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Professional Llm Developer Jobs in Oregon (NOW HIRING)

Integrate AI services and capabilities into applications, including LLM APIs, AI agents ... Five (5) or more years of professional software engineering experience after completing your ...

Job Summary We are looking for a commercially driven Director of AI Professional Services to lead ... Fluency in LLM application patterns: RAG, agents, fine-tuning, prompt engineering, and tool use

Staff Software Engineer, Applied AI

OR · Remote

$200K - $240K/yr

Design and build agentic LLM pipelines that power AI features across the product. * Build full ... Requirements * 5+ years of professional software engineering experience * Experience working in a ...

Stay current with LLM developments, prompt engineering research, and the evolving Five9 AQM product ... Experience working in a customer-facing or professional services environment. BA/BS or equivalent ...

DevRel

OR · On-site +1

$180/hr

... AI/developer community (YouTube, X, newsletter, podcast) * Experience with LLM evaluation ... Opportunities for professional growth and development. * A collaborative and innovative work ...

OR

$104K - $143K/yr

Architect, deliver, and optimize production-grade LLM services, agent workflows, orchestration ... An advanced degree is preferred. * 8-10+ years of professional experience in Software Engineering ...

OR · On-site

A strong systems and engineering orientation. You are comfortable with APIs, integrations, data pipelines, LLM-based tooling, and support platform configuration. * Experience supporting a technical ...

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... professional software engineering experience; with experience building or operating AI and ML ...

New

OR

$104K - $143K/yr

Develop and extend production services in Python (FastAPI) and pydantic.ai for LLM-powered ... professional software engineering experience; with experience building or operating AI and ML ...

We're looking for someone who has seen what "good" looks like in a Professional Services ... You actively use AI tools (e.g., coding assistants, LLM-powered workflows, automation) in your own ...

OR

$57.50 - $77.25/hr

... group of professionals who are passionate about making a difference. The Software Engineer III - ... Hands-on experience with agentic LLM architectures - tool calling, multi-agent orchestration ...

OR · Hybrid

... professional experience in data science, data engineering, coding, business understanding and ... Design, develop and deploy LLM-based solutions (RAG, embeddings, instruction tuning) for claims ...

Senior Prompt Designer II

OR · Remote

$101K - $108K/yr

What you'll need * 8+ years of professional experience with AI/ML systems, language technologies, or software product engineering. * 4-5 years in prompt design or LLM product development, with a ...

Company Overview By Light Professional IT Services LLC readies warfighters and federal agencies ... Advanced knowledge and experience in one or more current programming languages (e.g., Java ...

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Professional Llm Developer information

What are Professional LLM Developers?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

What are the key skills and qualifications needed to thrive as a Professional LLM Developer, and why are they important?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by Professional LLM Developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.
What are the most commonly searched types of Llm Developer jobs in Oregon? The most popular types of Llm Developer jobs in Oregon are:
What are popular job titles related to Professional Llm Developer jobs in Oregon? For Professional Llm Developer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Professional Llm Developer jobs in Oregon look for? The top searched job categories for Professional Llm Developer jobs in Oregon are:
What cities in Oregon are hiring for Professional Llm Developer jobs? Cities in Oregon with the most Professional Llm Developer job openings:

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 14 hours ago


Job description

AllOne Health is in the business of care; and service is what matters most.

As a leader in workplace behavioral health, we’ve proven that a company’s success is directly linked to the health and well-being of their employees.

By joining our team, you will make a difference in the lives of our clients and their communities. The meaningful work that we do includes counseling, providing work-life resources, wellness and more through our Employee Assistance Programs (EAP).

We are currently seeking an AI Full Stack Developer to work remotely. This is a full-time, exempt position.

POSITION SUMMARY:

The AIEnabled Full Stack Developer plays a critical role in designing, developing, and maintaining scalable, secure, and highquality applications while leveraging modern AI tools and platforms to accelerate delivery and improve application intelligence. This role is responsible for endtoend frontend and backend development and for integrating AIdriven capabilities such as intelligent automation, AI agents, and large language model (LLM) services into enterprise applications.

This position requires a strong foundation in full stack development combined with handson experience using AIassisted coding tools, AI APIs, and emerging AI enablement frameworks. The developer collaborates closely with crossfunctional teams to deliver innovative, maintainable, and performant solutions that align with business objectives.

