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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Overview

Open roles40
Top stateCalifornia
Top employerPwC
Top citySan Diego, CA
Work type35% Remote
Top industryTechnology

Showing 4 of 40+ Conversational AI Engineer jobs

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Multilingual Conversational AI Evaluator
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Added 2d ago
Multilingual Conversational AI Evaluator
Atla Creative Studio
Remote
Project & Program Management
Quality Assurance & Testing (QA Testing)
Software Engineering
$75 - $100/hr
Remote (US)

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Optum
Senior Designer, Conversational AI - Remote
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Optum
Added 2d ago
Senior Designer, Conversational AI - Remote
Optum
Minnetonka, Minnesota
Creative & Design
Product Management
UI/UX Design
$92k - $164k/yr
Hybrid
10,000+

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BV Teck
Conversational AI Engineer
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BV Teck
Added 4d ago
Conversational AI Engineer
BV Teck
Remote
AI (Artificial Intelligence)
Business Strategy
Consulting & Professional Services
$100k - $150k/yr
Remote (US)
51-200

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Twilio
Sr AI Architect - Conversational AI
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Twilio
Added 1w ago
Sr AI Architect - Conversational AI
Twilio
Seattle, Washington
Product Management
Solutions Engineering & Architecture
Technical Product & Program Management
$276k - $406k/yr
Remote (US)
Doctoral degree in statistics
5,001-10,000

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Conversational AI Engineer Job Market

Who's Hiring

PwC
PwC6 open roles
CVS Health
CVS Health3 open roles
Intuit
Intuit2 open roles

Top Industries Hiring

  • Technology & Software
  • Media & Entertainment
  • Insurance
  • Healthcare & Medical Services

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 PwC, CVS Health, and Intuit, with the largest share of openings in California, Texas, and New York, based on current listings on Migrate Mate as of August 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 65% of conversational ai engineer openings are fully remote or hybrid as of August 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 40 Conversational AI Engineer Jobs

Find roles that match your experience and apply in just a few clicks.

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