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Remote Ai Agent Jobs in Indiana (NOW HIRING)

Platinum Supplemental Insurance, Inc.

$75K/yr

Cutting-Edge AI Training Get an edge on the competition with our new AI-driven training platform. You'll receive personalized feedback, interactive coaching, and real-time support to help you master ...

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Remote Ai Agent information

What is a remote AI agent?

Remote AI agents are software programs or systems that utilize artificial intelligence to perform tasks or provide services from a remote location, often via the internet or cloud platforms. These agents can automate processes, analyze data, interact with users, or manage digital operations without the need for physical presence. Remote AI agents are commonly used in customer service, virtual assistance, technical support, and more, helping businesses improve efficiency and scalability. Their remote nature allows them to operate 24/7 and integrate seamlessly with various digital platforms.

How does a remote AI agent typically collaborate with cross-functional teams while working from different locations?

Remote AI Agents often work closely with data scientists, software engineers, and product managers through digital collaboration tools such as Slack, Zoom, and project management platforms like Jira or Asana. Effective communication and clear documentation are essential, as team members may be in different time zones. Regular virtual meetings and asynchronous updates help ensure alignment on project goals and tasks. Building strong remote relationships and proactively sharing progress or challenges are key to successful collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote AI agent, and why are they important?

To thrive as a Remote AI Agent, you need a solid understanding of artificial intelligence concepts, problem-solving abilities, and typically a background in computer science or a related field. Familiarity with AI platforms, chatbot frameworks, and workflow automation tools is often required, along with experience using communication and ticketing systems. Strong written communication, adaptability, and self-motivation are crucial soft skills for excelling in a remote environment. These competencies ensure effective support, continuous learning, and high-quality interactions with clients or users in a technology-driven context.

What is the difference between Remote Ai Agent vs Customer Support Specialist?

AspectRemote Ai AgentCustomer Support Specialist
Required CredentialsBasic technical knowledge, AI tools familiarityCustomer service skills, communication skills
Work EnvironmentRemote, AI-driven platformsRemote or on-site, customer interaction
Employer & Industry UsageTech companies, AI service providersRetail, telecom, service industries
Common Search & ComparisonAI automation, virtual assistanceCustomer service roles, support jobs

The main difference between a Remote Ai Agent and a Customer Support Specialist lies in their focus and tools. Remote Ai Agents primarily work with AI-driven platforms to assist or automate customer interactions, requiring some technical knowledge. Customer Support Specialists handle direct customer interactions, emphasizing communication skills. Both roles are often remote but serve different functions within customer service and tech industries.

How can I become a remote AI agent?

To become a remote AI agent, you typically need a strong understanding of artificial intelligence, machine learning, and related tools such as Python or TensorFlow. Gaining relevant experience through online courses, certifications, or projects, and demonstrating strong communication skills, can help you qualify for remote positions in this field.

What remote AI jobs can be done remotely?

Remote AI jobs include roles such as AI developer, machine learning engineer, data scientist, and AI research scientist. These positions often require skills in programming, data analysis, and familiarity with AI tools and frameworks, and they can typically be performed from any location with a reliable internet connection.

What are the most commonly searched types of Ai Agent jobs in Indiana?

The most popular types of Ai Agent jobs in Indiana are:

What are popular job titles related to Remote Ai Agent jobs in Indiana?

For Remote Ai Agent jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Remote Ai Agent jobs in Indiana look for?

The top searched job categories for Remote Ai Agent jobs in Indiana are:

What cities in Indiana are hiring for Remote Ai Agent jobs?

