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Ai Engineer Contract Jobs in Bothell, WA (NOW HIRING)

Saransh Inc

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Contract Must Have Skills: * 7 yrs of exp - AI Engineer - Privacy * 7 yrs of exp - Azure Data Factory, Azure , GitLab * 5 yrs of exp - Databricks, Snowflake Description: * The Senior AI Engineer ...

Bristol Myers Squibb

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior AI Engineer on the AI Venture Studio team, you will be a hands-on senior individual ... contracts, streaming response patterns, error handling, and service-level behaviors that enable ...

Bristol-Myers Squibb Company

Senior AI Engineer

Seattle, WA · On-site

$118K - $163K/yr

As a Senior AI Engineer on the AI Venture Studio team, you will be a hands-on senior individual ... contracts, streaming response patterns, error handling, and service-level behaviors that enable ...

Metropolis

Senior AI Engineer

Seattle, WA · On-site

$139K - $183K/yr

They are seeking a Senior AI Engineer to design and ship AI-powered tools and automation pipelines ... Take the uncertainty out of smart contract deployments. Build confidence from the command line.

1 point system

AI Engineer - Machine Learning 3

Redmond, WA · Remote

$117K - $140K/yr

Requirement - AI Engineer - Machine Learning 3 Location- Redmond, WA 98052-Remote Contract W2 Title: Machine Learning Data Scientist - Research Translation & Prototypin Top 3 Must-Have HARD Skills ...

Apple

Quality Engineer, Tools and Automation

Seattle, WA

$166K - $250K/yr

... contract, performance, and reliability test suites across distributed systems Evaluate emerging AI ... engineering and program management Preferred Qualifications Experience with UI automation ...

Palnar

Sr. Java SDET Engineer@ Seattle, WA

Seattle, WA · On-site

Seattle, WA Duration: Long Term Contract Required Skills, * Strong proficiency in Java development ... Preferred Skills, * Exposure to Generative AI engineering tools and frameworks (Azure OpenAI ...

1 point system

AI Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Requirement - AI Data Engineer Location- Redmond WA 98052-Hybrid Contract W2 Top 3 Must-Have Hard Skills 1. Reporting & Analytics - 5+ Years * Minimum 5 years of experience designing and developing ...

Metropolis

Director, Applied AI

Seattle, WA · On-site

Required : • 7+ years of experience in software engineering, AI/ML, or technical product ... Take the uncertainty out of smart contract deployments. Build confidence from the command line.

DocuSign

AI SaaS Engineer

Seattle, WA · On-site +1

$119K - $184K/yr

... signature and contract lifecycle management (CLM). What you'll doAs an AI Agentic Engineer at ... Docusign, you will transform IT operations by designing and deploying autonomous AI agents that ...

New

Holland & Knight

AI Legal Engineer

Seattle, WA

The AI Legal Engineer is responsible for partnering with subject matter experts to design, build ... contract review, due diligence, drafting, research, and summarization. * Partner directly with ...

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Showing results 1-20

All JobsAi Engineer Contract JobsAi Engineer Contract Jobs in Bothell, WA

Ai Engineer Contract information

See Bothell, WA salary details

$33

$54

$110

How much do ai engineer contract jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for ai engineer contract in Bothell, WA is $54.70, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $56.68 per hour, depending on experience, location, and employer.

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

AspectAi Engineer ContractData Scientist Contract
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with ML frameworksBachelor's or higher in CS, Statistics, or related fields; experience with data analysis tools
Work EnvironmentTech companies, AI startups, R&D labsBusiness, finance, healthcare, and tech sectors
Employer & Industry UsagePrimarily in AI-focused roles across various industriesAcross industries for data analysis and insights

While both roles involve working with data and algorithms, Ai Engineer Contract focuses on developing AI models and systems, whereas Data Scientist Contract emphasizes analyzing data to derive insights. The roles often overlap but differ mainly in their core responsibilities and technical focus.

What are some common challenges AI engineers face when working on contract projects?

AI Engineers working on contract projects often encounter challenges like quickly adapting to new codebases and company processes, aligning with client expectations, and managing project scope within set timelines. Since contractors may have limited onboarding time, effective communication and time management are crucial for integrating with existing teams. Additionally, ensuring the transfer of knowledge and documentation at project completion is vital for long-term success and client satisfaction.

What are the key skills and qualifications needed to thrive as an AI engineer contract, and why are they important?

To thrive as an AI Engineer (Contract), you need strong expertise in programming languages (such as Python or Java), machine learning algorithms, and a relevant degree in computer science or a related field. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms, and version control systems is typically required, along with certifications in AI or machine learning being advantageous. Outstanding problem-solving skills, adaptability, and effective communication set top-performing contract AI engineers apart. These skills ensure efficient project delivery, seamless integration with teams, and the ability to develop innovative AI solutions that meet client needs.

What are AI engineer contracts?

