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Ai Chatbot Developer Jobs in Oregon (NOW HIRING)

LTS

Senior Applied AI Engineer

OR · Remote

$122K - $161K/yr

This is not another chatbot. Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work. What You'll Do: Advance Applied AI ...

LTS

Senior AI Identity Platform Engineer

OR · Remote

$104K - $143K/yr

This is not another chatbot. Using LLMs, AI agents, secure identity architectures, and AI-assisted development is simply how we engineer. What You'll Do: Design AI Identity Architecture * Design ...

LTS

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

This is not another chatbot. Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work. What You'll Do: Build Intelligent Agentic ...

LTS

Senior Front-End Agentic AI Engineer

OR · Remote

$122K - $168K/yr

This is not another chatbot. Using AI agents, LLMs, parallel workflows, and model-assisted development is simply how we engineer. What You'll Do: * Own the end-to-end front-end experience for an ...

Genpact

$63 - $83/hr

... engineering and AI inside core enterprise systems, so experiences don't just look better, they ... and chatbot/agent integration for customer self-service. * Fluency in emerging "agentic" AI ...

Human Interest

OR · On-site

$126K - $166K/yr

Demonstrated, hands-on use of AI tools to build and transform how you work, not just as a chatbot ... You have partnered closely with engineers on complex systems at scale, can self-sufficiently root ...

All JobsAi Chatbot Developer JobsAi Chatbot Developer Jobs in Oregon

Ai Chatbot Developer information

See Oregon salary details

$78.8K

$99.1K

$133.7K

How much do ai chatbot developer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for ai chatbot developer in Oregon is $99,120.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,600.00 and $100,400.00 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.
What cities in Oregon are hiring for Ai Chatbot Developer jobs? Cities in Oregon with the most Ai Chatbot Developer job openings:
Ai Chatbot Developer jobs near you
Infographic showing various Ai Chatbot Developer job openings in Oregon 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 $99,120 per year, or $47.7 per hour.

Senior Applied AI Engineer

LTS

OR • Remote

$122K - $161K/yr

Full-time

Posted 8 days ago

Job description

Location: United States - Remote
Clearance: Ability to obtain and maintain a Public Trust

LTS is seeking a highly skilled Senior Applied AI Engineer to focus on continuously improving the intelligence behind the platform. You'll experiment with models, optimize retrieval strategies, refine agent reasoning, evaluate AI performance, and transform emerging AI capabilities into production-ready solutions.

The Agentic AI platform is designed to help engineers understand, analyze, and modernize one of the most consequential legacy software systems still operating today.

Our platform enables engineers to ask questions in plain English and receive explainable, verifiable answers traced directly back to decades of production source code. Rather than replacing engineers, we're building AI that accelerates engineering through transparency, traceability, and intelligent reasoning.

We're building an AI-native engineering platform supporting the modernization of mission-critical healthcare systems serving millions of Veterans nationwide.

The platform is designed for deployment across federal enterprise environments and is being engineered to align with FedRAMP security controls, Zero Trust principles, and federal compliance requirements.

The platform has executive sponsorship, committed users, and a customer investing in long-term modernization. Our engineering team is intentionally small giving every engineer meaningful ownership, and direct influence over product direction.

We don't simply build AI-powered software-we build software with AI. This is not another chatbot.

Using LLMs, autonomous agents, AI-assisted development, parallel workflows, and model-driven engineering is simply how we work.

What You'll Do:

Advance Applied AI Capabilities

  • Design, prototype, and implement production-ready AI capabilities that improve reasoning, accuracy, explainability, and developer productivity.
  • Evaluate emerging LLMs, multimodal models, agent frameworks, and AI techniques to identify opportunities for platform advancement.
  • Rapidly prototype new AI capabilities and transition successful experiments into production.

Optimize Agent Performance

  • Improve autonomous and multi-agent workflows through prompt engineering, reasoning optimization, memory strategies, tool selection, and context management.
  • Continuously refine Retrieval-Augmented Generation (RAG) pipelines, retrieval strategies, embeddings, reranking, and grounding techniques.
  • Improve AI response quality through experimentation, benchmarking, and iterative optimization.

Evaluate AI Systems

  • Develop evaluation frameworks that measure accuracy, groundedness, explainability, latency, and overall AI effectiveness.
  • Build benchmark datasets, automated evaluation pipelines, and performance metrics for production AI systems.
  • Analyze AI failures, hallucinations, retrieval gaps, and reasoning errors to drive continuous improvement.

Knowledge Engineer

  • Collaborate with software engineers to improve knowledge ingestion, document processing, semantic search, embeddings, and enterprise knowledge management.
  • Design approaches that maximize retrieval quality across large technical documentation and source code repositories.
  • Improve how AI agents discover, organize, and reason over enterprise knowledge.

Collaborate Across Engineer

  • Partner closely with AI architects, platform engineers, software engineers, and front-end engineers to improve the overall intelligence of the platform.
  • Share research findings, experimental results, and engineering recommendations with cross-functional teams.
  • Help establish best practices for experimentation, evaluation, and AI quality throughout the organization.

What We're Looking For:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, Engineering, Data Science, or a related technical discipline (or equivalent professional experience).
  • 5+ years of software engineering, applied AI, machine learning, or AI systems development experience.
  • Demonstrated experience developing production AI applications powered by Large Language Models (LLMs).
  • Experience designing and optimizing Retrieval-Augmented Generation (RAG) systems.
  • Experience with prompt engineering, embeddings, semantic search, vector databases, and knowledge retrieval.
  • Experience evaluating AI model performance and implementing experimentation frameworks.
  • Strong programming skills in Python and experience with modern software engineering practices.
  • Experience with AI frameworks such as LangGraph, LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar.
  • Experience with using AI coding assistants as part of your daily workflow.
  • Familiarity with REST APIs, cloud-native applications, and distributed software systems.
  • Strong analytical, problem-solving, and communication skills.
  • Intellect and curiosity for AI systems and how they behave.
  • Deep passion for experimenting with new AI techniques.
  • Background in evaluation, explainability, and continuous improvement.
  • Proven success with ownership of difficult technical challenges and collaboration across disciplines.

Nice to Have:

  • Experience optimizing autonomous or multi-agent AI systems.
  • Experience implementing automated AI evaluation frameworks.
  • Experience with OpenAI, Azure OpenAI, Anthropic Claude, Google Vertex AI, AWS Bedrock, or open-source LLMs.
  • Experience with vector databases including Pinecone, Weaviate, Qdrant, Milvus, or Azure AI Search.
  • Experience with Responsible AI, AI governance, safety, and explainability.
  • Familiarity with software engineering tools, code intelligence platforms, or developer productivity solutions.
  • Experience supporting healthcare, Federal Government, or other highly regulated environments.
  • Experience using AI coding assistants and autonomous agents as part of daily software development.

What's In It for You?

  • The Opportunity to support high-visibility federal missions
  • A culture that values innovation, growth, and collaboration
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

If you're ready to push boundaries, sharpen your skills, and join a team that is passionate about building what's next, we'd love to meet you. Apply today and let's build a future together!

Apply