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Assistant Chatbot Developer Jobs (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Experience with agentic AI chatbot development or internal AI assistants. * Knowledge of Generative ... Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Lorvin Technologies

AI Engineer

East Hartford, CT

... assistants. Build chatbot and voicebot solutions using LLMs and NLP frameworks. 5+ years of ... Create prompt engineering strategies for accurate and context-aware responses. Develop multi-turn ...

New

Flex

Lead, CS AI Content

New York, NY · On-site

Write and maintain AI-native content across chatbot, voicebot, and agent assist tools, including ... Ability to collaborate effectively with cross-functional partners including Product, Engineering ...

MSR Cosmos

Google Cloud ML Engineer

Dallas, TX · On-site

$55.25 - $73.75/hr

Dallas, TX (Day1 Onsite) Duration: Long Term We seek an experienced developer to design, build, and ... Solid understanding and practical application of MLOps best practices for chatbot pipelines ...

AT&T

Lead Software Engineering

Alpharetta, GA

$145K - $211.90K/yr

Collaborate with engineers, architects, and clients to validate test environments, test data, and ... powered chatbot/virtual assistants. Utilize Agenic AI, LangChain, LangGraph, LangSmith, and ...

AT and T

Lead Software Engineering

Alpharetta, GA · On-site

$145K - $211.90K/yr

Collaborate with engineers, architects, and clients to validate test environments, test data, and ... powered chatbot/virtual assistants. Utilize Agenic AI, LangChain, LangGraph, LangSmith, and ...

Tech Tammina LLC

AWS Connect Engineer

Addison, TX · On-site

IVR / Chatbot Development, including deep knowledge of best practices in IVR and chatbot creation ... Apply security best practices and compliance requirements (PCI-DSS, GDPR, etc.). * Assist in ...

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Assistant Chatbot Developer information

What are the key skills and qualifications needed to thrive as an Assistant Chatbot Developer, and why are they important?

To thrive as an Assistant Chatbot Developer, you need foundational programming skills (such as Python or JavaScript), understanding of natural language processing (NLP) concepts, and a relevant degree or coursework in computer science or related fields. Familiarity with chatbot frameworks (like Dialogflow or Microsoft Bot Framework), API integration, and version control systems (such as Git) is typically required. Strong problem-solving abilities, attention to detail, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, user-friendly chatbots that meet business requirements and deliver a seamless user experience.

What are some common challenges faced by Assistant Chatbot Developers when integrating chatbots with existing systems?

Assistant Chatbot Developers often encounter challenges when integrating chatbots with existing platforms such as customer relationship management (CRM) tools, databases, or third-party APIs. These challenges include ensuring data compatibility, maintaining security standards, and addressing latency issues for real-time interactions. Successful integration typically requires close collaboration with IT and development teams, as well as thorough testing to identify and resolve any bugs or inconsistencies. Being proactive in communication and documentation can help streamline the integration process and deliver a seamless user experience.

What are Assistant Chatbot Developers?

Assistant Chatbot Developers are professionals who design, build, and maintain chatbot systems that interact with users through text or voice interfaces. They work on programming chatbots to understand user queries and deliver accurate, helpful responses. These developers use natural language processing (NLP) and machine learning tools to enhance chatbot capabilities and improve user experiences. Their work often involves collaborating with UX designers, data scientists, and software engineers.

What is the difference between Assistant Chatbot Developer vs Chatbot Developer?

AspectAssistant Chatbot DeveloperChatbot Developer
Required SkillsNatural language processing, AI integration, scriptingAI, NLP, software development, API integration
Work EnvironmentTech companies, customer service platforms, AI startupsSoftware firms, AI companies, enterprise solutions
Common UsageBuilding virtual assistants for specific tasksDesigning complex chatbots for various industries

Assistant Chatbot Developers focus on creating virtual assistants that handle specific tasks, often with a user-friendly interface. Chatbot Developers build more complex, multi-purpose chatbots for broader applications. Both roles require similar skills in AI and NLP but differ in scope and complexity.

What cities are hiring for Assistant Chatbot Developer jobs? Cities with the most Assistant Chatbot Developer job openings:
What are the most commonly searched types of Chatbot Developer jobs? The most popular types of Chatbot Developer jobs are:
What states have the most Assistant Chatbot Developer jobs? States with the most job openings for Assistant Chatbot Developer jobs include:
What job categories do people searching Assistant Chatbot Developer jobs look for? The top searched job categories for Assistant Chatbot Developer jobs are:
Assistant Chatbot Developer jobs near you
Infographic showing various Assistant Chatbot Developer job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Conversational AI Engineer

Conversational AI Engineer

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 15 hours ago

Job description

Overview:
Description:
Our client is looking for a Conversational AI Engineer to design, implement, and enhance a conversational AI agent leveraging the latest advancements in Generative AI and Natural Language Processing (NLP).
This role will work closely with business stakeholders to understand user needs, analyze AI interactions, and develop intelligent, responsive chatbot experiences. The ideal candidate has experience with Dialogflow CX, Vertex AI, BigQuery, and Looker Studio, as well as a deep understanding of LLMs (Large Language Models), prompt engineering, and fine-tuning AI models.
Tasks:
Develop and optimize a Generative AI-powered virtual assistant to provide accurate, dynamic, and context-aware responses.
Leverage LLMs and fine-tuning techniques within Vertex AI for advanced conversational capabilities.
Implement and refine conversational experiences in Dialogflow CX, incorporating Playbooks and Tools for structured interactions.
Analyze chatbot performance using BigQuery and Looker Studio to identify areas for improvement and enhance response quality.
Create guided conversational flows and prompt engineering strategies to optimize AI responses.
Enhance AI reasoning and retrieval-augmented generation (RAG) techniques to improve the agent's ability to pull in relevant, up-to-date information.
Integrate Google Cloud Functions for seamless backend connectivity and automation.
Work with stakeholders to ensure AI solutions align with business goals and compliance requirements.
Monitor and iterate on AI model performance, implementing continual improvements based on user feedback and analytics.
Knowledge, Skills and Abilities Required:
Strong problem-solving skills and ability to work with both technical and non-technical stakeholders.
Skills Required:
Experience developing AI-powered chat bots or virtual assistants, preferably using Dialogflow CX and Vertex AI.
Strong understanding of Generative AI, LLMs, NLP, and prompt engineering techniques.
Proficiency in Google Cloud Services, including Vertex AI, BigQuery, Looker Studio, and Cloud Functions.
Familiarity with Dialogflow Playbooks and Tools for structured conversational AI development.
Experience analyzing AI performance metrics and improving model accuracy.
Ability to translate business needs into effective Generative AI solutions.
Bachelors or master's degree in computer science, Computer Information Systems, AI, or a related field
Skills Desired:
Familiarity with APIs, cloud security best practices, and AI ethics
Proficiency in Python or JavaScript for AI model integration and automation.
Experience with RAG-based AI approaches to improve knowledge retrieval in conversations.
Experience deploying infrastructure as code using Terraform.
Skills:
NLP

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