AI Engineer contracts are agreements between companies and artificial intelligence engineers who work on a temporary or project basis to develop, implement, or maintain AI technologies. Contractors may be hired for specific projects like building machine learning models, automating processes, or integrating AI solutions into existing systems. Unlike full-time employees, contract AI engineers often work on a freelance or fixed-term basis, offering flexibility for both the employer and the engineer. These contracts typically outline the scope of work, duration, payment terms, and deliverables. Companies often use AI Engineer contracts to quickly access specialized skills without long-term commitments.
What are the most commonly searched types of Ai Engineer jobs in Bothell, WA? The most popular types of Ai Engineer jobs in Bothell, WA are:
What are popular job titles related to Ai Engineer Contract jobs in Bothell, WA? For Ai Engineer Contract jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Ai Engineer Contract jobs in Bothell, WA look for? The top searched job categories for Ai Engineer Contract jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Ai Engineer Contract jobs? Cities near Bothell, WA with the most Ai Engineer Contract job openings:
Ai Engineer Contract jobs near you
Infographic showing various Ai Engineer Contract job openings in Bothell, WA as of July 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $113,780 per year, or $54.7 per hour.

AI Engineer - Agentic AI Development - Contract - PST

Acunor Infotech

Seattle, WA • On-site

Other

Posted 4 days ago

Job description

AI Engineer Agentic AI Development

Location: Canada, US - PST timezone

Base Location: Seattle, WA
Work Arrangement: Hybrid preferred
Experience: 5 8 Years
Employment Type: Contract

Job Summary

We are seeking AI Engineers specializing in Agentic AI Development for one of our analytics clients, supporting a strategic AI initiative for a leading specialty retailer.

This is a highly hands-on engineering role focused on designing, building, evaluating, and deploying production-grade agentic AI systems that automate real-world business workflows. The ideal candidate will have strong software engineering fundamentals combined with recent hands-on experience developing agents, multi-agent systems, orchestration workflows, evaluation frameworks, and context-management solutions.

This is a high-visibility engagement requiring engineers who can independently take well-defined requirements through design, development, evaluation, and production deployment.

Key Responsibilities
  • Design and build production-grade AI agents and multi-agent orchestration systems.
  • Develop agent orchestration patterns, multi-agent coordination, tool integrations, and workflows.
  • Design and integrate tools used by agents, including MCP (Model Context Protocol) considerations where applicable.
  • Build programmatic agent evaluation frameworks covering metrics, offline/online evaluations, and failure-mode analysis.
  • Implement context engineering strategies including retrieval, context assembly, memory/state management, and context optimization.
  • Design solutions considering token limits, latency, reliability, and LLM cost constraints.
  • Develop production-ready code and own delivery across the full SDLC, including deployment.
  • Work independently from client-defined requirements while collaborating closely with engineering teams and stakeholders.
  • Contribute to engineering standards and GenAI development best practices across the broader team.
Required Skills & Experience

Software Engineering

  • 5 8 years of overall software engineering experience.
  • Strong experience building production-grade applications and owning solutions through deployment.
  • Solid understanding of software architecture, APIs, integrations, testing, and production engineering.

Agentic AI / Generative AI

  • Recent hands-on experience building and shipping agentic AI systems, ideally within the last 12 months.
  • Experience beyond prototypes, POCs, or prompt experimentation; candidates should have built functional agent workflows or production systems.
  • Strong understanding of modern foundation models and agentic architecture/design patterns.
  • Experience with agent orchestration, tool calling, multi-agent coordination, and MCP concepts.

Agent Evaluation

  • Practical experience designing and implementing agent/LLM evaluations.
  • Experience with programmatic metrics, offline and online evaluations, and failure-mode analysis.

Context Engineering

  • Hands-on experience with retrieval, context assembly, memory, and state management.
  • Understanding of context-window, latency, performance, and cost trade-offs in production LLM applications.

Frameworks

  • Experience with one or more agentic AI frameworks or SDKs such as LangGraph, AutoGen, CrewAI, Semantic Kernel, Claude Agent SDK, or OpenAI agent development tooling.
  • Ability to work framework-agnostically and apply transferable agentic architecture concepts.

Communication

  • Strong written and verbal communication skills.
  • Ability to operate independently from defined requirements and collaborate effectively with engineering and business stakeholders.
Nice to Have
  • Hands-on experience with Claude Agent SDK.
  • Experience with LLM cost management and optimization.
  • Strong stakeholder communication and requirements-translation skills.
  • Retail or E-commerce domain experience.
  • Experience working with customer journey, transaction, behavioral, or similar retail data.
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About Acunor

Sourced by ZipRecruiter

Acunor provides high quality digital engineers in the field of Java Full Stack Programming, Pega, Appian, Power BI, Salesforce, DevOps, No-Code & Low-Code, Data Science, Analytics, Data Base and Cloud Native solutions. ​We specialize in providing Java Full Stack Engineers, BPM (Pega, Appian) Consultants, Salesforce Consultants, AWS/Azure/GCP Engineers, Data Scientists, Technical PMs, Program and Engagement Managers. ​Management comprises of highly experienced and seasoned technology executives with vast expertise in Large Scale Development Projects, Cloud Native Solutions and Managed Services.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Princeton, NJ, US

Year founded

2016

Social media

Twitter

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