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Ai Chatbot Developer Jobs in Seattle, WA (NOW HIRING)

Experience integrating LLM APIs or AI services into production applications * Automate key ... Design and develop middleware solutions for chatbot integration, including writing custom code ...

Manager, AI

Seatac, WA · On-site

$149K - $224K/yr

D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. * Experience in developing enterprise-level GenAI applications, including chatbot development ...

Manager, AI

Seattle, WA · On-site

$149K - $224K/yr

D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. * Experience in developing enterprise-level GenAI applications, including chatbot development ...

Manager, AI

Seatac, WA · On-site

$149K - $224K/yr

D. in AI, Data Science, Computer Science, Industrial Engineering, Statistics, or a related field. * Experience in developing enterprise-level GenAI applications, including chatbot development ...

We're rebuilding Amperity as an AI-first company-not bolting a chatbot onto old software, but ... Partner closely with Engineering and GTM to deliver world-class AI products at scale. * Influence ...

We're rebuilding Amperity as an AI-first company-not bolting a chatbot onto old software, but ... Partner closely with Engineering and GTM to deliver world-class AI products at scale. * Influence ...

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Showing results 1-20

Ai Chatbot Developer information

See Seattle, WA salary details

$84.8K

$106.7K

$144K

How much do ai chatbot developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai chatbot developer in Seattle, WA is $106,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $108,100.00 per year, depending on experience, location, and employer.

What are some common challenges AI Chatbot Developers face when integrating chatbots with existing business systems?

One of the main challenges Ai Chatbot Developers encounter is ensuring seamless integration of chatbots with existing business platforms such as CRM, databases, or helpdesk software. This often requires deep understanding of APIs, data privacy regulations, and company-specific workflows. Developers must also ensure that the chatbot can accurately process and respond to user queries while securely accessing and updating relevant information. Collaboration with IT and business operations teams is key to addressing compatibility and security concerns during integration.

What are the key skills and qualifications needed to thrive as an AI Chatbot Developer?

To thrive as an AI Chatbot Developer, you need strong programming skills (especially in Python or JavaScript), understanding of natural language processing (NLP), and a background in computer science or a related field. Familiarity with machine learning frameworks (like TensorFlow or PyTorch), chatbot platforms (such as Dialogflow or Microsoft Bot Framework), and relevant APIs or cloud services is essential. Creative problem-solving, effective communication, and adaptability are important soft skills for designing engaging user experiences and addressing evolving requirements. These skills ensure robust, intelligent chatbot solutions that deliver value through seamless user interactions and continuous improvement.

What does an AI Chatbot Developer do?

An AI Chatbot Developer designs, builds, and maintains intelligent conversational agents that can communicate with users through text or voice. They use artificial intelligence, natural language processing, and machine learning techniques to create chatbots capable of understanding and responding to user queries. Their responsibilities often include writing code, training chatbot models, integrating chatbots with various platforms, and improving bot performance based on user interactions.

How much do Ai Chatbot Developers make?

Ai Chatbot Developers typically earn a median annual salary ranging from $70,000 to $120,000, depending on experience, location, and skill level. Salaries can be higher for those with expertise in machine learning, natural language processing, and relevant programming languages like Python or Java. Entry-level positions may start lower, while senior developers or specialists can earn significantly more.

What is the difference between Ai Chatbot Developer vs AI Software Engineer?

AspectAi Chatbot DeveloperAI Software Engineer
CredentialsRelevant programming certifications, AI, NLP knowledgeComputer science degrees, AI certifications
Work EnvironmentDeveloping conversational interfaces, scripting, UI designBuilding AI models, algorithms, software systems
Industry UsageCustomer service, virtual assistants, chat platformsBroader AI applications across industries
Search/Comparison IntentFocus on chatbot-specific skills and toolsBroader AI development skills and projects

While both roles involve AI and programming, Ai Chatbot Developers specialize in creating conversational agents and chat interfaces, often focusing on NLP and UI design. AI Software Engineers work on developing a wide range of AI models and systems across various applications. The roles overlap in technical skills but differ in their primary focus and industry applications.

