can scale AI usage without sacrificing security or consistency
  • A framework that lets team members go from idea to prototype to production-ready workflow, with guardrails that keep outputs safe and on-brand

Operational Intelligence
  • Automations and agents that transform raw information into actionable insights, summaries, tasks, and operational reporting
  • Tools that make operational metrics, goal tracking, and leadership reporting more accessible, more actionable, and harder to ignore
  • Governance, security, and data quality standards for every internal AI system

Security & Governance
  • Define safe AI usage standards across the organization
  • Establish data handling and model access policies aligned with security requirements
  • Evaluate AI vendors, infrastructure, and deployment patterns for security and scalability
  • Design human-in-the-loop workflows, auditability, and operational safeguards
  • Ensure customer financial data is protected across all AI systems

What We Are Looking For
Required
  • 7+ years in software engineering, data engineering, or platform/infrastructure roles, with at least 2 years focused on AI/ML systems or AI-powered tooling
  • Demonstrated track record designing and implementing AI-powered retrieval systems, knowledge architectures, and workflow orchestration patterns in production environments.
  • Proficiency in Python, Node, Angular, and TypeScript; comfortable working across the stack from data pipelines to lightweight front-end interfaces
  • Proven ability to build integrations across SaaS tools using APIs, webhooks, and automation platforms
  • Strong understanding of context engineering: designing retrieval strategies, memory systems, and information architectures that make AI outputs reliable and high-quality
  • Excellent communication: you can translate between technical architecture and business outcomes, and you can teach complex concepts to non-technical colleagues
  • Comfortable operating autonomously, prioritizing ambiguous problems, and making pragmatic technical tradeoffs.

Nice to Have
  • Familiarity with structured operating systems for scaling companies
  • Background in ag-tech, fintech, or B2B SaaS
  • Experience building internal developer platforms, plugin systems, or self-service tooling for non-engineers
  • Contributions to open-source AI tooling or a portfolio of internal tools you have built and shipped
  • Experience with our stack: Atlassian, Notion (including the API), HubSpot, Slack, Jira, Figma, Google Workspace, Canva

What Success Looks Like
Foundation
  • Initial secure AI retrieval architecture is operational against at least one core company data source
  • Foundational AI infrastructure, governance standards, and approved tooling patterns are established
  • At least two vetted internal AI workflows are published and actively used

Quick Wins - First 90 Days
  • Three to five automations are shipped and saving measurable time across multiple departments
  • At least one cross-functional AI workflow is operational and adopted by non-technical teams
  • A prioritized six-month roadmap for AI infrastructure, workflow automation, and governance is delivered to leadership

Organizational Trust
  • You have established strong working relationships across department leadership
  • The organization trusts the systems, guardrails, and architectural direction being established
  • The company has begun moving from fragmented AI experimentation toward secure, production-oriented AI adoption

What We Offer
  • Mission-driven work that directly supports farmers and rural communities.
  • A nimble, passionate team where your ideas have real impact.
  • Competitive and cost-effective benefits plans - Health, Dental, Vision, and Life Insurance
  • 401(k) Plans with Company Match
  • Unlimited Paid Time Off
  • Paid Holidays
  • A company culture rooted in our values:
    • Put the Farmer First
    • Gain Traction as a Team
    • Think Outside the Silo
    • Take the Right Next Step
    • Choose Joy

Apply