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Conversational Ai Engineer Jobs in Indiana (NOW HIRING)

Lasting Change, Inc

AI Engineer

Fort Wayne, IN · On-site

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data ... and conversational interfaces. * Engineer prompt pipelines with structured outputs, retrieval ...

Lasting Change Inc

AI Engineer

Fort Wayne, IN

... and conversational interfaces. * Engineer prompt pipelines with structured outputs, retrieval ... Ensure AI applications are reliable, auditable, and designed with responsible AI principles ...

Onebridge

Senior AI Full Stack Engineer

Indianapolis, IN · On-site

$120 - $180/hr

Hands‑on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications. * Strong experience with ...

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

As a Manager you will combine engineering knowledge with people leadership to deliver resilient platforms that integrate cloud infrastructure, conversational AI, data, and enterprise systems. This ...

Varsity Tutors

ChatGPT Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Bloomington, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

Varsity Tutors

ChatGPT Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Deep knowledge of ChatGPT capabilities including prompt engineering, conversational AI interaction, content generation, code assistance, data analysis, creative writing applications, API integration ...

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All JobsConversational Ai Engineer JobsConversational Ai Engineer Jobs in Indiana

Conversational Ai Engineer information

See Indiana salary details

$28.1K

$116K

$208.6K

How much do conversational ai engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for conversational ai engineer in Indiana is $116,037.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,650.00 and $143,427.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a conversational AI engineer?

To thrive as a Conversational AI Engineer, you need strong programming skills (such as Python), a background in natural language processing (NLP), and a degree in computer science or a related field. Familiarity with machine learning frameworks, chatbot platforms, and cloud services like AWS or Google Cloud is typically required, along with experience in tools such as TensorFlow or Rasa. Excellent problem-solving abilities, creativity, and clear communication help engineers design effective, user-friendly conversational systems. These skills ensure the development of robust, scalable, and intuitive AI solutions that meet user needs and business goals.

What is a conversational AI engineer?

A Conversational AI Engineer is a technology professional who designs, develops, and maintains systems that enable computers to interact with humans using natural language. They work on building chatbots, virtual assistants, and voice-enabled applications by leveraging natural language processing (NLP), machine learning, and AI frameworks. Their responsibilities include training language models, optimizing conversation flows, integrating with APIs, and ensuring the overall performance and accuracy of conversational systems. These engineers collaborate with data scientists, UX designers, and software developers to create seamless and intuitive AI-driven user experiences.

What are some common challenges conversational AI engineers face when deploying chatbots in production environments?

Conversational AI Engineers often encounter challenges such as ensuring chatbot robustness in handling diverse user inputs and maintaining natural, contextually relevant conversations. Managing scalability and latency is also crucial, as chatbots must perform efficiently under varying loads. Additionally, integrating with legacy systems and safeguarding user data privacy require careful coordination with DevOps and security teams. Continuous model monitoring and updating are essential to keep responses accurate and aligned with user expectations.

What is the difference between Conversational Ai Engineer vs Chatbot Developer?

AspectConversational Ai EngineerChatbot Developer
Required CredentialsBachelor's in CS, AI, or related field; experience with NLP and machine learningTypically programming skills; may have similar technical background
Work EnvironmentCollaborates on AI models, NLP, and user experience designFocuses on building and deploying chatbot interfaces
Employer & Industry UsageTech companies, AI startups, large enterprises integrating conversational AICustomer service, marketing, and sales sectors
Search & Comparison IntentUnderstanding roles in AI development, advanced conversational systemsBuilding specific chatbot applications

While both roles involve creating conversational interfaces, a Conversational Ai Engineer focuses on developing advanced AI models and NLP systems, whereas a Chatbot Developer primarily builds and deploys chatbot applications. The engineer's role is broader, often involving AI research and integration, while the developer concentrates on implementation and user interaction design.

What are popular job titles related to Conversational Ai Engineer jobs in Indiana? For Conversational Ai Engineer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Conversational Ai Engineer jobs in Indiana look for? The top searched job categories for Conversational Ai Engineer jobs in Indiana are:
What cities in Indiana are hiring for Conversational Ai Engineer jobs? Cities in Indiana with the most Conversational Ai Engineer job openings:
Conversational Ai Engineer jobs near you
Infographic showing various Conversational Ai Engineer job openings in Indiana as of August 2026, with employment types broken down into 2% Internship, 81% Full Time, 7% Part Time, and 10% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $116,037 per year, or $55.8 per hour.

AI Engineer

Lasting Change, Inc

Fort Wayne, IN • On-site

Full-time

Re-posted 11 days ago

Job description

The AI Engineer is Lasting Change's first dedicated AI role, joining an established Data & Innovation team focused on advancing the organization's data and analytics capabilities. This position will design, build, and deploy AI-powered solutions that improve staff effectiveness and enhance services for clients. Initial focus areas include surfacing insights from complex documentation, reducing administrative burden, and supporting faster, more informed decision-making across programs and operations.
Working closely with organizational stakeholders and the broader data team, the AI Engineer will leverage curated data assets from Petra, Lasting Change's Microsoft Fabric-based enterprise data lakehouse, to deliver practical, trustworthy, and mission-aligned AI solutions. As the organization's AI capabilities mature, this role will help establish the standards, platforms, and practices that support long-term success.
Company Conformance Statements / Essential Personal Characteristics
In the performance of their respective tasks and duties, all employees are expected to conform to the following:
  1. Perform quality work within deadlines with or without direct supervision.

