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Chatbot Engineer Jobs (NOW HIRING)

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Genesys IVR developer

Newark, NJ · On-site

IVR Genesys Cloud CX Voice and non voice application experience Genesys cert would be nice to have IVR Chatbot Developer (Genesys focus), Level 3, Hybrid-Newark 9-12 month engagement In this cutting ...

Brooksource

Junior Automation Engineer

Charlotte, NC · On-site

$32 - $34/hr

Junior Automation Test Engineer (IVR & Chat) Location: Charlotte, NC (Hybrid; three days onsite ... Support testing efforts for IVR, contact center, and chatbot applications across Auto and Bank ...

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Chatbot Engineer information

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$39K

$101.8K

$137.5K

How much do chatbot engineer jobs pay per year?

As of Aug 21, 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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Chatbot Engineer jobs near you
Infographic showing various Chatbot Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $101,752 per year, or $48.9 per hour.

Conservational AI engineer(Voice &Chatbot solutions)

Niha Technologies, Inc.

Charlotte, NC • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Job Title: Conversational AI Engineer (Voice & Chatbot Solutions)
Location: Onsite(Charlotte)

Tax Terms: C2H
Experience: 5–10 years overall experience with 3+ years in AI / GenAI solutions

Role Overview
We are seeking an experienced AI / Generative AI Engineer to design, develop, and deploy intelligent voice and chatbots powered by LLMs and modern AI frameworks. The ideal candidate has hands-on experience with Dialogflow (CX/ES), LangChain, and building production-grade conversational AI systems that integrate with enterprise platforms and APIs.
This role involves working closely with product, engineering, and business stakeholders to deliver scalable, secure, and high-quality conversational AI solutions.

Key Responsibilities
Design, build, and deploy AI-driven voice and chatbots for customer support, operations, and enterprise use cases
Develop conversational workflows using Dialogflow (CX/ES), including intents, entities, contexts, and fulfillment
Integrate Large Language Models (LLMs) into chatbot architectures using LangChain
Build RAG (Retrieval Augmented Generation) pipelines using vector databases (Pinecone, FAISS, Chroma, etc.)
Implement prompt engineering, conversation memory, tool calling, and agent-based workflows
Integrate bots with backend systems, APIs, databases, and third-party services
Optimize bot performance for accuracy, latency, cost, and scalability
Ensure best practices around security, data privacy, and compliance
Monitor, evaluate, and continuously improve chatbot performance using analytics and user feedback
Collaborate with cross-functional teams to translate business requirements into AI solutions

Required Skills & Qualifications

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Q1> Do you have 5 Years of experience in Conversational AI.

Q2> Do you have 3+ years of experience with DialogFlow CX/CS

Q3> Do you have 2-3 years of experience with IVR

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Core AI / GenAI Skills
Strong experience in AI / Generative AI engineering
Hands-on experience with LangChain for building LLM-powered applications
Experience working with LLMs (OpenAI, Gemini, Claude, LLaMA, etc.)
Solid understanding of prompt engineering, embeddings, RAG, and agents
Conversational AI
Proven experience building chatbots and/or voice bots
Hands-on experience with Dialogflow (CX or ES) (preferred)
Experience with speech-to-text (STT) and text-to-speech (TTS) pipelines is a plus

Programming & Backend
Strong proficiency in Python (required)
Experience building APIs using FastAPI / Flask
Familiarity with cloud platforms (Google Cloud Platform preferred, AWS/Azure acceptable)
Experience with databases (SQL/NoSQL) and vector stores

Nice to Have
Experience with call center or IVR systems
Exposure to LangGraph, agent frameworks, or multi-agent systems
Knowledge of MLOps / LLMOps practices
Experience deploying AI solutions in regulated industries (healthcare, finance, etc.)
UI integration experience (Streamlit, React, or similar)
What We Offer
Opportunity to work on cutting-edge GenAI and conversational AI solutions
High ownership and visibility across AI initiatives
Flexible work environment
Competitive compensation

Apply