Conservational AI engineer(Voice &Chatbot solutions)

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