Cities in Indiana with the most Remote Ai Agent job openings:

Remote Ai Agent jobs near you

Sr. AI Engineer

Renaissance Life and Health Insurance Company of America

Indianapolis, IN • On-site, Remote

$11K - $120K/mo

Full-time

Posted 7 days ago

Job description

Job Title:
Sr. AI Engineer
Number of Positions:
1
Location:
Indianapolis, IN
Location Specifics:
Fully Remote
Job Summary:
Renaissance Benefits is seeking an experienced AI Engineer to join our growing team!
At Renaissance, the Sr. AI Engineer is a hands-on builder and technical leader who designs, builds, and ships production AI-powered and automation solutions that solve real business problems. This role blends deep individual contribution with technical leadership-setting engineering standards, mentoring engineers, and guiding solutions through design reviews. You'll build across the stack (web technologies, Python, data, and AI agents), own the platform "on-ramps" that let the broader organization safely bring AI-assisted applications to production, and partner with non-technical builders to turn their working prototypes into supported, production-grade systems. As part of a newly unified engineering organization, you'll also cross-train into enterprise integration work and help shape Renaissance's broader AI transformation.
What will this role entail?
  • Design, build, ship, and support production applications across the stack-web (TypeScript/React), Python services, and cloud functions.
  • Understand and work with data: query and integrate from enterprise data platforms and APIs.
  • Stand up and configure AI agents in enterprise agent platforms (tools/function-calling, structured output, and human-in-the-loop patterns).
  • Own the engineering SDLC that let others deliver safely: source control and repository organization, CI/CD, deployment pipelines, environments, and guardrails.
  • Partner with non-technical builders to bring their AI-assisted applications to production-reviewing, hardening, integrating, and deploying their work while they retain ownership of the business solution.
  • Advance AI enablement across the team through shared tooling, reusable skills and capabilities, and repeatable patterns that raise everyone's leverage.
  • Provide hands-on technical leadership-design reviews, architectural guidance, mentoring, and problem-solving to unblock delivery.
  • Uphold quality, performance, maintainability, and production-readiness standards, including responsible AI, security, and privacy practices.
  • Cross-train into enterprise integration engineering to support the unified engineering organization as it matures.
  • Help shape Renaissance's broader AI transformation strategy and execution.

Minimum Requirements:
Minimum Requirements
  • 7+ years of professional experience in software engineering, automation, or AI-related development roles.
  • Hands-on experience building and delivering production software systems, including AI-powered or automation solutions.
  • Full-stack capability: web technologies (e.g., TypeScript/React) and Python.
  • Working knowledge of GenAI/LLMs and common real-world patterns (e.g., agents, tool/function-calling, structured output, retrieval).
  • Experience working with data-querying and integrating from data platforms and APIs.
  • Cloud experience (Microsoft Azure preferred, or equivalent).
  • Strong software engineering fundamentals (testing, code reviews, CI/CD, and operational support).
  • Experience using AI-assisted development tools to accelerate delivery (e.g., Claude Code, GitHub Copilot).
  • Ability to mentor engineers and to collaborate effectively with non-technical builders.
  • Familiarity with security, privacy, and responsible AI considerations in enterprise environments.
  • Strong communication skills, including explaining technical concepts to non-technical audiences.

Technical Qualifications
  • Production software engineering (design, build, ship, support) across web (TypeScript/React) and Python.
  • Cloud application development and operationalization (Azure Functions/Container Apps, identity/managed authentication, or equivalent).
  • Hands-on AI/GenAI application development, including configuring agents on enterprise agent platforms.
  • Data and API integration (enterprise data platforms and general APIs).
  • CI/CD, release management, and repository/environment management (e.g., GitHub Actions).
  • AI enablement: reusable tooling, shared skills/capabilities, and AI-native development tools.
  • Security, privacy, and responsible AI fundamentals.
  • Enterprise integration and automation familiarity a plus.

Pay Range: $110,00-$120,000
The company will provide equal employment and advancement opportunity within the context of its unique business environment without regard to race, color, religion, gender, gender identity, gender expression, age, national origin, familial status, citizenship, genetic information, disability, sex, sexual orientation, marital status, pregnancy, height, weight, military status, or any other status protected under federal, state, or local law or ordinance.

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