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Conversational Ai Engineer Jobs (NOW HIRING)

KeyCorp

Lead AI Engineer

Manhattan, NY · On-site

$125 - $150/hr

Contact Center TechnologyExperience: 4+ yearsAbout the RoleKeyBank is seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot ...

Voiceplug Inc.

Engineer - Conversational AI

Palo Alto, CA · On-site

$125 - $150/hr

Graduate/Postgraduate in engineering, preferably in Computer Science or related. * At least 4 years of experience working on NLP or Conversational AI products such as Chatbots or Voicebots. * At ...

Govserviceshub

WI · On-site

$125 - $150/hr

... Engineer Work Location:Farmington Hills Michigan Description Must Have Technical Skills: * Java ... Priorexperience with building Agentic AI solutions, conversational AI chatbots orsummarization ...

Tror AI for everyone

Java AI Engineer

Farmington Hills, MI · On-site

$51 - $69.75/hr

JOB Title: Java AI Engineer Location: Farmington Hills, MI (Hybrid) Hiring Type: Contract Note ... Prior experience with building Agentic AI solutions, conversational AI chatbots or summarization ...

Symple Lending, Inc.

$125 - $150/hr

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 ...

eTeam

Google Conversational AI Developer

Bethpage, NY · On-site

Job Summary : eTeam is seeking a Google Conversational AI Developer for Infosys Pontoon. The role involves designing and developing applications using Google NLP and integrating APIs, while also ...

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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.

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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.

Conversational AI/ Chatbot Developer

Diverse Agile Solutions

Adelphi, MD • On-site, Remote

$85K - $90K/yr

Full-time

Posted 6 days ago

Job description

Conversational AI / Chatbot Developer
Diverse Agile Solutions, LLC (DAS) is seeking an experienced Conversational AI / Chatbot Developer to support an enterprise client and help design, develop, integrate, and optimize next-generation conversational AI experiences.
This is an exciting opportunity for a developer who enjoys working at the intersection of traditional conversational AI, Generative AI, and autonomous AI agents. The ideal candidate will have strong Microsoft Azure conversational technology experience and be comfortable integrating AI solutions with enterprise platforms such as Salesforce and PeopleSoft.
What You'll Do
  • Design, develop, test, deploy, and maintain enterprise chatbots, virtual assistants, and AI agents.
  • Develop and maintain conversational applications using Azure Bot Framework SDK v4.
  • Build conversational workflows using Waterfall Dialogs, custom middleware, and state management.
  • Help modernize existing chatbot capabilities using Azure AI Foundry, Microsoft Copilot Studio, and Microsoft Agents 365 / Microsoft 365 Agents SDK technologies.
  • Integrate conversational applications with enterprise systems using MuleSoft, REST APIs, Salesforce, and PeopleSoft.
  • Develop Salesforce Live Chat and Case Management integrations for human-agent escalation and automated case routing.
  • Build rich conversational experiences using Adaptive Cards across web, mobile, and messaging channels.
  • Integrate Azure Conversational Language Understanding (CLU) with Azure OpenAI/GPT to support intent recognition, routing, fallback handling, and contextual responses.
  • Develop and optimize RAG and LLM-based solutions.
  • Monitor conversation logs, intent accuracy, containment rates, and other performance metrics to continuously improve the user experience.
  • Use tools such as Azure Application Insights and Power BI to analyze conversational performance.
  • Work with Product Managers, UX Designers, developers, and business stakeholders to translate business requirements into effective conversational experiences.
  • Participate in Agile development, testing, code reviews, and CI/CD activities.
Required Qualifications
  • 3+ years of software development experience with a focus on Conversational AI, NLP/NLU, chatbots, or LLM/AI agent development.
  • Hands-on experience with Azure Bot Framework SDK v4.
  • Experience with Waterfall Dialogs, custom middleware, and conversation state management.
  • Strong programming experience with C# and .NET.
  • Experience with JavaScript, HTML, and CSS.
  • Experience with Azure OpenAI and/or Generative AI technologies.
  • Experience with Azure CLU or other NLU technologies.
  • Experience integrating enterprise applications through REST APIs and/or MuleSoft.
  • Experience with Salesforce and/or PeopleSoft integrations.
  • Strong understanding of conversational design, APIs, enterprise integration, and cloud-based application development.
  • Excellent communication skills and ability to work effectively with technical and non-technical stakeholders.
Preferred Qualifications
  • Experience with Azure AI Foundry.
  • Experience with Microsoft Copilot Studio.
  • Experience with Microsoft Agents 365 / Microsoft 365 Agents SDK.
  • Experience developing Adaptive Cards.
  • Salesforce Live Chat and Case Management integration experience.
  • Experience with Azure Cosmos DB for conversation state and user context.
  • Experience with Azure Application Insights and Power BI.
  • Experience developing RAG/LLM orchestration solutions.
  • Experience building or maintaining CI/CD pipelines using Azure DevOps, GitHub Actions, or similar tools.
  • Experience working in higher education or other complex enterprise environments.
  • Experience with agentic AI and autonomous AI architectures.
Why Join DAS?
At Diverse Agile Solutions, you'll work on challenging technology initiatives involving Artificial Intelligence, Cloud, DevSecOps, Cybersecurity, Agile Transformation, and Enterprise IT modernization.
We are a growing technology services company that values technical excellence, collaboration, accountability, and professional growth.
Position Details
Position: Conversational AI / Chatbot Developer
Company: Diverse Agile Solutions, LLC
Employment Type: Contract
Work Arrangement: [Remote potential depending on candidate]
Location: Adelphi, MD
Duration: Initially 6 month with possible extension
Compensation: $85,000 - $90,000
How to Apply
If you're an experienced Conversational AI developer who is excited about combining Azure, Generative AI, enterprise integrations, and next-generation AI agents, we'd like to hear from you.

Apply