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Conversational Ai Engineer Jobs (NOW HIRING)

S R INTERNATIONAL INC

Lead AI Engineer

Columbus, OH · Remote

$104K - $138K/yr

The ideal candidate will have strong expertise in conversational AI, Agentic AI, NLP, LLMs, AI APIs ... Strong programming skills in: * Python * C# * .NET * JavaScript * Experience developing APIs and ...

Digipulse Technologies, Inc

AI Engineer

Atlanta, GA · On-site

$69K - $89K/yr

The ideal candidate should have at least one year of hands-on experience with Generative AI, LLMs, prompt engineering, conversational AI, or AI testing . Key Skills * Generative AI and Large Language ...

Centrum Szkoleniowe Hector

NY · On-site

$50.75 - $63/hr

Candidates for the Azure AI Engineer Associate certification should have subject matter expertise ... Implement conversational AI solutions Recommended training for this certification #J-18808-Ljbffr

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 ...

Centrum Szkoleniowe Hector

NY · On-site

Candidates for the Azure AI Engineer Associate certification should have subject matter expertise ... Implement conversational AI solutions Recommended training for this certification #J-18808-Ljbffr

S R International, Inc.

Lead AI Engineer

$104K - $138K/yr

Lead AI Engineer Job Code: OH 808940 Client: State of Ohio - JFS Location: Remote (Ohio) Duration ... Conversational AI * Agentic AI * Virtual Assistants * NLP & LLM-based solutions * Strong ...

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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 33% Full Time, and 67% Contract. Highlights an 67% In-person, and 33% Remote job distribution.

Lead AI Engineer with Google Cloud Platform

Swanktek Inc

Albany, NY • On-site

$101K - $134K/yr

Other

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

Job description

Job Title: Lead AI Engineer with Google Cloud Platform
Location:  Albany, NY, Cleveland/ Columbus, OH, Kansas City, KS (5 days office, preferred Cleveland)
Duration: Long Term Contract
 
Overall – 10+ years

JD:-

We are seeking a Lead AI Engineer to design, build, and modernize AI-powered conversational experiences, IVR platforms, and Voice Bot solutions within the Contact Center Technology organization. This role serves as a senior hands-on engineer responsible for architecting, developing, and delivering AI-driven solutions that enhance customer self-service and agent experiences.

Unlike a traditional technical lead role, this position is deeply focused on hands-on AI engineering and solution delivery. The Lead AI Engineer will spend the majority of their time designing, building, coding, integrating, and optimizing AI-powered applications while providing technical guidance across initiatives.

The Lead AI Engineer partners closely with product, platform, voice, and operations teams to deliver secure, scalable, and highly reliable conversational AI solutions on Google Cloud Platform (Google Cloud Platform). This is a senior individual contributor role with delivery accountability, but no people management responsibility.

Required Skills & Qualifications

  • 4+ years of software engineering experience, including 2+ years as a Lead AI Engineer, Lead Engineer, Principal Engineer, or comparable senior technical contributor role.
  • Strong hands-on experience building and deploying AI-powered applications and services.
  • Strong, hands-on experience with Node.js / TypeScript.
  • Proven experience designing and delivering cloud-native solutions on Google Cloud Platform.
  • Experience implementing and integrating LLMs, conversational AI platforms, and agentic AI frameworks.
  • Solid understanding of microservices architecture, APIs, and distributed systems.
  • Hands-on Kubernetes experience, including GKE cluster setup and platform operations.
  • Experience with IVR, voice bots, conversational AI, or contact center technologies.
  • Strong collaboration skills across engineering, product, and operations teams.
  • Excellent technical judgment, communication, and problem-solving skills.

Preferred Qualifications

  • Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).
  • Experience developing AI agents, orchestration workflows, and multi-agent solutions.
  • Knowledge of voice flows, call routing, containment, and agent escalation.
  • Experience working in regulated or financial services environments.
  • Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.
  • Experience working in Agile delivery models at enterprise scale.
  • Demonstrated experience with Agentic "Vibe Coding" — rapid prototyping and iterative development using AI-assisted coding tools, prompts, and agent-driven workflows.

Key Responsibilities

  • Design and develop AI-powered IVR and voice bot solutions leveraging modern conversational AI frameworks.
  • Lead the technical architecture, engineering design, and implementation of AI-driven customer experience initiatives.
  • Build and develop Node.js / TypeScript microservices aligned to cloud-native and low-latency voice requirements.
  • Own end-to-end delivery of complex AI features, from concept and design through deployment and production support.
  • Apply agentic AI patterns utilizing Gemini, LangGraph, LangChain, and emerging AI frameworks to enhance conversational experiences.
  • Develop, test, evaluate, and optimize prompts, workflows, and AI orchestration strategies.
  • Collaborate across the contact center technology ecosystem to support call routing, self-service, and agent handoff scenarios.
  • Provide technical mentorship and code review support while contributing directly to development efforts.
  • Establish engineering best practices for AI solution development, testing, deployment, and observability.
  • Apply SRE principles to ensure resiliency, scalability, monitoring, and production readiness.
  • Ensure solutions comply with security and regulatory requirements (PII / PCI).
 

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