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Remote Prompt Engineering Jobs in Portland, OR (NOW HIRING)

Expertise in prompt engineering and AI-assisted development as a daily practice Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136 ... RAG pipelines * Prompt engineering and evaluation frameworks * Familiarity with: * Distributed ...

Apply prompt engineering techniques to optimize model interactions and outcomes. * Ensure ... LI-Remote The Compensation range for this role is 120,000 to 170,000 USD annually and may be ...

Remote Prompt Engineering information

See Portland, OR salary details

$18

$35

$50

How much do remote prompt engineering jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote prompt engineering in Portland, OR is $35.06, according to ZipRecruiter salary data. Most workers in this role earn between $28.03 and $40.53 per hour, depending on experience, location, and employer.

What is the difference between Remote Prompt Engineering vs Remote Data Annotation Specialist?

AspectRemote Prompt EngineeringRemote Data Annotation Specialist
Required CredentialsBasic understanding of AI, NLP, and scripting skillsAttention to detail, familiarity with annotation tools, no formal certifications required
Work EnvironmentCollaborative with AI/ML teams, remote setupIndependent annotation tasks, remote or on-site
Industry UsageAI development, NLP projects, machine learningData labeling for AI training datasets
Search & Comparison IntentUnderstanding roles in AI development, job requirementsData labeling jobs, annotation tasks, related roles

Remote Prompt Engineering involves designing and refining prompts for AI models, requiring some technical skills and collaboration with AI teams. In contrast, Remote Data Annotation Specialists focus on labeling data to train AI systems, emphasizing attention to detail. Both roles are essential in AI development but differ in skills and daily tasks.

What are some common challenges faced by remote prompt engineers, and how can they be addressed?

Remote prompt engineers often face challenges related to communication and collaboration, especially when working across time zones and with interdisciplinary teams. Staying updated on rapidly evolving AI technologies and understanding nuanced user requirements can also be demanding. To address these, prompt engineers can leverage collaborative tools, maintain clear documentation, and participate in regular team syncs. Building a habit of continuous learning and engaging in knowledge-sharing sessions helps keep skills relevant and fosters a sense of connection despite remote work.

What are the key skills and qualifications needed to thrive as a remote prompt engineer?

To thrive as a Remote Prompt Engineer, you need a strong background in natural language processing, programming (often Python), and an understanding of AI/ML concepts, typically supported by a relevant degree or industry experience. Familiarity with large language models (like OpenAI's GPT), prompt optimization tools, and version control systems such as Git is common. Creativity, problem-solving, and strong written communication are vital soft skills for designing effective prompts and collaborating remotely. These skills ensure the development of high-performing AI solutions and seamless teamwork in distributed environments.

What is remote prompt engineering?

Remote prompt engineering is the practice of designing and refining prompts for AI language models, such as ChatGPT, while working from a remote location. Prompt engineers craft instructions or questions to optimize the model’s responses for specific tasks or applications. This role typically involves understanding both the capabilities and limitations of AI systems, as well as the needs of end users or clients. Remote prompt engineers collaborate online with teams and may work for tech companies, research organizations, or as independent contractors.

Are remote prompt engineers still in demand?

Remote prompt engineers are currently in demand as organizations seek expertise in designing effective prompts for AI models. The role often requires skills in natural language processing, AI tools, and continuous learning to keep up with evolving technologies. Demand is driven by the growth of AI applications across various industries.
What are the most commonly searched types of Prompt Engineering jobs in Portland, OR? The most popular types of Prompt Engineering jobs in Portland, OR are:
What are popular job titles related to Remote Prompt Engineering jobs in Portland, OR? For Remote Prompt Engineering jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Remote Prompt Engineering jobs in Portland, OR look for? The top searched job categories for Remote Prompt Engineering jobs in Portland, OR are:
Infographic showing various Remote Prompt Engineering job openings in Portland, OR as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,921 per year, or $35.1 per hour.

Senior Software Engineer (Remote)

Rapta, Inc

Portland, OR • Remote

$140K - $175K/yr

Full-time

Re-posted 14 days ago


Job description

Senior Software Engineer

Full-Time Position | Portland, Oregon

About Us

Rapta is revolutionizing precision US manufacturing with an agentic native AI Platform trusted by the nation's top defense primes. Backed by top investors and growing 521% year-over-year, we're a Portland-based team building computer vision and robotics technology that keeps America's most critical production lines running flawlessly. If you want to do meaningful work at the intersection of AI and advanced manufacturing, we'd love to meet you.

Position Overview

We're seeking an experienced Senior Software Engineer to join our team in developing distributed, cutting-edge applied AI systems. This is a full-time position working directly with our engineering team to drive technical innovation and mentor mid-level and junior engineers.

What You'll Do

  • Contribute to the architecture and development of production-grade distributed microservice systems running on Linux
  • Drive technical initiatives to advance our service mesh, contract-first APIs, and inter-service communication patterns
  • Build scalable data processing pipelines and high-throughput service infrastructure
  • Design and evolve protobuf contracts and gRPC service definitions across the platform
  • Provide technical guidance to junior team members

What We're Looking For

  • 10+ years of professional experience developing distributed backend systems on Linux
  • Deep curiosity for all software and systems architecture topics
  • Expert-level Python programming and software architecture skills
  • Strong system design skills with a focus on service boundaries, API contracts, and fault tolerance
  • Fluency operating in Linux environments comfortable living in the shell, reading logs, and reasoning about process, network, and filesystem behavior
  • Excellence in technical communication and documentation

Required Technical Skills

  • Expertise in prompt engineering and AI-assisted development as a daily practice Claude Code, Augment, Copilot, or equivalent is a force multiplier in your workflow, not a novelty
  • Expertise in designing and operating microservice architectures at scale
  • Deep experience with gRPC and Protocol Buffers schema evolution, streaming RPCs, interceptors, and contract-first development
  • Proficiency with version control and CI/CD practices
  • Experience with containerized deployments (Docker on Linux hosts), service discovery, and distributed computing
  • Strong grasp of observability: distributed tracing, structured logging, and metrics

Highly Competitive Candidates Will Also Bring

  • Previous experience in manufacturing, industrial automation, or quality control systems
  • Experience with monorepo build systems (Bazel, Buck, Pants) and polyglot protobuf code generation
  • Familiarity with backwards/forwards compatibility patterns and API versioning at scale
  • Experience with real-time processing and edge computing constraints on resource-constrained Linux devices
  • Experience with configuration management and infrastructure-as-code (Ansible, Terraform) for Linux fleet operations

Why Join Us?

  • Work with cutting-edge technology in a high-impact industry
  • Meaningful early-stage equity at a late seed-stage company
  • Competitive compensation and benefits package
  • Professional development and learning opportunities
  • Opportunity to shape manufacturing technology that impacts American industry

Location Requirements

Candidates local to the Portland, Oregon metro area will be considered highly competitive for this role. While we will consider remote applicants on a case-by-case basis, local presence is strongly valued and may be a deciding factor.

Equal Opportunity

Rapta is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.

How to Apply

No recruiters or agencies we only accept applications directly from applicants.