2. Interact professionally with other employees, customers, and clients.
3. Work effectively as a team member.
4. Work independently while understanding the necessity for communicating and coordinating work efforts with other employees and organizations.
5. Exhibit exceptional integrity in all matters.
6. Lead by example.
Requirements
LLM Application Development
  • Design and build LLM-powered applications that help staff work more effectively - including document processing, content generation, and conversational interfaces.
  • Engineer prompt pipelines with structured outputs, retrieval-augmented generation (RAG), and tool-use patterns tailored to organizational data and workflows.
  • Evaluate, select, and integrate best-in-class LLM and AI platform tooling, with preference for Microsoft Fabric, Azure AI Foundry, and complementary services.
  • Ensure AI applications are reliable, auditable, and designed with responsible AI principles, including transparency, fairness, and appropriate human oversight.

Agentic Workflows & Process Automation
  • Design and deploy agentic workflows that automate multi-step processes, reducing manual effort and improving consistency across operations.
  • Build and integrate MCP (Model Context Protocol) servers to connect AI agents with organizational data sources, internal tools, and external services.
  • Collaborate with operational stakeholders to identify, scope, and deliver automation opportunities with clear business value.
  • Contribute to a disciplined, iterative approach to AI development - shipping focused solutions, learning from them, and expanding scope over time.

Data Collaboration & Platform Integration
  • Partner closely with the internal data team to leverage curated, trusted datasets from Petra as inputs to AI systems and pipelines.
  • Collaborate on data modeling and governance decisions that support AI use cases without compromising platform integrity.
  • Ensure all AI pipelines are integrated with the organization's data platform, security standards, and access controls.
  • Use Python and SQL fluently across prototyping, feature engineering, and production pipeline development.

Stakeholder Collaboration & Communication
  • Engage directly with program leaders, operations staff, and leadership to understand business problems and define AI solutions with clear, measurable outcomes.
  • Communicate AI system behavior, limitations, and results in plain language to non-technical audiences.
  • Champion responsible, explainable AI use across the organization - ensuring solutions are trustworthy and aligned with Lasting Change's mission and values.
  • Maintain thorough documentation of all AI systems, prompt designs, agentic workflows, and integration patterns to support maintainability and knowledge transfer.

Platform Ownership & Continuous Improvement
  • Contribute to AI engineering standards and tooling choices that can scale as the organization's capability grows.
  • Leverage AI-assisted development practices to maximize engineering velocity across prototyping, documentation, and testing.
  • Stay current with developments in AI research and tooling; evaluate and introduce new capabilities where they create genuine organizational value.
  • Participate in shaping the long-term AI roadmap, including identifying when and how machine learning capabilities should be introduced over time.

Essential Functions
Reasonable accommodations may be made to enable individuals with disabilities to perform these functions.
  • Use of Fingers
  • Feeling
  • Speaking
  • Hearing
  • Repetitive Motions
  • Capable of making sound decisions by use of reasonable and logical judgments.
  • Demonstrated competence in understanding, interpreting, and communicating procedures, policies, information, ideas, and instructions.

Travel
Travel may be required occasionally to subsidiary sites and training opportunities.
Required Experience
  • 5-8 years of professional experience in AI, data engineering, software engineering, or a closely related field.
  • Demonstrated expertise in LLM integration, prompt engineering, and building AI-powered applications using modern foundation models.
  • Hands-on experience designing and deploying agentic AI workflows, including tool use and multi-step reasoning; familiarity with agent orchestration frameworks a plus.
  • Experience building or integrating MCP (Model Context Protocol) servers or equivalent agent-to-tool integration patterns.
  • Strong proficiency in Python and SQL; comfortable across prototyping, pipeline development, and production deployment.
  • Experience with cloud AI platforms; Microsoft Fabric, Azure AI Foundry, or equivalent best-in-class tooling strongly preferred.
  • Experience consuming organizational data platforms (lakehouses, warehouses, or similar) as inputs to AI systems.
  • Strong communication skills with the ability to explain AI concepts, system behavior, and trade-offs clearly to non-technical stakeholders.
  • Demonstrated commitment to responsible AI practices including explainability, fairness, and appropriate human oversight.
  • Highly organized, self-directed, and motivated by mission-driven work.

Preferred Qualifications
  • Experience with retrieval-augmented generation (RAG) architectures and vector search platforms (e.g. Azure AI Search, Pinecone, Weaviate).
  • Familiarity with MLOps concepts and an interest in growing into machine learning model development and deployment over time.
  • Exposure to healthcare, human services, or nonprofit data environments.
  • Microsoft Azure AI, Fabric, or equivalent cloud certifications.
  • Experience surfacing AI outputs through Power BI or other BI and reporting platforms.
  • Comfortable working in a greenfield environment where processes and patterns are still being established.
  • Commitment to continuous learning and professional growth in a rapidly evolving field.

Other Duties
This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required by the employee. Management reserves the right to assign or reassign duties, activities, and responsibilities to this position at any time, with or without notice.

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