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Conversational Ai Developer Jobs in Georgia (NOW HIRING)

T-Mobile

Sr Software Engineer, Agentic AI

Atlanta, GA · On-site

$117.80K - $155.30K/yr

The engineer will contribute to systems supporting conversational and agentic AI capabilities across voice and text channels. This position requires strong technical judgment to resolve complex ...

Kaleris

Sr AI Developer

Alpharetta, GA · On-site

$53.25 - $70.25/hr

About the Role We are seeking an Sr. AI Developer who approaches every challenge with an AI-first ... Build intelligent automation, predictive analytics, and conversational interfaces into business ...

KPMG

Director, AI Engineer

Atlanta, GA · On-site

Oversee the design, architecture, and delivery of multi-agent conversational AI systems and ... Set a clear strategic vision for AI strategy and engineering offerings, staying updated on the ...

CBRE

Senior Principal AI/ML Engineer

Atlanta, GA · On-site

$120.70K - $166.40K/yr

Role Summary The Senior AI/ML Engineer is a hands-on technical practitioner responsible for ... Conversational AI Development * Architect and fine-tune intelligent virtual assistants and multi ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice ... Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

KPMG is currently seeking a Manager, AI Engineer to join our Advisory Services practice ... Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered ...

Equifax

Senior Applied AI Engineer

Alpharetta, GA · Hybrid

$102K - $140.10K/yr

Senior AI Engineer Equifax is where you can power your possible. If you want to achieve your true ... conversational AI and virtual agents to real-time analytics and agent-assist tools. You will serve ...

TMS

Cloud Developer

Alpharetta, GA · On-site

$55 - $75.25/hr

You will combine conversational AI, intelligent workflows, and integrated agents to automate and enhance developer experience using cloud at Fiserv. Primary Responsibilities: • Leading the design ...

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Conversational Ai Developer information

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

To thrive as a Conversational AI Developer, you need a solid background in computer science, natural language processing (NLP), and machine learning, often supported by a relevant degree or certifications. Familiarity with tools like Python, TensorFlow, NLP libraries (such as spaCy or NLTK), and conversational platforms (like Dialogflow or Microsoft Bot Framework) is typically required. Strong problem-solving abilities, creativity, and effective communication skills help developers design intuitive and engaging conversational experiences. These skills are crucial for building AI systems that understand and respond accurately to human language, ensuring user satisfaction and business value.

What are some common challenges Conversational AI Developers face when optimizing chatbot performance?

Conversational AI Developers often encounter challenges such as accurately interpreting user intent, handling ambiguous or unexpected queries, and maintaining natural, engaging dialogue flows. Balancing the need for robust natural language understanding with system efficiency and scalability is also key. Additionally, integrating the chatbot with existing platforms and ensuring data privacy can require careful planning and cross-functional collaboration.

What is a Conversational AI Developer?

A Conversational AI Developer is a professional who designs, builds, and maintains artificial intelligence systems that enable computers to interact with humans using natural language. These developers create chatbots, virtual assistants, and voice-enabled applications that can understand and respond to user input in a conversational manner. Their work often involves programming, natural language processing (NLP), machine learning, and integrating AI systems with various platforms or devices. They play a key role in improving user experiences through more intuitive, human-like interactions with technology.

What is the difference between Conversational Ai Developer vs Chatbot Developer?

AspectConversational Ai DeveloperChatbot Developer
Required CredentialsProgramming skills, AI/machine learning knowledge, NLP expertiseProgramming skills, basic AI understanding, scripting
Work EnvironmentTech companies, AI startups, enterprise AI teamsCustomer service, marketing, small to medium businesses
Industry UsageDevelops complex conversational systems with AI capabilitiesBuilds rule-based or simple chatbots for specific tasks
Search & Comparison IntentUnderstanding AI-driven conversational systemsCreating basic automated chat interactions

Conversational Ai Developers focus on building advanced, AI-powered conversational systems using NLP and machine learning, often working in tech or enterprise environments. Chatbot Developers typically create rule-based or simple chatbots for customer service or marketing, with less emphasis on AI complexity. While both roles involve programming and scripting, Conversational Ai Developers require deeper AI and NLP expertise for sophisticated interactions.

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Conversational Ai Developer jobs near you
Infographic showing various Conversational Ai Developer job openings in Georgia as of May 2026, with employment types broken down into 2% Internship, 63% Full Time, 2% Part Time, 2% Temporary, and 31% Contract. Highlights an 64% In-person, 3% Hybrid, and 33% Remote job distribution.
Conversational AI Engineer

Conversational AI Engineer

R2 Technologies

Alpharetta, GA • On-site, Remote

Other

This job post has expired today. Applications are no longer accepted.

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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