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Python Ai Jobs in Oregon (NOW HIRING)

Smarsh

Senior Software Engineer, Python + AI Platform

OR · On-site +1

$121K - $163K/yr

You will build fast-moving, early-stage Python services that integrate AI capabilities into a production agentic platform. Your scope spans workflow execution, scale, reliability, and platform ...

New

Chainguard

Software Engineer (Libraries Platform)

OR · On-site +1

Provides shared services across language ecosystems (Java, JavaScript, Python/AI/ML and beyond) What you'll do: * Lead the design and implementation of core components of the Libraries Platform ...

Intel

Senior AI Solution Architect

Hillsboro, OR · On-site

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

Programming: Expert-level Python. * AI/ML Frameworks: Experience with vLLM, PyTorch, TensorFlow, OpenMPI * System Tools: Linux/Unix administration, Docker, shell scripting. * Hardware: Deep ...

Intel Corporation

Senior AI Solution Architect

Hillsboro, OR · On-site

$170K - $315K/yr

  • Medical

  • Retirement

  • PTO

Programming: Expert-level Python. * AI/ML Frameworks: Experience with vLLM, PyTorch, TensorFlow, OpenMPI * System Tools: Linux/Unix administration, Docker, shell scripting. * Hardware: Deep ...

Varsity Tutors

Python Tutor

Eugene, OR · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Python Tutor

Portland, OR · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Varsity Tutors

Python Tutor

OR · Remote

$18 - $40/hr

... online Python tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

EM Key Solutions Inc

AI Engineer

OR · On-site +1

Strong programming experience with Python. * Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.

EM Key Solutions Inc

Temporary AI Engineer

OR · On-site +1

Strong programming experience with Python. * Experience with Azure OpenAI, OpenAI APIs, or similar LLM platforms. * Experience with LangChain, LlamaIndex, Semantic Kernel, or comparable AI frameworks.

Netflix

Software Engineer L5, Python Platform

OR · On-site +1

$388K - $619K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Python is one of the top three languages used at Netflix, critical to our machine learning, data ... AI fluency. Nice to Haves Experience with inference-serving frameworks (e.g. Triton, LitServe, Ray ...

micro1 AI

AI Training Specialist - Physics

Eugene, OR · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

micro1 AI

AI Training Specialist - Physics

Salem, OR · On-site +1

$80 - $150/hr

No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work ... Utilize LaTeX, SymPy, Python, and Jupyter to independently verify or counter-check scientific ...

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All JobsPython Ai JobsPython Ai Jobs in Oregon

Python Ai information

See Oregon salary details

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How much do python ai jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python ai in Oregon is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.38 per hour, depending on experience, location, and employer.

What is a Python AI?

A Python AI job involves developing, implementing, and optimizing artificial intelligence models using Python. Professionals in this role work with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn to build automation, predictive analytics, and AI-driven solutions. Responsibilities may include data preprocessing, model training, fine-tuning algorithms, and deploying AI models into production. These roles are common in industries like healthcare, finance, and tech, where AI is used for tasks such as natural language processing, computer vision, and recommendation systems.

What does a Python AI do?

As a Python AI professional, your day-to-day responsibilities usually involve designing, developing, and testing machine learning models, cleaning and analyzing data, and implementing data pipelines. You’ll likely collaborate closely with data scientists, software engineers, and product managers to integrate AI solutions into real-world applications. Regular tasks also include code review, documentation, and participating in team meetings to review progress and brainstorm solutions to technical challenges. These activities not only foster collaboration but also ensure high-quality, scalable AI products.

What skills and qualifications are needed for a Python AI?

To thrive as a Python AI professional, you need strong programming skills in Python, a solid understanding of machine learning algorithms, data structures, and often a degree in computer science or a related field. Proficiency with libraries like TensorFlow, PyTorch, scikit-learn, and experience using version control systems such as Git are typically required, while certifications in AI or data science can be advantageous. Analytical thinking, problem-solving abilities, and effective communication skills help you interpret results and collaborate with multidisciplinary teams. These competencies enable the development, deployment, and optimization of AI-driven solutions in a fast-evolving technical landscape.

Can you do AI with Python?

Python AI refers to roles involving the development and implementation of artificial intelligence using Python programming. These jobs typically require knowledge of machine learning libraries like TensorFlow or PyTorch, data analysis skills, and experience with algorithms. Python's simplicity and extensive ecosystem make it a popular choice for AI development in various industries.

What are the most commonly searched types of Python Ai jobs in Oregon?

The most popular types of Python Ai jobs in Oregon are:

What are popular job titles related to Python Ai jobs in Oregon?

For Python Ai jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Python Ai jobs in Oregon look for?

The top searched job categories for Python Ai jobs in Oregon are:

Python Ai jobs near you
Infographic showing various Python Ai job openings in Oregon as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $128,917 per year, or $62 per hour.

Senior Software Engineer, Python + AI Platform

Smarsh

OR • On-site, Remote

$121K - $163K/yr

Full-time

Posted 2 days ago

New

Job description

Who are we?

Smarsh empowers its customers to manage risk and unleash intelligence in their digital communications. Our growing community of over 6500 organizations in regulated industries counts on Smarsh every day to help them spot compliance, legal or reputational risks in 80+ communication channels before those risks become regulatory fines or headlines.  Relentless innovation has fueled our journey to consistent leadership recognition from analysts like Gartner and Forrester, and our sustained, aggressive growth has landed Smarsh in the annual Inc. 5000 list of fastest-growing American companies since 2008.

