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Ai Full Stack Developer Jobs in Beaverton, OR (NOW HIRING)

Boomerang Healthcare

AI Full Stack Developer

Portland, OR · On-site

$125K - $165K/yr

The AI Fullstack Developer designs, builds, and iterates on internal AI-powered applications using ... Own the full stack: Retool application, Python backend API, and LLM integration layer. First-year ...

Intel

AI Full Stack Engineer

Hillsboro, OR · On-site

DeveloperEngagement : Build andmaintaintrustedrelationships with AI developers, full ... Developer Advocacy :Serveas the voice of developers within Intelby sharing feedback ...

GARGI TECHNOLOGIES INC

Java Full Stack developer

Phoenix, AZ · On-site

$52.25 - $67.25/hr

Java Full Stack Developer United States (On-site) Location: Full-time Job Type: Job Summary We are seeking a skilled and motivated Java Full Stack Developer to design, develop, and maintain high ...

InterSources Inc

Java Full stack Developer

Beaverton, OR · On-site

$55.25 - $71.50/hr

InterSources Inc is seeking a Java Full Stack Developer. The role requires extensive experience in ... InterSources Inc. solves operational problems where protection, performance, compliance, AI, and ...

Deloitte

Cyber Full Stack Manager

Portland, OR · On-site

Our work brings together digital trust, online protection, privacy, AI governance, identity, data protection, cybersecurity, and regulatory compliance capabilities. The Full Stack Engineer team is a ...

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All JobsAi Full Stack Developer JobsAi Full Stack Developer Jobs in Beaverton, OR

Ai Full Stack Developer information

See Beaverton, OR salary details

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$61

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How much do ai full stack developer jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for ai full stack developer in Beaverton, OR is $61.66, according to ZipRecruiter salary data. Most workers in this role earn between $51.25 and $71.01 per hour, depending on experience, location, and employer.

What is the difference between Ai Full Stack Developer vs Data Scientist?

AspectAi Full Stack DeveloperData Scientist
Required CredentialsBachelor's in CS, Software Engineering, or related; knowledge of AI frameworksBachelor's or higher in Data Science, Statistics, or related; proficiency in data analysis tools
Work EnvironmentDevelops AI applications, integrates front-end and back-end AI solutionsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve AI, an Ai Full Stack Developer focuses on building and integrating AI-powered applications across the full software stack, whereas a Data Scientist primarily analyzes data and develops models to extract insights. The roles often overlap in AI projects but serve different core functions.

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For Ai Full Stack Developer jobs in Beaverton, OR, the most frequently searched job titles are:

What job categories do people searching Ai Full Stack Developer jobs in Beaverton, OR look for?

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Ai Full Stack Developer jobs near you
Infographic showing various Ai Full Stack Developer job openings in Beaverton, OR as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 70% Physical, 4% Hybrid, and 26% Remote job distribution, with an average salary of $130,002 per year, or $62.5 per hour.

AI Full Stack Developer

Portland, OR • On-site

Boomerang Healthcare
Health Care and Social Assistance • 201 - 500 employees
Learn more about Boomerang Healthcareexternal

$125K - $165K/yr

Full-time

Posted 27 days ago

Key responsibilities

  • Design, build, and maintain internal AI-powered tools on Retool, including full stack development of applications, APIs, and LLM integration.

  • Author, test, and maintain prompts for LLM use cases such as denial review, authorization summarization, and clinical documentation assistance.

  • Connect internal tools to data sources like Snowflake, APIs, and operational data feeds, ensuring secure and efficient data access.

Job description



BHC has defined its AI use case priorities, chosen its LLM platform, and built the data foundation. What it needs now is someone to turn those ingredients into tools that actually get used — by the RCM coordinator triaging a denial, the billing lead reviewing an authorization, or the clinical ops team managing a workflow exception. The AI Fullstack Developer designs, builds, and iterates on internal AI-powered applications using Retool as the primary delivery platform and enterprise LLM APIs (Claude Enterprise, AWS Bedrock, or equivalent) as the intelligence layer. This is a senior individual contributor role reporting to the Director of Data & AI, with direct daily exposure to every operational workflow in the organization.  

 *This is a hybrid position


      What you will do: 


  • Internal AI tool delivery — Design, build, and maintain a suite of internal tools on Retool — from initial prototype to production deployment. Own the full stack: Retool application, Python backend API, and LLM integration layer. First-year focus is RCM, billing, and clinical operations workflows.
  • LLM prompt engineering & optimization — Author, test, version, and maintain prompts for BHC-specific use cases including denial review, authorization summarization, clinical documentation assistance, and RCM workflow triage. Own the prompt library and its evaluation framework.
  • Data layer integration — Connect internal tools to BHC’s Snowflake and dbt data layer, source system APIs (IMS and related), and operational data feeds. Know where the data lives, how to query it efficiently, and how to surface it safely inside a tool.
  • Application-layer PHI controls — Implement and maintain HIPAA-compliant data handling within the application layer: PHI masking, role-based access, audit logging, and data minimization patterns. Own application-level security in coordination with the Director and legal/compliance.
  • User experience for operational staff — Design interfaces for RCM coordinators, billing staff, and clinical ops users working under time pressure — not for engineers or analysts exploring dashboards. Understand what ‘usable’ means to someone processing 40 authorizations a day.
  • Iteration & adoption — Instrument tools for usage tracking, gather structured feedback from operational teams, and ship improvements regularly. Measure adoption and outcomes, not just deployment.
  • Documentation & tooling standards — Maintain clear documentation of APIs, prompt patterns, integration architecture, and reusable Retool components. Build the pattern library that makes the second tool faster to ship than the first.


    Qualifications: 

  • Strong Python development experience — REST API design and development (FastAPI preferred), async patterns, data validation, and production error handling.
  • Hands-on Retool experience at a production level — multi-step workflows, role-based access, API resource configuration, custom components, and Retool-native automation. Equivalent deep experience with a comparable low-code internal tooling platform considered.
  • Direct LLM API integration experience — prompt engineering, tool/function calling, RAG implementation, context window management, and response evaluation. Experience with Claude Enterprise, AWS Bedrock, OpenAI, or similar platforms.
  • Experience building HIPAA-compliant applications — PHI handling, audit logging, role-based access controls, and data minimization at the application layer. Understanding of what HIPAA requires at runtime, not just policy.
  • Practical SQL proficiency — able to query Snowflake or equivalent columnar stores; working familiarity with dbt models as data sources is a meaningful plus.
  • Ability to translate operational workflows into application requirements with minimal guidance — comfortable interviewing an RCM coordinator, identifying the actual pain point, and building against it rather than against a spec.
  • Healthcare, RCM, or billing domain experience is preferred. Exceptionally strong technical candidates without healthcare background will be considered if they demonstrate fast domain ramp.


Compensation Range: 

$125,000 - $160,000 Annually

All compensation ranges are posted based on internal equity, job requirements, experience, and geographical locations.


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