Conversational AI Engineer Jobs
Conversational AI Engineer jobs are open across tech, healthcare, financial services, and enterprise software, from new-grad to principal and staff level, with specializations in dialogue systems, large language model fine-tuning, and voice interface development. Find a role that fits from the openings below and apply directly.
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Job Title: Conversational AI / Generative AI Engineer (Voice & Chatbot Solutions)
Location: Remote
Experience: 5–10 years overall experience with 3+ years in Conversational 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
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)
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
Pay: $95,284.97 - $114,751.79 per year
Benefits:
- Health insurance
- Life insurance
Work Location: Remote
Rajesh Tiwari
Phone: 571-475-3533
Email: rajesh.tiwari@nihatech.com
Website:
13221, Woodland Park Rd, Suite 495, Herndon, VA. 20171
Job Title: Conversational AI / Generative AI Engineer (Voice & Chatbot Solutions)
Location: Remote
Experience: 5–10 years overall experience with 3+ years in Conversational 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
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)
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
Pay: $95,284.97 - $114,751.79 per year
Benefits:
- Health insurance
- Life insurance
Work Location: Remote
Rajesh Tiwari
Phone: 571-475-3533
Email: rajesh.tiwari@nihatech.com
Website:
13221, Woodland Park Rd, Suite 495, Herndon, VA. 20171
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Find JobsConversational AI Engineer Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Collectivehealth1
- Cresta1
- Cresta Intelligence1
- Klaviyo1
- Known1
Top Industries Hiring
- Technology & Software4
- Banking & Financial Services1
- Insurance1
- Media & Entertainment1
- Telecommunications1
What Employers Look For
The qualifications that appear most often in conversational AI engineer jobs.
- Experience designing and deploying NLU or LLM-based conversational systems in production
- Proficiency in Python and familiarity with at least one major dialogue framework such as Rasa, Dialogflow, or Lex
- Knowledge of prompt engineering, retrieval-augmented generation, or fine-tuning techniques for large language models
- Ability to evaluate conversational quality using metrics like intent accuracy, slot-filling precision, and task completion rate
- Experience integrating conversational agents with APIs, CRMs, or contact-center platforms
- Bachelor's or master's degree in computer science, computational linguistics, or a related field
Tips for Your Conversational AI Engineer Job Search
Tailor your resume for each stack
Hiring managers scan for specific frameworks fast. Call out whether your experience is in Rasa, Dialogflow, Amazon Lex, or custom LLM pipelines by name, and match the tools listed in each job posting rather than listing every technology you've touched.
Showcase deployed conversational systems
A GitHub repo of notebooks rarely lands interviews on its own. Link to or describe production chatbots, voice assistants, or agent pipelines you shipped, including the channel they ran on, the scale, and the measurable outcome your work drove.
Apply early to roles that fit
Migrate Mate lists conversational ai engineer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by domain to sharpen targeting
Conversational AI skills transfer across industries, but interview questions differ sharply between healthcare compliance use cases and consumer-facing retail bots. Decide which domain you want to specialize in first, then search that vertical specifically rather than applying broadly.
Prepare to walk through an end-to-end NLU design
Most technical screens ask you to design an intent taxonomy, handle edge cases, and explain how you'd evaluate model quality. Practice talking through your intent-entity design decisions out loud, not just what you built but why you made those tradeoffs.
Negotiate on scope, not just compensation
Conversational AI roles vary widely in autonomy. Before accepting an offer, ask specifically whether you own the full dialogue design or implement designs handed to you, and whether the team has a roadmap for moving from rule-based to generative approaches.
Conversational AI Engineer Jobs: Frequently Asked Questions
Which companies are hiring the most conversational ai engineers?
The companies hiring the most conversational ai engineers right now include Collectivehealth, Cresta, and Cresta Intelligence, with the largest share of openings in Texas, Massachusetts, and California, based on current listings on Migrate Mate as of June 2026. Demand is especially concentrated at enterprise software companies and healthcare technology firms building patient-facing or internal support automation.
How many conversational ai engineer jobs are remote?
About 75% of conversational ai engineer openings are fully remote or hybrid as of June 2026, reflecting the discipline's strong orientation toward software-first work. Roles focused on LLM integration and prompt engineering tend to be the most remote-friendly, while positions tied to voice hardware or contact-center platform deployments more often require on-site presence.
How do you become a conversational ai engineer?
Start by building a foundation in Python and natural language processing through coursework or self-study, then work with at least one dialogue framework such as Rasa or Dialogflow on a real project. Develop hands-on experience with large language model APIs, practice designing intent taxonomies, and document at least one deployed or end-to-end prototype you can speak to in interviews. A portfolio of shipped or demonstrable conversational systems carries more weight than credentials alone.
Can I get a conversational ai engineer job with little or no experience?
Yes, entry-level and associate conversational ai engineer roles exist, but they expect demonstrated technical work even without professional history. Build a chatbot or voice assistant using an open-source framework, publish it with clear documentation, and write up the design decisions you made. Roles at startups or in internal tooling teams are more likely to take on candidates who show strong fundamentals and a concrete project over those with only academic coursework.
What does the conversational ai engineer interview process look like?
The process typically runs three to four stages. A recruiter screen is followed by a technical phone interview covering NLU concepts, intent design, and Python fundamentals. The main round usually includes a take-home or live system design exercise where you build or critique a conversational flow, plus a behavioral panel. Final rounds often add a domain-specific discussion about evaluation methodology or how you'd handle failure modes in production.
Where can I find and apply to conversational ai engineer jobs?
You can find and apply to conversational ai engineer jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All Conversational AI Engineer Jobs
Jump back to the full list of openings and apply to any conversational AI engineer role that fits.
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