Smarsh is hiring a senior backend/platform engineer to build and scale agentic AI systems for enterprise use. You will build fast-moving, early-stage Python services that integrate AI capabilities into a production agentic platform. Your scope spans workflow execution, scale, reliability, and platform hardening as we grow.

This is not a generic backend role. The focus is building and designing agentic systems, shipping working software, and solving hard platform problems in a fast-moving AI-native environment. You will join a small, high-velocity cross-functional group and own problems end to end, designing and building from scratch, making fast architectural calls, and driving ideas from whiteboard to working system with a small, high-agency team.

What will you do?
  • Drive backend development for AI workflows as part of a collaborative team. Build and evolve Python/FastAPI services powering core agentic workflows and platform capabilities.
  • Productionize LLM integrations. Implement systems around Bedrock usage, quotas, retries, failover, cost controls, model configuration, and approval constraints.
  • Design for security and compliance. Address customer data handling, tenant isolation, auditability, observability, and secure processing for regulated workloads. Apply auditable data design patterns to ensure AI outputs are traceable, reproducible, and built to withstand regulatory scrutiny.
  • Build for scale. We're a nimble team, but our enterprise customers process data at petabyte scale. Help the platform grow to meet that bar through async job orchestration, performance tuning, and data-layer optimization.
  • Support multi-tenant architecture. Contribute to tenant-aware services, role-based access, SSO integration, and admin/reporting capabilities.
  • Improve platform reliability. Add monitoring, tracing, alerting, and operational tooling for LLM pipelines, workflow execution, and report generation.
  • Build real-time capabilities. Design and implement real-time event delivery and pub/sub patterns to support live workflow state, notifications, and agent feedback loops.
  • Contribute to technical decisions. Partner on shared services decisions, platform architecture, and integration boundaries across the stack.
  • Work across ambiguity. Translate evolving product requirements and non-functional requirements into practical technical solutions with product, architecture, legal, and security stakeholders.
  • Champion code quality. Drive strong typing, automated testing, and continuous integration practices that keep the team fast and safe.
  • Design typed API contracts. Own the API surface as a product contract: designing clean, schema-driven APIs that support typed client generation and reliable integration across services.

What will you bring?
  • Strong Python backend engineering. 7+ years professional software development, including 5+ years building Python services in production. Deep experience with APIs, async processing, background jobs, and workflow orchestration.
  • Cloud-native backend experience. AWS experience, ideally with services relevant to secure enterprise workloads (compute, storage, networking, CI/CD, identity, secrets, encryption).
  • Production distributed systems. Proven ability to productionize complex backend systems with reliability, observability, retries, throughput, failure handling, and performance tuning.
  • Data-intensive system design. Strong knowledge of PostgreSQL, large-scale data processing patterns, indexing, query tuning, and batch/stream tradeoffs. Experience with retrieval-augmented generation (RAG), vector search, and embedding-based systems is required (not a plus).
  • Security and compliance mindset. Experience with multi-tenant systems, RBAC, audit logging, secure data handling, and regulated environments.
  • Strong ambiguity handling. Ability to work from partial requirements and shape implementation around product and non-functional requirement constraints.
  • Agentic workflow engineering. Hands-on experience building LLM-driven workflows: tool-calling, state machines, human-in-the-loop approval patterns, checkpoint/resume, and multi-step agent orchestration. Familiarity with frameworks like LangGraph or equivalent.
  • AI-native engineering. Experience working on or alongside AI-native engineering teams, where AI agents are first-class participants in the development workflow, not just productivity tools. Includes hands-on prompt engineering, eval design, and LLM cost optimization: caching strategies, token efficiency, and model selection tradeoffs.
  • Product mindset. Bias for shipping, learning from real usage, and making pragmatic tradeoffs grounded in customer problems.
Strong Pluses
  • LLM / AI platform experience. Bedrock, OpenAI, Anthropic, LangChain/LangGraph, prompt workflows, evals, tool-calling systems. Experience integrating external AI services safely and reliably.
  • Identity and access. SSO/SAML/OIDC, enterprise auth patterns.
  • Graph-shaped data and entity resolution. Experience with graph-backed data models, entity deduplication, mention linking, and building systems that reason over connected, structured records.
  • Observability stack. OpenTelemetry, tracing, metrics, alerting, cost/usage dashboards.
  • Regulated communications or compliance domain. Background in systems that handle sensitive communications, audit trails, or data subject to legal or regulatory review is a meaningful differentiator.
  • Infrastructure as code. Terraform, feature flags, canary deployments, release strategies.
$195,000 - $260,000 a year
The salary range above represents Smarsh's good faith and reasonable estimate of the range of possible base compensation at the time of posting. Any applicable bonus programs will be discussed during the recruiting process.
 
The salary for this role will be set based on a variety of factors, including but not limited to, internal equity, experience, education, location, specialty and training.
 
Local cost of living assessments are done for each new hire at the time of offer.
About our culture

Smarsh hires lifelong learners with a passion for innovating with purpose, humility and humor. Collaboration is at the heart of everything we do. We work closely with the most popular communications platforms and the world's leading cloud infrastructure platforms. We use the latest in AI/ML technology to help our customers break new ground at scale. We are a global organization that values diversity, and we believe that providing opportunities for everyone to be their authentic self is key to our success. Smarsh leadership, culture, and commitment to developing our people have all garnered Comparably.com Best Places to Work Awards. Come join us and find out what the best work of your career looks like.
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