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Backend Ai Engineer Jobs in Oregon (NOW HIRING)

Senior Software Engineer, Backend (AI Agent)

OR · On-site +1

$205K - $270K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models. * Collaborate with cross-functional teams including frontend engineers ...

$55.75 - $74.50/hr

  • Retirement

  • PTO

If you're a builder who's equally comfortable architecting a resilient Azure backend, wiring up an ... DevOps practices using Azure DevOps and/or GitHub Actions. • Comfort using AI-assisted ...

The Opportunity Grafana Labs is seeking a Staff Engineer (AI & Automation) to own the AI agent ... You'll build multi-agent architectures, LLM integrations, and backend services that connect AI ...

Strong software engineering skills with experience building integrations, APIs, automation, or backend systems * Experience working with AI systems, LLMs, AI agents, or agentic workflows * Experience ...

Senior Front-End Agentic AI Engineer

OR · On-site +1

$122K - $168K/yr

Experience collaborating closely with backend engineers, designers, and product teams in Agile ... Expertise using AI coding assistants, parallel agents, and model-driven development workflows.

... exciting AI integrations we lead with data-driven innovations that revolutionize healthcare ... What you will do As a Backend Engineer, you will be a key driver in building and scaling the ...

Software Engineer, Backend (Platform)

OR · On-site +1

$198K - $295K/yr

  • Medical

  • PTO

About the role We are looking for a Senior or Staff-level software engineer to join our Backend ... our AI agents. Our mission is twofold: to make the compute platform exceptionally easy to use ...

About the Role Intel'sClient Developer Groupis seekingan AI Developer Evangelistto help accelerate ... Experience with modern web application development, including front-end frameworks, back-end ...

AI Full Stack Engineer

Hillsboro, OR · On-site

  • Medical

  • Retirement

  • PTO

About the Role Intel's Client Developer Group is seeking an AI Developer Evangelist to help ... Experience with modern web application development, including front-end frameworks, back-end ...

Senior Agentic AI Software Engineer

OR · On-site +1

$122K - $161K/yr

Design and implement scalable backend services, APIs, and cloud-native applications supporting ... Partner closely with AI architects, platform engineers, front-end engineers, designers, and product ...

Staff Backend Software Engineer, On-prem

OR · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

As a Staff Backend Engineer on the Self-Hosted team, you will be tasked with building and ... AI is redefining how the world operates and rewriting the rules of security in real time, and ...

Identify and implement practical opportunities to embed AI into backend services and business ... Past experience serving as a Founding Engineer, Principal Architect, or early-stage platform lead ...

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Showing results 1-20

Backend Ai Engineer information

What is a Backend AI Engineer?

A Backend AI Engineer is a software engineer who specializes in building and maintaining the server-side infrastructure for artificial intelligence applications. Their work involves designing APIs, integrating machine learning models, managing databases, and ensuring efficient data flow between systems. They collaborate with data scientists and frontend developers to deploy AI models at scale and make them accessible through robust backend services. Key skills for this role include programming (often in Python, Java, or similar languages), cloud computing, and knowledge of AI frameworks.

What are the key skills and qualifications needed to thrive as a backend AI engineer?

To thrive as a Backend AI Engineer, you need strong programming skills (especially in Python or Java), a deep understanding of algorithms and data structures, and a background in computer science or related fields. Familiarity with AI/ML frameworks (like TensorFlow or PyTorch), RESTful APIs, databases, and cloud platforms is typically expected, along with relevant certifications. Exceptional problem-solving abilities, teamwork, and effective communication are soft skills that distinguish top performers. These competencies are crucial for designing robust, scalable AI solutions that integrate seamlessly with backend systems and drive innovation.

What are some common challenges backend AI engineers face when deploying machine learning models to production?

Backend AI Engineers often encounter challenges such as ensuring model scalability, maintaining low latency, and handling diverse data inputs during deployment. Integrating models into existing backend systems can also require careful consideration of APIs, security, and resource management. Additionally, monitoring model performance and updating models with new data are ongoing responsibilities that require close collaboration with data scientists, DevOps, and product teams.

What is the difference between Backend Ai Engineer vs Data Scientist?

AspectBackend Ai EngineerData Scientist
Required CredentialsBachelor's in CS, AI, or related field; knowledge of programming, AI frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops AI models, integrates AI into backend systems, collaborates with software teamsAnalyzes data, builds models, interprets data insights, collaborates with business teams
Industry UsageTech companies, AI startups, software firmsResearch institutions, tech companies, finance, healthcare
Common Search/ComparisonYesYes

While both roles involve working with AI and data, Backend Ai Engineers focus on integrating AI models into backend systems and developing scalable AI solutions. Data Scientists primarily analyze data, build predictive models, and generate insights. The roles often overlap in skills and tools but differ in their core focus—system integration versus data analysis.

What cities in Oregon are hiring for Backend Ai Engineer jobs?

Cities in Oregon with the most Backend Ai Engineer job openings:

Senior Software Engineer (Backend) - AI/ML

ClickHouse

OR • On-site, Remote

Full-time

Re-posted 18 days ago


Job description

About the team

The AI/ML Engineering team builds and operates ClickHouse's AI and machine learning products end-to-end. This includes the Agentic Data Stack, AI Functions, chDB, the in-Console copilot, and the AI/ML partnerships that distribute them - together with the shared components and expertise that let every other ClickHouse team ship AI in the surfaces they own. Our team is looking for highly skilled and experienced software engineers to join us, who will be responsible for designing, building, and operating the products that make ClickHouse the platform of choice for agents and data scientists.

What you will do
  • Feature Development: Design and implement AI-powered features across the full stack, from backend inference services to intuitive frontend interfaces within the ClickHouse Cloud platform.
  • API Architecture: Create robust, scalable APIs that connect ClickHouse's database capabilities with modern AI/ML inference systems and external/internal AI services.
  • Ecosystem Integrations: Implement and maintain integrations with the broader AI/ML ecosystem and standards, ensuring that ClickHouse as a technology works seamlessly with popular frameworks and tools.
  • Technical Integration: Integrate models into production systems with proper monitoring, versioning, observability, and evaluation.
  • Oncall: Participate in the daytime oncall rotation along with the rest of the team.
  • Developer Experience: Design and implement developer tools, SDKs, and documentation that enable users to leverage ClickHouse's AI/ML capabilities.
What you will bring along
  • 5+ years of software engineering experience in production environments
  • Exposure to working directly with AI/ML technologies
  • Backend development experience in TypeScript or Python, with a focus on API design and service architecture
  • A high level of ownership and can drive features from concept to production with minimal supervision
  • Ability to thrive in collaborative environments and can effectively communicate technical concepts to diverse stakeholders
  • Backend development experience in one of Python, Go, or TypeScript, with a focus on API design and service architecture

Nice to have

  • Experience integrating and deploying AI/ML models in production systems, including working with inference APIs and vector databases
  • Familiarity with cloud technologies such as AWS, Azure, or GCP, particularly services related to AI/ML deployment
  • Understanding of database systems and data processing pipelines, with ClickHouse experience being a significant plus

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