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Remote Ai Conversation Designer Jobs (NOW HIRING)

Designing scalable RAG pipelines for government knowledge bases * Building conversation engines ... AI Systems: LLMs, embeddings, vector retrieval, RAG pipelines * Infrastructure: AWS, Docker

You will design across agent workflows, conversational systems, and developer-facing tools, helping ... You will collaborate closely with product managers and engineers in a fast-paced, remote-first ...

Design end-to-end payment experiences across web interfaces and conversational AI agents, ensuring ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

This is a role for a strategic architect who thrives at the forefront of the Conversation ... Support for remote and hybrid work connectivity needs * Pre-tax Commuter Benefits: Tax-efficient ...

Prototype early and often using modern design and AI tools, including conversational flows ... Remote first work from home culture * Flexible Time Off to help you rest, recharge, and connect ...

Cresta's unified AI platform combines conversational AI agents, real-time human agent augmentation ... Remote work setup budget to help you create a productive home office * Monthly wellness and ...

Outreach infuses agentic AI, conversation intelligence, and assistive AI to power hundreds of use ... The AI GTM Architect is responsible for designing and scaling how AI powers Outreach's revenue ...

Experience designing conversational, chat-based, or AI-assisted user interfaces * Experience ... Remote Time zone requirements The team operates on the East/West coast time zones. Travel ...

AI Engineer Role: JFS is seeking an experienced Artificial Intelligence (AI) Engineer, who ... ยท Designing conversational flows that provide a seamless and intuitive user experience. Strong ...

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Remote Ai Conversation Designer information

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$31K

$56.7K

$86K

How much do remote ai conversation designer jobs pay per year?

As of Jun 30, 2026, the average yearly pay for remote ai conversation designer in the United States is $56,698.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,500.00 and $65,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Ai Conversation Designer vs Remote Chatbot Developer?

AspectRemote Ai Conversation DesignerRemote Chatbot Developer
CredentialsBackground in linguistics, UX design, or AIProgramming skills, experience with chatbot platforms
Work EnvironmentDesign-focused, collaborative with AI teamsDevelopment-focused, coding and testing
Industry UsageAI, customer service, UX designTech, software development, AI applications
Search & Comparison IntentUnderstanding design roles in AI chat systemsTechnical development of chatbots

Remote Ai Conversation Designers focus on crafting conversational flows, user experience, and linguistic accuracy, often working closely with AI and UX teams. In contrast, Remote Chatbot Developers primarily handle coding, integrating APIs, and building the technical framework of chatbots. Both roles are essential in AI-driven customer service but differ in skill sets and daily tasks.

How much do conversational AI designers make?

Conversational AI designers typically earn between $70,000 and $130,000 annually, depending on experience, location, and the complexity of projects. Senior roles or those with specialized skills in natural language processing and machine learning can command higher salaries. Many positions also offer remote work options and opportunities for skill development in AI tools and frameworks.

How to become an AI interaction designer?

To become an AI interaction designer, develop skills in user experience design, human-computer interaction, and natural language processing. Gaining experience with design tools like Figma or Adobe XD and understanding AI platforms such as Dialogflow or Rasa can be beneficial, along with a background in psychology or linguistics. Building a portfolio of conversational interfaces and staying updated on AI advancements are also important steps.

Which 3 jobs will survive AI?

Remote AI Conversation Designers are likely to continue in demand as they develop and refine AI interactions, requiring skills in language, psychology, and user experience. Other jobs expected to persist include healthcare professionals, such as doctors and nurses, due to the need for human judgment and empathy, and skilled trades like electricians and plumbers, which rely on physical work and problem-solving. These roles involve complex human elements or physical tasks that AI cannot easily replicate.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as AI research directors, chief AI officers, or senior machine learning executives, often requiring advanced skills, extensive experience, and leadership responsibilities. These positions may involve overseeing AI strategy, developing innovative models, and managing large teams or projects, and they usually offer compensation packages including salary, bonuses, and stock options. Such roles are rare and usually found in large tech companies or organizations heavily invested in AI development.
More about Remote Ai Conversation Designer jobs
What cities are hiring for Remote Ai Conversation Designer jobs? Cities with the most Remote Ai Conversation Designer job openings:
What are the most commonly searched types of Ai Conversation Designer jobs? The most popular types of Ai Conversation Designer jobs are:
What states have the most Remote Ai Conversation Designer jobs? States with the most job openings for Remote Ai Conversation Designer jobs include:
Infographic showing various Remote Ai Conversation Designer job openings in the United States as of June 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $56,698 per year, or $27.3 per hour.
Software Engineer - AI

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Key responsibilities

  • Build and evolve the Conversation Engine to power pre-drafted email, chat, and voice responses, including conversation state, memory, and response generation.

