This page tracks remote ai engineer openings that are location-eligible for Washington.
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• Define and drive the vision, strategy, and roadmap for enterprise semantic data and data connectivity across business domains • Partner with business and IT leaders to identify high-value opportunities to connect and standardize data across systems • Position the semantic data product as a product, not just a technical asset, with clear customers, outcomes, adoption goals, and success metrics • Define and evolve the product’s value proposition, ensuring alignment to business priorities and measurable outcomes • Act as the general manager of the product, balancing user needs, technical feasibility, strategic priorities, operational constraints, and business impact • Define and manage data products aligned to key business domains, including clear ownership, users, and success metrics • Define target users and use cases for data products, ensuring alignment to specific decisions, workflows, and business outcomes • Partner closely with business customers to ensure data products support critical decisions, workflows, and operational outcomes • Drive adoption and usage of shared data assets across business units • Identify and prioritize use cases where connected data unlocks measurable business value (e.g., improved decisioning, automation, personalization) • Ensure solutions are aligned to real-world workflows and deliver tangible outcomes • Lead the development and evolution of enterprise ontologies, taxonomies, and data models that represent key business concepts and relationships • Establish a scalable semantic layer that enables reuse across analytics, AI, and operational use cases • Ensure alignment of definitions across domains to reduce fragmentation and duplication • Support both structured and unstructured data integration, enabling downstream AI and analytics applications • Ensure data is discoverable, understandable, and usable across teams through consistent definitions and relationships • Partner deeply with business domains to understand workflows, decision points, and data dependencies, acting as a product owner for how data supports those functions • Own the end-to-end product lifecycle from discovery and definition to delivery and iteration • Define product requirements, success metrics, and release plans • Continuously refine the semantic data product based on user feedback and evolving business needs • Define critical metrics to measure adoption, usability, and impact of the semantic data product • Supervise usage and continuously improve accessibility and value delivery • Evangelize the value of connected semantic data across the organization • Partner with data governance teams to establish standards, definitions, and data quality expectations • Promote consistency, reusability, and scalability of data assets across the enterprise
GitLab, founded in 2011 and based in San Francisco, California, maintains a distributed team of professionals that work remotely across multiple continents. GitLab advocates for pr
• Diagnose business problems before building solutions • Own AI initiatives end-to-end, from stakeholder discovery and technical design through implementation, deployment, and iteration • Design, develop, and ship AI-powered solutions quickly • Improve organizational flow by building solutions that reduce bottlenecks, shorten lead times, and increase throughput • Integrate AI capabilities into existing systems and workflows using APIs, orchestration tools, and modern AI platforms • Be Customer Zero: leverage and showcase GitLab's AI offerings wherever possible • Partner closely with stakeholders across functions to understand the real constraints • Define and track success through business metrics, flow metrics, and feedback loops that make performance visible and actionable • Contribute to technical direction by evaluating tools, documenting patterns, and creating reusable foundations
Role Description A well-funded seed-stage startup building the next generation of autonomous trading technology. You are building the intelligence layer on top of a purpose-built execution system for AI agents operating with real capital around the clock. What You'll Own - Learning System & RL Loop (~70%): - Design and implement the pipeline that connects live trade outcomes back to strategy improvement — signal quality, position sizing, timing, risk parameters. - Build the evaluation framework that separates genuine predictive signal from noise across agents, market conditions, and configurations. - Automate the strategy generation and testing cycle — the system should explore new configurations, validate them against real fleet data, and surface deployment candidates. - Detect regime shifts in market conditions and adapt fleet behavior accordingly. - Decompose every trade into its component drivers — signal quality, execution efficiency, exit timing — and wire those attributions back into strategy design. - Manage fleet-level coordination: concentration risk, capital allocation, and the exploration vs. exploitation balance. - Build the telemetry and data capture layer that makes all of the above possible. - Model & Inference Infrastructure (~30%): - Own the build-vs-buy decision on model hosting — evaluate proxied external APIs versus fine-tuned models on owned infrastructure and execute the chosen path. - Determine whether domain-specific training on trading data meaningfully outperforms prompted general-purpose models — then build the pipeline to act on that answer. - Optimize inference for the specific demands of a large autonomous agent fleet: concurrent agents, structured outputs, cost efficiency at scale. - Build the agent telemetry layer capturing every decision, signal score, and evaluation across the fleet. Qualifications - A production closed-loop system — model outputs drove real-world actions, outcomes were measured, and that feedback automatically improved the next decision. - Practical RL or online learning experience — you understand the challenges of learning from real-world feedback rather than static datasets. - Full-stack ML ownership — you build the pipeline, deploy the model, and own the outcome; Python primary, comfortable with Go or TypeScript in production services. - High-stakes sequential decision-making domain experience — finance preferred but not required; robotics, autonomous vehicles, game AI, ad bidding, and supply chain all transfer. Nice to Have - LLM fine-tuning and open-source model serving in production (vLLM, TGI, PEFT/LoRA). - Multi-agent system design. - Financial ML — signal generation, execution optimization, portfolio construction. - Onchain or DeFi experience. Interview Process - Fast — target first call to offer within two weeks. - Intro call with founders (60 min) — fit, motivation, your closed-loop experience. - Technical deep-dive (60 min) — open-ended system design, no right answer, evaluating how you think. - Paid trial project (1 week, part-time) if needed — real problem, compensated.