How to become an AI chatbot developer?

To become an AI chatbot developer, you should gain skills in programming languages such as Python or JavaScript, understand natural language processing (NLP) frameworks like TensorFlow or PyTorch, and learn how to design conversational interfaces. Building experience through projects, online courses, or certifications in AI and machine learning can also help establish expertise in developing effective chatbots.

Is Ai Chatbot Developer a good career?

Ai Chatbot Developer is a growing field that involves designing and implementing conversational AI systems using programming languages and machine learning techniques. It offers opportunities in technology companies, requires skills in natural language processing, and often involves continuous learning to keep up with evolving tools and frameworks. Overall, it can be a rewarding career for those interested in AI and software development.
Infographic showing various Ai Chatbot Developer job openings in Seattle, WA as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $106,688 per year, or $51.3 per hour.

Sr. Product Manager - Technical, Alexa for Shopping

Amazon

Seattle, WA • On-site

$190K - $219K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,066 frontline employees who took The Breakroom Quiz

6th of 39 rated national retailers


Job description

Ready to own the most economically critical surface in conversational commerce?
Alexa for Shopping drove billions in incremental sales last year, converts at 3.5x the rate of traditional keyword search, and was used by millions of customers. Shopping Actions - add to cart, checkout, purchase - is the economic engine that makes it all work.
This is not a "nice to have" feature team. This is core to economics

If customers can't buy, nothing else matters.
If you want to own the single most critical conversion surface in conversational commerce, keep reading.
Alexa Shopping is redefining how hundreds of millions of customers purchase products through conversational and multimodal experiences. The Shopping Actions team owns the core transactional layer - enabling customers to add to cart, checkout, and complete purchases seamlessly across Alexa-enabled surfaces (voice, screen, app, web).
We are looking for a tenured, technically strong PMT who is an AI-native builder. You will own the end-to-end Shopping Actions experience, driving product vision and execution while partnering across multiple engineering and science organizations

You'll leverage AI/ML tooling in your own workflows to move faster, analyze deeper, and ship products that delight customers leveraging conversational shopping AI.
You'll be joining a team with tenured Amazonian leadership - leaders who are technically deep, operationally excellent, and have a track record of growing their people. The leadership chain from your manager through the VP is composed of builders who understand the technology, can whiteboard architecture with you, and are invested in your career trajectory.
Key job responsibilities
Own product vision and roadmap for Shopping Actions (Add to Cart, Checkout, Purchase Completion) across voice, visual, and multimodal surfaces
Define, instrument, and self-serve metrics - build your own dashboards, write queries, and analyze data to drive decisions without waiting on analytics teams
Write crisp product requirements (PRFAQs, BRDs, tech specs) that unambiguously translate customer problems into engineering-ready solutions
Operate across organizational boundaries - influence and align engineering and science teams spanning multiple L10 organizations; earn trust and drive decisions without direct authority
Leverage AI as a force multiplier - use generative AI, automation, and modern tooling to accelerate research, analysis, spec writing, and operational workflows
Drive technical depth - go deep on API design, latency trade-offs, and system architecture to earn credibility with engineering partners
Own experimentation and iteration - design A/B tests, define success criteria, and rapidly iterate based on quantitative outcomes
Communicate strategy and progress to senior leadership through WBRs, MBRs, OP cycles, and ad-hoc reviews
A day in the life
The work you'll be contributing to is making headlines:
Amazon's AI assistant for personalized shopping - About Amazon
Amazon brings full visual shopping to Echo Show with Alexa+ - About Amazon
Amazon ditches Rufus AI chatbot in favor of Alexa shopping agent - CNBC
Amazon's AI shopping tech, now for any retailer - About Amazon / AWS
Amazon offers AI shopping tech to outside retailers - GeekWire


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US