ZipRecruiter

Log In

1

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 · On-site

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

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

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 ...

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

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

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 ...

Parloa

Sr Value Engineer - West Coast

Francisco, IN · On-site +1

$98K - $135K/yr

... conversation feel effortless for both customers and the companies serving them. As agentic AI ... As a Senior Value Engineer - West Coast at Parloa, you own the financial and strategic narrative ...

Accenture

Gemini Enterprise for CX Specialist

Carmel, IN · On-site

$70K - $196K/yr

Designs and engineers enterprise-ready AI agents encompassing retrieval, orchestration, policy ... Minimum of 3 years of experience in technology transformation, with a focus on Conversational AI ...

Parloa

Senior Agent Architect

Florence, IN

... AI solutions for global enterprise clients. You will also shape the conversational experience layer, using prompt engineering and your knowledge of LLMs to translate customer requirements into agent ...

next page

Showing results 1-20

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 31, 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 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 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 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 6% Internship, 59% Full Time, and 35% Contract. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $116,037 per year, or $55.8 per hour.

Senior AI Engineer - Bioinformatics

Indianapolis, IN • On-site

Marlabs
IT Services • 1 - 5K employees
Learn more about Marlabsexternal

Full-time

Re-posted 5 days ago

Job description

Marlabs, a global AI and Digital Solutions Consulting firm, delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide. As we continue to expand our global footprint, we have an exciting opportunity for a highly skilled Senior AI Engineer - Bioinformatics to join our innovative and dynamic team.
Senior AI Engineer - Bioinformatics | About You
As a Senior AI Engineer - Bioinformatics, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.
Senior AI Engineer - Bioinformatics | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Engineer - Bioinformatics | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

Apply