The CES Family of Companies is a collection of strong brands and businesses providing food equipment, supplies, service.
• Design and implement AI/GenAI features across applications and SDLC workflows • Build AI solutions using platforms like Azure AI Foundry and LLM APIs • Develop agent-based workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel • Implement RAG-based solutions and prompt engineering strategies • Leverage GitHub Copilot for AI-assisted development and productivity • Build full-stack applications using Python, JavaScript/TypeScript, and/or C# (.NET) • Develop APIs, backend services, and integrate with databases (SQL/NoSQL) • Ensure application quality through testing, monitoring, and observability • Collaborate with cross-functional teams (product, UX, data science) • Troubleshoot and optimize AI models, pipelines, and integrations
The City of Seattle serves one of the nation’s most dynamic and diverse urban communities through a wide range of public services that support safety, sustain
Title: Lead Prosecutor, Review and Filing / Trial Team Unit | Criminal Division Job Description: Salary $140,167.44 - $182,198.88 Annually Location Columbia Center, 701 5th Avenue, Suite 2050 Seattle, WA Job Type Civil Service Exempt, Regular, Full-time Remote Employment Flexible/Hybrid Job Number 2026-00701 Department Law Department Position Description With more than 200 attorneys and professional staff, the Seattle City Attorney’s Office is one of the largest law offices in Seattle and is the third-largest public law office in the state. Our office is committed to making Seattle a safe, healthy, empowered, and thriving community for everyone. We strive to address historical injustices within the court system with self-examination and to pursue justice in Seattle with integrity, creativity, and fairness. We believe working transparently, innovatively, and in collaboration with our partners in the community is necessary to achieve outcomes that promote equity, accountability, and healing. The Criminal Division’s Review and Filing Unit (RFU) is seeking a prosecutor with demonstrated leadership abilities and prosecutorial expertise to serve as a Team Lead. The Lead will have the opportunity to work closely with the RFU Supervisor and Criminal Division Chief in transitioning the team into a vertical prosecution trial team. Once the transition is complete, this position will be the trial team lead for the newly created additional trial team. Job Responsibilities - Approve and oversee filing decisions, and bail and sentencing recommendations. - Work with the RFU Supervisor to ensure all referrals are reviewed within the time for review standard set by the elected City Attorney. - Work with the RFU Supervisor to review data reports for each filing prosecutor monthly to ensure consistent productivity. - Assist the RFU Supervisor in identifying and addressing backlogged referrals on a monthly/quarterly basis. - Ensure sufficient attorneys are available to cover ICA filing, DUI OCA filing, as well as intake, jail, and DUI OCA calendars. - Represent the RFU to Senior CAO Management, the Courts, Public Defenders, Private Attorneys, Police Officers, City Agencies, and the Public. - Assist RFU and CAO-Criminal Division policy formulation, implementation, and enforcement, and - Attend meetings or sit on committees, in place of, or in addition to, the RFU supervisor or Criminal Division Chief. - In the absence of the RFU supervisor, this position will serve as second-in-command, overseeing the daily functions of the RFU team, serving as the point of contact with other team members and supervisors as to court coverage and attendance at work. Qualifications Minimum Qualifications: - Demonstrated expertise in criminal prosecution. - Significant experience appearing in Seattle Municipal Court and as a trial prosecutor. - Knowledge of the CAO-Criminal Division’s organizational structure and culture. The successful candidate will also be able to: - Implement, follow, and enforce policies and decisions made by the RFU supervisor, Deputy Criminal Division Chief, and the Criminal Division Chief. - Make decisions and ensure they are carried out, and - Advise and assist other RFU team members on filing, sentencing, and bail matters, whether at ICA or OCA. Application Submission Guidelines – All applicants are required to apply on or before the closing date indicated on the job posting. Applicant inquiries received via email and websites such as Indeed, etc. will not be considered unless the individual has applied to the available position via the Government Jobs site. Note: The required documents listed in the above "Application Process" section must be attached to the application prior to the job closing date indicated to ensure consideration for the application submitted. Please contact the Office of Human Resources on or before the closing date indicated above should you need assistance with the online application process. Race and Social Justice Initiative – The City of Seattle recognizes every City employee must play a role in ending institutional and structural racism. We seek individuals who will work toward the goals of the Race and Social Justice Initiative. Compensation – The full salary range for this position is $67.13 - $87.26 per hour. Salaries are not subject to negotiation. Current City employees' starting rate of pay will be based on Personnel Rules regarding promotions. Benefits – The City of Seattle offers a comprehensive benefits package including