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Python Ai Developer Jobs in Beaverton, OR (NOW HIRING)

Fresh Consulting

Senior DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Deep curiosity for software, infrastructure, and applied AI -- particularly using LLMs as production engineering tools, not just chat assistants * Expert‑level Python (3.8+) with a strong grasp of ...

DataAnnotation

Programmer - AI Trainer

Portland, OR · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

DataAnnotation

Programmer - AI Trainer

Beaverton, OR · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

DataAnnotation

Programmer - AI Trainer

Vancouver, WA · On-site +1

$50 - $100/hr

Our platform offers an engaging blend of flexibility and challenge: you'll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging ...

tryrely.ai

Software Engineer

Portland, OR · Remote

We're looking to hire a mission driven, full-stack engineer that wants to make an immediate impact ... Strong skills in Python/Celery, React (Next.js) and Postgres * Proficient in AI workflows (LLMs ...

Fresh Consulting

Sr. DevOps Engineer

Portland, OR · On-site

$75 - $85/hr

Deep curiosity for software, infrastructure, and applied AI -- particularly using LLMs as production engineering tools, not just chat assistants * Expert-level Python (3.8+) with a strong grasp of ...

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All JobsPython Ai Developer JobsPython Ai Developer Jobs in Beaverton, OR

Python Ai Developer information

See Beaverton, OR salary details

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How much do python ai developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for python ai developer in Beaverton, OR is $60.99, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $69.28 per hour, depending on experience, location, and employer.

What does a Python AI Developer do?

A Python AI Developer designs, builds, and implements artificial intelligence applications using the Python programming language. Their work often involves developing machine learning models, processing large datasets, and integrating AI solutions into software products. They collaborate with data scientists, engineers, and stakeholders to solve complex problems and optimize AI algorithms for real-world use. Python AI Developers stay updated on the latest AI techniques and ensure their solutions are efficient, scalable, and maintainable.

What are the key skills and qualifications needed to thrive as a Python AI Developer?

To thrive as a Python AI Developer, you need strong programming skills in Python, a solid understanding of machine learning concepts, and a background in mathematics or computer science. Familiarity with frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, and experience with data processing tools are typically required. Analytical thinking, problem-solving abilities, and effective collaboration are crucial soft skills for this role. These competencies enable developers to design, implement, and optimize AI solutions that address complex real-world challenges efficiently.

How does a Python AI Developer typically collaborate with data scientists and other team members during an AI project?

Python AI Developers often work closely with data scientists, machine learning engineers, and product managers throughout the lifecycle of an AI project. They are responsible for implementing algorithms and models designed by data scientists, optimizing code for efficiency, and integrating AI solutions into production environments. Regular communication and code reviews ensure alignment on objectives and technical standards, while agile practices like daily stand-ups facilitate cross-functional collaboration. Being open to feedback and adaptable to changing project requirements is key to success in this role.

How to become a Python AI developer?

To become a Python AI developer, you should gain proficiency in Python programming, understand machine learning and deep learning concepts, and work with frameworks like TensorFlow or PyTorch. Building a strong foundation in mathematics, such as linear algebra and statistics, and gaining experience through projects or certifications can enhance your skills. Familiarity with data handling, algorithms, and software development practices is also essential.

What is the salary of a Python AI developer?

The salary of a Python AI developer typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Skilled developers with expertise in machine learning frameworks and data analysis tools tend to earn higher salaries.

What are popular job titles related to Python Ai Developer jobs in Beaverton, OR?

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

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

The top searched job categories for Python Ai Developer jobs in Beaverton, OR are:

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Cities near Beaverton, OR with the most Python Ai Developer job openings:

Python Ai Developer jobs near you
Infographic showing various Python Ai Developer job openings in Beaverton, OR 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 $128,752 per year, or $61.9 per hour.

Senior DevOps Engineer

Portland, OR • On-site

Fresh Consulting
Business Management Consulting • 201 - 500 employees
Learn more about Fresh Consultingexternal

$75 - $85/hr

Other

Posted 7 days ago

Job description

Fresh has partnered with an AI Manufacturing software company, we’re seeking an experienced senior development operations (DevOps) engineer to own the build, test, and deployment pipeline for our distributed computer vision platform running at edge sites across customer manufacturing floors. This is a full‑time position working directly with our engineering team to harden our release process, drive deployment automation, and pioneer LLM‑driven test generation and validation.

What You’ll Do
  • Own and evolve the end-to-end release pipeline — branching strategy, build orchestration, artifact promotion, and rollback — across our Bazel monorepo and Python deployable units
  • Design and maintain Ansible‑driven fleet automation for heterogeneous Linux edge nodes (Ubuntu LTS, NVIDIA driver stacks, Docker with NVIDIA runtime)
  • Manage all update tooling, currently written in Golang
  • Build LLM‑powered automated testing systems: test generation from specs, flake triage, log/failure analysis, regression diffing, and release‑note synthesis from commit and ticket history
  • Harden CI/CD for offline and bandwidth‑constrained deployment targets (airgap wheel distribution, signed artifacts, deterministic builds)
  • Drive observability for releases — deployment telemetry, version drift detection, and post‑deploy health validation across the fleet
  • Mentor engineers on release hygiene, reproducible builds, and infrastructure‑as‑code practices
What We’re Looking For
  • 10+ years of professional experience in release engineering, DevOps, or SRE roles shipping production Linux systems
  • Deep curiosity for software, infrastructure, and applied AI — particularly using LLMs as production engineering tools, not just chat assistants
  • Expert‑level Python (3.8+) with a strong grasp of packaging, dependency resolution, and PEP 440 versioning discipline
  • Demonstrated ownership of Linux fleets at scale — kernel, systemd, networking, package management
  • Excellence in technical communication, runbook authorship, and post‑incident documentation
  • Strong systems thinking — comfortable reasoning about failure modes across hardware, OS, container, and application layers
Required Technical Skills
  • Expert proficiency with Ansible (roles, dynamic inventory, idempotent design); working knowledge of Terraform
  • Expert proficiency with Docker, including creation and lifecycle management of containers, image hardening, registry management and installing & configuring the NVIDIA container runtime
  • Production experience with Linux administration: systemd, networking (VLANs, DHCP, DNS), kernel/driver management (especially NVIDIA/DKMS), package and APT internals
  • Strong Python skills focused on tooling, automation, packaging (wheels, pip, private indexes), and subprocess/CI integration
  • Proficiency with Git workflows, branching strategies, and modern CI/CD systems (GitHub Actions, GitLab CI, or equivalent)
  • Experience designing and operating automated test infrastructure — unit, integration, hardware‑in‑the‑loop, and end‑to‑end
  • Practical experience using LLMs (Anthropic, OpenAI, or local) as part of engineering workflows — test generation, code review augmentation, log analysis, or agentic tooling
Nice to Have
  • Bazel or similar monorepo build systems
  • Edge or embedded deployment experience
  • Tailscale, WireGuard, or zero‑trust networking in production
  • gRPC/protobuf service ecosystems
  • Vault, PKI, or secrets management at fleet scale
  • Background in regulated or compliance‑driven environments (CMMC, ISO 27001, SOC 2)

Compensation offered will be determined by factors such as location, level, job‑related knowledge, skills, and experience. Range $75/hr – $85/hr.

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