  • Own the RAG pipeline end-to-end, including document ingestion, chunking, embeddings, indexing, retrieval, reranking, and grounded response generation.

  • Implement AI tooling and function calling to connect LLM workflows to internal systems with validation and safe execution patterns.


Job description

At Just Appraised, we're replacing outdated, manual local government workflows with modern software used by hundreds of government agencies across the United States. Our cutting-edge, AI-powered software, which leverages Natural Language Processing (NLP), replaces manual data entry to eliminate delays, backlogs, and errors. This work directly impacts how communities fund schools, infrastructure, and public services.
About the Role
We're hiring an AI Engineer to help build the systems behind our AI conversation engine and automation platform.
You'll design and scale AI systems that generate responses, retrieve relevant knowledge, and connect LLM workflows to real government data systems.
This is a role for engineers who enjoy building production AI systems with real applications and impact - not just prototypes.
We don't have QA teams, dedicated designers, or product managers. We believe the best software is built by engineers who are empowered to own the entire journey. Here, you aren't just executing on a spec; you are the architect, the designer, and the guardian of your code. You will scope the solution, build the interface, and support the production systems that keep local governments running. If you thrive in ambiguity and find "hand-offs" more frustrating than fulfilling, you'll fit right in. If you prefer a neatly defined roadmap and a team to catch bugs before they ship, we're likely not the right place for you.
What You Will Work On
Examples of problems our AI engineers tackle:
  • Designing scalable RAG pipelines for government knowledge bases
  • Building conversation engines with memory, context, and state
  • Implementing LLM tooling and function-calling for system integration
  • Designing evaluation harnesses and datasets for AI feature quality
  • Preventing hallucinations and improving grounded response generation
  • Scaling AI features across hundreds of government environments

Tech Stack
  • Backend: Python
  • Data: PostgreSQL
  • AI Systems: LLMs, embeddings, vector retrieval, RAG pipelines
  • Infrastructure: AWS, Docker
  • Developer Tools: GitHub, Linear, Claude Code, Cursor, CI/CD, automated testing

We understand that engineers may not be an expert in all of these technologies day one. We value engineers with a growth and learning mindset.
Your Role
  • Build and evolve our Conversation Engine: powering pre-drafted email, chat, and voice responses, including conversation state, memory, and high-quality response generation.
  • Own the RAG pipeline end-to-end: document ingestion, chunking strategies, embeddings, indexing, retrieval (hybrid/vector), reranking, and grounded response generation.
  • Implement AI Tooling / function calling: connect LLM workflows to internal systems (e.g., account lookup, case context retrieval, knowledge base queries) with strong validation and safe execution patterns.
  • Design evaluation and quality systems for AI features: offline eval harnesses, golden datasets, human feedback loops, monitoring for hallucinations/grounding, and regression prevention.
  • Collaborate with cross-functional teams to define, design, and ship new features.
  • Work closely with business stakeholders and customers to translate requirements into technical specifications and documentation.
  • Mentor and support engineering team members, promoting team efficiency and growth.
  • Troubleshoot and debug complex issues, ensuring timely resolution and platform stability.
  • Optimize application performance, reliability, and scalability, and uphold high standards for clean, maintainable code.
  • Identify and proactively address technical debt and performance bottlenecks to drive iterative product improvement.

What We're Looking For
  • 2+ years of experience building production software, with strong proficiency in Python programming
  • 2+ years of experience working with and optimizing relational databases (e.g., SQL, PostgreSQL).
  • Experience with cloud infrastructure (AWS or similar)
  • Proven experience working with Large Language Models (LLMs) and building production-ready RAG pipelines.
  • Strong proficiency in API design, data modeling, relational database design, and testing methodologies.
  • Proficiency with modern DevOps practices: version control (Git), containerization (Docker), CI/CD (GitHub Actions), and automated testing frameworks.

Most importantly, we look for engineers who:
  • Care about building reliable AI systems in production
  • Enjoy working on complex real-world problems
  • Take ownership of systems from ideation to deployment

Benefits
  • Competitive compensation and stock equity plan
  • Comprehensive benefits package that includes medical, dental, vision, and life insurance
  • Company sponsored pre-tax retirement savings program (401k)
  • A flexible work environment that supports working from home
  • Flexible PTO
  • Parental Leave
  • Home office stipend