1

Conversational Ai Engineer Jobs in Indiana (NOW HIRING)

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 ...

... 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 ...

At Gather AI, we're not just creating software; we're pioneering a new era of warehouse ... conversational analytics. * Build a semantic and metrics layer so every metric, such as "scan ...

... AI-generated code, debugging errors, extending functionality through conversation, and deploying ... non-programmers building first applications through developers integrating AI into existing ...

Vibe Coding Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

... AI-generated code, debugging errors, extending functionality through conversation, and deploying ... non-programmers building first applications through developers integrating AI into existing ...

Vibe Coding Tutor

Indianapolis, IN · Remote

$18 - $40/hr

... AI-generated code, debugging errors, extending functionality through conversation, and deploying ... non-programmers building first applications through developers integrating AI into existing ...

Showing results 21-40

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:
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.

Lead Software Engineer (.NET/C# - AI Integration Focused)

Spot Inc.

Indianapolis, IN • On-site

$99K - $133K/yr

Full-time

Re-posted 26 days ago


Job description

Today's logistics marketplace is an ever-changing landscape where you can make your mark. Spot gives you the tools to tackle industry challenges for our partners. Here, initiative, drive, and teamwork form the basis for a rewarding, fast-paced career.
About the Role:
In the Lead Software Engineer role, with a focus in AI Integration, you'll collaborate with a dynamic team to design and implement new features and integrations that expand the functionality of our platform using .NET and C#. As technology evolves, you will also be tasked with refining existing solutions, ensuring they remain efficient, scalable, and aligned with modern standards. Performance is key. You'll be responsible for coupling our broad technical ecosystem with emerging technologies such as AI Agents, Document Intelligence, Image Processing and more.
Responsibilities:
  • Integrate a variety of business workflows with AI services, using a fully programmatic approach.
  • Leverage the .NET ecosystem to achieve a performant, stable experience for our users.
  • Engineer efficient solutions and investigate questions around application performance and behavior.
  • Utilize source control in a collaborative environment to contribute code and to participate in code reviews.
  • Communicate effectively and often as barriers arise and as ideas surface.
  • Contribute to architectural decisions and technical design discussions.

Required Qualifications:
  • Four-year degree in CS or related field, or similar, relevant technical experience.
  • 5+ years of professional .NET/C# experience/exposure.
  • Expertise in building agentic AI workflows and autonomous AI systems
  • Familiarity with RAG pipelines, vector databases, and orchestration frameworks
  • Experience and interest in leveraging AI/LLM solutions for business goals.
  • Familiarity with Git and collaborative source control concepts.

Skills:
  • Ability to thrive in a fast-paced environment and meet performance metrics.
  • Strong conversational skills - persuasiveness, confidence, resilience.
  • Collaborative spirit, passion, self-motivation.
  • Organization and attention to detail.
  • Adaptability, multi-tasking ability, sense of urgency.
  • Confident decision-making skills, problem-solving ability, and issue resolution skills.

NOTE: This position is only available on-site 5 days per week at our Indianapolis, Chicago, or Tampa offices.
#LI-ZH1
Spot is built on relationships, combining 24/7 support with a proven, passionate, and dedicated team of logistics professionals. You can reach your true potential through the unlimited opportunities we offer. When you put in the effort, show initiative, solve problems, and build lasting client relationships, you earn respect and rewards. You'll also be a key component to the success of an industry leader. At Spot, we've never lost the entrepreneurial spirit that provides the foundation for our success.
Spot Freight, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Spot Freight is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a disability, you need a reasonable accommodation, please contact our Human Resources team to notify us of your request. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

S P O T logo

About S P O T

Sourced by ZipRecruiter

Industry

Offices of physical, occupational and speech therapists, and audiologists

Company size

11 - 50 Employees

Headquarters location

Redding, CA, US

Year founded

2019