Conversational AI Engineer

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., 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

Do you have experience in Texting/chatbox tools?, Experience: 5-10 years overall experience with 3+ years in Conversational AI / GenAI solutions, 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 (GCP 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)

$95,284.97 - $114,751.79 a year - Full-time, Contract, Pulled from the full job description

• Health insurance
• Life insurance, Opportunity to work on cutting-edge GenAI and conversational AI solutions High ownership and visibility across AI initiatives Flexible work environment Competitive compensation