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Conversational Ai Engineer Jobs (NOW HIRING)

Forhyre

Tech Lead - Conversational AI

Los Angeles, CA · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

Plano, TX

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Anblicks

Senior AI Engineer

Dallas, TX

$103K - $142K/yr

Senior AI Engineer Location: Dallas, TX Role Overview * Lead the design, development, and ... Build intelligent automation flows and conversational AI agents using frameworks like LangGraph ...

Forhyre

Tech Lead - Conversational AI

New York, NY

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

OH · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

Phoenix, AZ

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

Dallas, TX

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

New York, NY · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

System One Holdings, LLC

AI Engineer

Salt Lake City, UT · On-site

... conversational AI systems • Develop RESTful APIs and microservices (e.g., FastAPI) for model ... engineering, and business teams Required qualifications to be successful in this role What you'll ...

Forhyre

Tech Lead - Conversational AI

Charlotte, NC

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

Forhyre

Tech Lead - Conversational AI

New York, NY · On-site

Bachelor's degree in Computer Science, Engineering, or a related field. * Proven experience as a Tech Lead or similar role in developing conversational AI solutions. * Strong programming skills in ...

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All JobsConversational Ai Engineer Jobs

Conversational Ai Engineer information

What are the key skills and qualifications needed to thrive as a Conversational AI Engineer, and why are they important?

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 designs, develops, and maintains chatbots and virtual assistants that enable natural language interactions. They typically work with machine learning, natural language processing, and speech recognition tools to create systems that understand and respond to user input effectively.

What engineers make $500,000?

Senior engineers in specialized fields such as software engineering, data engineering, or AI engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and in high-demand industries. These roles often require expertise in programming, cloud platforms, and leadership, and may include stock options or bonuses that contribute to total compensation.

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 salary of a conversational AI engineer?

The average salary of a conversational AI engineer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in natural language processing and machine learning can earn higher salaries. Many positions also offer benefits such as flexible schedules and opportunities for professional development.

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 is a $900,000 AI job?

A $900,000 AI job typically refers to highly senior roles such as Lead AI Engineer or AI Director, which involve overseeing large-scale AI projects, developing advanced models, and leading teams. These positions often require extensive experience, advanced skills in machine learning and deep learning, and may include stock options or bonuses that contribute to the high total compensation.
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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 June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
AI Engineer with Databricks

AI Engineer with Databricks

RIT Solutions

Manhattan, NY

Other

Posted 15 days ago

Job description

AI Engineer with Databricks

We are seeing a highly skilled senior AI Engineer to join our innovative team. The ideal candidate will be responsible for developing and deploying intelligent AI solutions using VS Code, Azure AI Studio, and Databricks. You will integrate AI powered solutions across multiple channels like Web applications, etc.

Key Responsibilities:
  • Design, develop and deploy intelligent conversational AI solutions using Azure AI technologies, and Databricks.
  • Utilize VS code, Databricks and AI studio for model development, testing, deployment, and monitoring.
  • Build and manage AI agents for automation and advanced conversational experiences.
  • Integrate the AI services into applications using python frameworks such as Django, FastAPI, and Flask; build secure REST endpoints, async workers, and SDK-based clients.
  • Collaborate with cross functional teams to gather requirements, design conversational flows, and implement scalable solutions.
  • Monitor and optimize AI model performance, ensuring reliability and accuracy.
  • Develop reusable components and pipelines in Azure AI and Databricks for rapid solution deployment.
  • Ensure adherence to data privacy and security standards within all AI implementations.
Technical Skills and Qualifications:

· BS or MS in Computer Science, Engineering, or related fields

· Proven experience working with Azure AI services (e.g. Azure OpenAI, Azure Bot service, Cognitive services, Copilot)

· Hands-on experience with Databricks Genie and building AI agents for enterprise use cases.

· Familiarity with MCP for secure and standardized integration of AI models with external tools and APIs.

· Strong understanding of NLPs, LLMs and RESTful API integration.

· Familiarity with Microsoft Copilot, Github Copilot, Azure AI Services, Databricks including practical experience with Azure Machine Learning and Azure Open AI

· Proven experience with AI/ML model evaluation, deep understanding of machine learning algorithms and data processing techniques

· Expertise in designing MLOps pipelines, encompassing model registry security, secure model deployment, and runtime security monitoring for AI models.

Apply