ZipRecruiter

Log In

1

Conversational Ai Engineer Jobs (NOW HIRING)

Tech Tammina LLC

AI Engineer

Okemos, MI · On-site

Job Title: AI Engineer / Applied AI Developer Okemos, MI (Hybrid): Minimum of 3 days per week ... Prior experience with building Agentic AI solutions, conversational AI chatbots or summarization ...

Forhyre

OH · On-site

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving ... Work closely with the engineering team to define technical requirements and ensure successful ...

Forhyre

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving ... Work closely with the engineering team to define technical requirements and ensure successful ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Implement RAG pipelines, vector databases, and conversational AI systems * Develop RESTful APIs and ...

Forhyre

Product Manager - Conversational AI

Plano, TX · On-site

As a Product Manager - Conversational AI at ChatBotz.ai, you will play a pivotal role in driving ... Work closely with the engineering team to define technical requirements and ensure successful ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Implement RAG pipelines, vector databases, and conversational AI systems * Develop RESTful APIs and ...

System One

AI Engineer

Salt Lake City, UT · On-site

Junior AI Engineer Location: Salt Lake City, Utah, United States Contract to hire role Description ... Implement RAG pipelines, vector databases, and conversational AI systems * Develop RESTful APIs and ...

previous page

Showing results 41-60

All JobsTechnology JobsTelecommunications JobsTelecommunications Engineer JobsConversational Ai Engineer Jobs

Conversational Ai Engineer information

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.

More about Conversational Ai Engineer jobs

What cities are hiring for Conversational Ai Engineer jobs?

Cities with the most Conversational Ai Engineer job openings:

What states have the most Conversational Ai Engineer jobs?

States with the most job openings for Conversational Ai Engineer jobs include:

What job categories do people searching Conversational Ai Engineer jobs look for?

The top searched job categories for Conversational Ai Engineer jobs are:

Conversational Ai Engineer jobs near you
Infographic showing various Conversational Ai Engineer job openings in the United States as of August 2026, with employment types broken down into 62% Full Time, 3% Part Time, and 35% Contract. Highlights an 68% In-person, 3% Hybrid, and 29% Remote job distribution.

Software Engineer - Conversational AI

Symple Lending LLC

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 24 days ago

Job description

*Hybrid - Tampa, FL
About Symple Lending
Symple Lending is a fast-growing fintech company transforming the consumer lending experience
through technology, data, and high-performance marketing. We leverage AI, automation, and
modern cloud infrastructure to create smarter customer experiences while driving measurable
business results.
Our environment is fast-paced, execution-driven, and focused on measurable outcomes. We
prioritize builders-people who take ownership, move quickly, and solve problems at the system
level.
About the Role
We're seeking a Software Engineer - Conversational AI to join our Customer Engagement team.
You'll design, build, and maintain the cloud infrastructure and REST APIs that power our AI voice
agents while supporting real-time contact center operations, including call routing, lead
management, outbound campaigns, and conversation storage.
What You'll Do
• Design and develop TypeScript AWS Lambda REST APIs for AI voice agents.
• Build and maintain conversational AI agents in ElevenLabs and Zoom Virtual Agent (ZVA).
• Perform prompt engineering, tool definition, and agent optimization.
• Write unit and integration tests following TDD best practices.
• Develop Infrastructure as Code using AWS CDK (TypeScript).
• Integrate with Twilio or similar telephony platforms for calls and SMS.
• Monitor, troubleshoot, and optimize production systems using CloudWatch.
• Participate in code reviews and architectural decisions.
• Partner with business stakeholders to translate requirements into scalable APIs and AI
solutions.
What We're Looking For
• Production experience with TypeScript, Node.js, and AWS.
• REST API development using API Gateway or similar technologies.
• Experience with conversational AI platforms (ElevenLabs, ZVA, AWS Lex, Dialogflow, or
similar).
• Prompt engineering and AI agent configuration experience.
• AWS Lambda, API Gateway, DynamoDB, SQS, SNS, S3, EventBridge, and AWS CDK.
• Experience integrating Twilio or other telephony providers.
• Strong TDD practices using Jest or similar frameworks.
• Knowledge of IAM, secrets management, secure API design, and Git workflows.
• Ability to collaborate in a fast-paced engineering environment.
Preferred Qualifications
• HubSpot CRM integrations
• GitHub Actions CI/CD pipelines
• SQL, Redshift, Athena, or similar analytics platforms
• CloudWatch dashboards and observability
• EventBridge Scheduler experience
Technologies You'll Work With
• Node.js & TypeScript
• AWS Lambda, API Gateway, CDK
• DynamoDB, Amazon S3
• SQS, SNS, EventBridge Scheduler
• Twilio
• ElevenLabs & Zoom Virtual Agent
• CloudWatch & pino structured logging
• Git & GitHub
Why Join Symple Lending
• Build cutting-edge AI solutions with real business impact.
• Work alongside a collaborative, high-performing engineering team.
• Own scalable systems that directly improve the customer experience.
• Join a company that values innovation, ownership, and execution.
Compensation & Benefits
• Competitive base salary
• Performance bonus opportunities
• Medical, dental, and vision coverage
• 401(k) with company match
• Paid time off and holidays
• Hybrid work environment in Tampa, FL

Apply