KEY ACCOUNTABILITIES & DUTIES:

  • FrontEnd Development:
    Design and develop responsive, userfriendly web interfaces using HTML, CSS, JavaScript, and modern frameworks such as React or Angular.
  • BackEnd Development:
    Build and maintain serverside logic, APIs, and services using technologies such as Node.js, Express, and supporting frameworks, ensuring scalability and reliability.
  • AIEnabled Application Development:
    Integrate AI services and capabilities into applications, including LLM APIs, AI agents, intelligent search, summarization, recommendations, and workflow automation. Prototype quickly, then harden solutions for production with monitoring, logging, evaluation, and performance optimization.
  • AIAssisted Coding & Tooling:
    Leverage AI coding tools (e.g., copilots, code generation, refactoring, and test generation tools) to improve development speed, code quality, and maintainability. Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, access control, and output validation.
  • System Integration:
    Seamlessly integrate frontend, backend, AI services, and thirdparty systems to deliver cohesive and performant user experiences.
  • Testing & Quality Assurance:
    Write, execute, and maintain automated tests, including unit, integration, and AIassisted test generation, to ensure application stability and reliability.
  • Maintenance & Optimization:
    Maintain and enhance existing applications, optimizing performance, security, and scalability while incorporating AIdriven improvements where appropriate.
  • Security & Compliance:
    Apply secure coding practices, understand SecDevOps principles, and ensure compliance with data privacy and security standards, particularly when working with AI and datadriven features. Partner with security and compliance teams to ensure responsible AI usage, data privacy, and governance.
  • Collaboration:
    Work closely with product owners, designers, architects, and other developers to deliver solutions aligned with business requirements and technical standards.
  • Documentation:
    Produce clear documentation for codebases, APIs, AI integrations, and development processes to support maintainability and knowledge sharing.
  • Continuous Improvement:
    Stay current with emerging AI technologies, frameworks, and development practices, and recommend practical adoption opportunities to enhance the development lifecycle. Mentor and upskill existing developers on AI concepts, patterns, and best practices.

What this role is:

We are looking for a senior full-stack developer with hands-on production AI experience to design, build, and maintain AI-augmented features in our healthcare technology stack. You will work on services that integrate large-language-model APIs into clinical and administrative workflows, with HIPAA-aware data handling at every step.

 You will write code in React/TypeScript on the frontend, Node.js/Express on the backend, and target Microsoft Azure. You will own production reliability and will be on call for the systems you ship.

    QUALIFICATIONS:

    • Five (5) or more years of professional software engineering experience after completing your bachelor's degree. Internships and co-ops do not count toward this minimum.
    • Production experience shipping React/TypeScript frontends. We will ask you to walk through a specific PR you wrote in your last role.
    • Production experience shipping Node.js/Express backends. We will ask you about middleware, error handling, and graceful degradation.
    • Production experience integrating an LLM API (Anthropic Claude, Azure OpenAI, OpenAI direct, or equivalent) into a real system that real users used. You should be able to describe the rate limit, the failure modes, and the fallback strategy you used.
    • Prototype quickly, then harden for production: monitoring, logging, evaluation, and performance optimization.
    • Implement guardrails for AI systems including prompt safety, data protection, hallucination mitigation, and output validation.
    • Write and maintain automated tests including unit, integration, and AI-assisted test generation.
    • Comfort with Microsoft Azure deployment (Azure App Service, Azure Functions, or Azure Kubernetes Service) OR comparable experience with another major cloud provider with a stated willingness to ramp on Azure within the first 90 days.
    • Comfort with relational databases (MySQL, Microsoft SQL Server, PostgreSQL, or equivalent). You will own SQL queries that a real clinician depends on; you should know what an execution plan is and when to look at one.
    • Apply secure coding practices and DevSecOps principles throughout the development lifecycle.
    • Partner with security and compliance on responsible AI usage, PHI data governance, HIPAA requirements, and the practical implications of healthcare data handling.
    • Produce clear documentation for codebases, APIs, and AI integrations.
    • Work closely with product owners, designers, and architects to translate business requirements into technical solutions.
    • Stay current with emerging AI technologies and recommend practical adoption opportunities.
    • US-based, currently authorized to work in the US without employer-sponsored work authorization (now or in the future). This role does not offer H-1B, OPT, or other employer-sponsored work visas.

    Strongly preferred

    • Direct experience with Anthropic's Claude API (Messages API, tool use, prompt caching) or Azure OpenAI Service.
    • Experience building AI agent workflows, multi-agent orchestration, or tool-calling systems.
    • Experience with Model Context Protocol (MCP) servers, Claude Code, or agentic coding tools as part of your own development practice.
    • Behavioral health, mental health, or employee assistance program domain knowledge.
    • Prior healthcare experience with PHI handling, HITRUST certification work, or HITECH compliance.
    • Mobile experience (iOS/Android via React Native, native Swift/Kotlin, or comparable).
    • Prior on-call rotation experience for a HIPAA-regulated production service.

    Company Perks: 

    • We don’t want you to wait - Immediate medical (Blue Cross/Blue Shield), dental, and vision insurance is available
    • Self-Care is a top priority – We offer desirable work schedules and a generous amount of Paid Time Off
    • Thinking about your future? – We have a 401(k) retirement program with a company match
    • Of course, we know that life happens - Employee Assistance Program (EAP) benefits are available to you and your family
    • …and many more!