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Chatbot Engineer Jobs (NOW HIRING)

Devitechs

WI · On-site

Improve chatbot understanding and response accuracy. * ✔️ Integrate chatbots with APIs and backend systems. Enable seamless communication across platforms. * ✔️ Train and fine‑tune chatbot ...

Noblesoft Technologies

CCaaS Lead (DevOps/Chatbot)

Chicago, IL · On-site

$54.25 - $74.50/hr

CCaaS Lead (DevOps/Chatbot) Location: Chicago, IL, USA 60606 JD: * 10+ years of full-stack development experience * Google Dialog flow or similar platform experience (Kore.ai, Amelia.ai, Netomi0 ...

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How much do chatbot engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for chatbot engineer in the United States is $101,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a chatbot engineer?

A Chatbot Engineer is a software developer who designs, builds, and maintains chatbot applications. They use natural language processing (NLP), artificial intelligence (AI), and various programming languages to create bots that automate conversations and improve user interactions. Their responsibilities include developing chatbot logic, integrating with APIs, testing for accuracy, and optimizing performance. Chatbot Engineers work closely with data scientists, UX designers, and business teams to ensure the chatbot meets user needs.

What are the typical daily responsibilities of a chatbot engineer?

As a Chatbot Engineer, your typical day involves designing, developing, and maintaining chatbot applications, collaborating closely with UX/UI designers and product managers to define conversational flows. You will also troubleshoot issues, optimize algorithms for better user understanding, and continuously improve the chatbot's performance by analyzing user interactions and feedback. Additionally, you may participate in testing and deploying new features, integrating chatbots with third-party tools, and staying updated on the latest trends in conversational AI. This role often requires balancing technical execution with a strong focus on user experience and business goals.

What are the key skills and qualifications needed to thrive as a chatbot engineer?

To thrive as a Chatbot Engineer, you need strong programming skills (often in Python or JavaScript), familiarity with machine learning concepts, and experience in natural language processing (NLP), typically supported by a computer science degree or relevant certification. Proficiency with conversational AI platforms (such as Dialogflow, Rasa, or Microsoft Bot Framework) and cloud services is essential, and certifications in these tools can be advantageous. Creative problem-solving, excellent communication, and a user-centric mindset are key soft skills for success in this role. These abilities help ensure that chatbot solutions are technically robust, user-friendly, and effectively meet business and user needs.

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What states have the most Chatbot Engineer jobs?

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What job categories do people searching Chatbot Engineer jobs look for?

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Chatbot Engineer jobs near you
Infographic showing various Chatbot Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Chatbot, Conversational AI Engineer

Manhattan, NY • On-site

Euclid Innovations
IT Services • 501 - 1,000 employees
Learn more about Euclid Innovationsexternal

Full-time

Re-posted 12 days ago

Job description

Job Summary:
Euclid Innovations is seeking a motivated Chatbot / Conversational AI Engineer to join their Application Infrastructure team. The successful candidate will participate in all aspects of software development, working closely with chatbot experts, developers, and internal clients to implement chatbot solutions.
Responsibilities:
• Act as a subject matter expert on the chatbot platform
• Develop integrations in Python and Groovy that enable virtual agents to interoperate with various systems
• Participate in every phase of the Software Development Lifecycle
• Create Generative Artificial Intelligence solutions and drive their adoption
• Understand, refine, and translate customer requirements into working software
• Create and enhance various utilities that support the chatbot platform
• Lead design and code reviews
• Work closely with a global team of engineers, SREs, and conversational AI experts
• Identify automation opportunities and lead the way in addressing them
• Train and refine intent detection models
• Continuous Improvement of production virtual agents
• Measure, demonstrate, and articulate the value of Artificial Intelligence solutions and automation
• Support POCs and product demonstrations
Qualifications:
Required:
• Strong knowledge of software design and best practices
• Deep experience with Python coding and development
• Experience with JavaScript and Node.js and other software development frameworks and libraries
• Demonstrated knowledge and interest in Generative Artificial Intelligence / LLMs, model training, fine tuning and related APIs
• Familiarity with CI/CD practices and experience with GitHub and Jenkins
• Excellent written and verbal communication skills
• Deep experience with Agile development practices such as Scrum
• Strong background in Linux
• Solid understanding of NLP and Artificial Intelligence / Machine Learning concepts
Preferred:
• Experience designing, creating, and interfacing with Virtual Agents using Amelia, Kore.ai, Microsoft Copilot Studio or similar platform
• Sourcing and labeling training data for ML models
• Experience in generative Artificial Intelligence, and LLMs
• Familiarity with DevOps practices
• Knowledge of Docker, Kubernetes
• Experience with cloud platforms such as AWS and Azure
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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