vacation, 12 official holidays and 2 floating holidays, sick, and paid parental leave as well as medical, dental, vision, life, and long-term disability insurance for employees. Additional benefits include executive leave, and eligibility for merit leave. City Attorney’s Office employees also have the opportunity to participate in a defined benefits retirement program. More information about benefits can be found at https://www.seattle.gov/human-resources/benefits/employees-and-covered-family-members/most-employees-plans. Language Premium (Protec 17, L21PA)* – Individuals selected to fill this position may be eligible to receive Language Premium Pay (SMC 4.20.360), which provides a $200.00 monthly stipend to qualified bilingual employees who are properly evaluated and assigned to provide direct communication in-language, interpretation, or translation services to the public on behalf of the City of Seattle. Workplace Environment – Currently, the Seattle City Attorney's Office has a Flexible Work Arrangements Policy. Employees have the option to work a hybrid schedule (3 days in the office, 2 days remote). This is subject to change as circumstances and business needs dictate. Background Check Requirements – All positions are security sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the verification of credentials and/or other information required by the municipal corporation’s procedures, including the completion of the criminal history check in accordance with Seattle’s Fair Chance Employment Ordinance, SMC 14.17. Applicants will be given a chance to explain or correct background information and provide verifiable information on good conduct and rehabilitation. Who may apply – This position is open to all candidates who meet the minimum qualifications. The City of Seattle values diverse perspectives and life experiences. Applicants will be considered regardless of race, color, creed, national origin, ancestry, sex, gender identity or expression, family or marital status, disability, religious or political affiliation, age, sexual orientation, medical condition, pregnancy, or other protected characteristics. The Seattle City Attorney's Office encourages people of all backgrounds to apply.
Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Role Description We are looking for an AI Engineer to help build and scale a company-wide AI platform that will power customer-facing assistants, internal tools and future AI-driven products. This role is not a data science position. You will focus on systems, platforms, reliability and integration, ensuring AI capabilities are safe, scalable, cost-effective and reusable across teams. - Designing and building the core AI platform (gateways, orchestration, retrieval, tooling) - Integrating and operating LLMs via APIs and self-hosted solutions - Creating reusable infrastructure that enables product teams to ship AI features quickly - Implementing safety, compliance and observability for production AI systems - Partnering closely with Product, Backend, Data Science and Security teams to define AI capabilities Qualifications - 4+ years of experience in backend, platform or infrastructure engineering - Strong experience building production APIs and distributed systems - Experience with cloud platforms (AWS, GCP or Azure) - Solid understanding of system design, scalability and reliability - AI & ML literacy (not DS-heavy) - Practical experience integrating AI/ML models via APIs - Understanding of how LLMs work at a systems level (prompts, tokens, latency, cost) - Familiarity with concepts like: - Retrieval-augmented generation (RAG) - Model limitations and hallucinations - AI safety and guardrails - Ability to reason about AI behavior, risks and trade-offs Requirements - Strong programming skills in one or more backend languages (e.g., Python, Java, Go, Node.js) - Experience with data stores (SQL, NoSQL, Redis, search engines) - Familiarity with event-driven or async architectures - Experience with observability tools (logs, metrics, tracing) Nice to have - Experience building internal platforms or developer tooling - Exposure to fintech, payments or regulated environments - Experience with vector databases or search systems - Prior work on chatbots, assistants or workflow automation - Experience designing systems used by multiple teams What success looks like - Product teams can ship AI features without rebuilding infrastructure - AI systems are reliable, safe and cost-controlled in production - New AI use cases plug into a shared platform with minimal effort - Leadership has visibility into AI performance, quality and impact Benefits - Build foundational AI infrastructure used across the company - Work at the intersection of AI, platforms and real business impact - Shape how AI is safely deployed in a fintech/BNPL environment - High ownership, high visibility and long-term technical impact #Ly-remote Personal data collected during the recruitment process will be processed in accordance with the Privacy Notice of Aplaz, S.A. de C.V. (“Aplazo”), available at our Privacy and Policy Notice. Aplazo does not discriminate on the basis of race, religion, skin color, sex, gender, age, ethnic or national origin, marital status, disability, social or economic status, sexual preferences, or any other condition or characteristic. Selection is based solely on the qualifications and merits of the candidates.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 3+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package.
Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Role Description We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. Work with partners at OpenAI to integrate Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. At Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. How You Will Make an Impact: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. Qualifications - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. Requirements - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a "how can we" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. Benefits - Comprehensive benefits package including health, dental, and vision coverage. - Paid time off and paid parental leave. - 401(K) plan with employer matching. - Wellness benefits. - Equity opportunities may also be part of your total rewards package. Company Description Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. - Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. - We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. - We have more than 5 million customers — and we’re just getting started. - Founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.
Work for a Fortune 500 company that rewards performance, invests in your growth, and provides a launchpad for a high-earning remote sales career. This isn’t just a job — it’s your path to leadership, income, and long-term success.
Role Description Remote Career Opportunity — Your Future Starts NOW! - Make outgoing calls, emails, texts, and chats with clients. - Help families understand and choose the right benefit programs. - Maintain accurate records while delivering excellent service. - Collaborate with teammates to maximize customer satisfaction. - Provide caring support to clients by phone or online. Qualifications - Strong communicators with problem-solving abilities. - Adaptable multitaskers who thrive in fast-paced settings. - Must be willing to get Licensed in Life and Health Insurance. - Reliable and coachable candidates eager to learn and grow. - Must be a U.S. Resident. Requirements - No experience? No problem. We provide complete training. Benefits - High Earnings Potential — Earn $60K–$80K in your first year, with unlimited bonuses. - Fast Career Growth — Promotions, leadership roles, and continuous training await. - Flexible Lifestyle — Full-time or part-time hours designed around your life. - Supportive Team Culture — Work with motivated peers who celebrate wins together. - Free Full Training — No prior experience required; we coach you every step of the way. Company Description Join the fast-growing team at Globe Life AO and take control of your future with flexible schedules, uncapped bonuses, and rapid career growth. Get hired in as little as 24–48 hours and begin building your success story today!
Role Description Under the supervision of the Dispatch Program Manager, the Dispatch Core 1 and Core 2 Agents are responsible for processing inbound and outbound calls to the point of resolution, including customer service assistance, inquiries, and complaints. They will provide the highest quality service while ensuring that the caller’s needs are met. Dispatch Resolution Representatives will focus on meeting monthly goals in NPS, CPE, AHT, QWT, and more. Work Location and Schedule - Location: Mesa, AZ and Irving, TX - Work Week: 40+ hours, including at least 1 weekend day. - Job Type: Full-Time Compensation - $16.00 per hour base pay. - Eligible for bonus incentives based on performance metrics upon completion of training(s) & passing all exams. - Average Dispatch Agent compensation after incentives is up to $19 per hour or more. Benefits - Medical, dental, vision, disability, FSAs, and life insurance - Paid Time Off and paid holidays - 401K - Pet Insurance - 5-day work week - Employee Assistance Program - Training and Development Programs - Legal Coverage - Identity Theft Protection - Referral Program - And so much more… Responsibilities and Duties - Provide roadside assistance to customers. - Working Dispatches for Core 1 (Light Duty) and Core 2 (Medium and High Duty). - Answer Member and Vendor Call Backs. - Work Digital Dispatches. - Dispatching Mobile Dispatching. - Work White Glove and Manual Closed Loop as needed. - Troubleshooting and resolving problems encountered by customers. - Educate and explain membership benefits and coverage. - Keep current on all benefit/training information. - Keep current all company and departmental policies and procedures. - Maintaining or exceeding minimum requirements of the CSR Standards of Measurements. - Adhere to all company and department policies. - Log into network and e-mail and adhere to equipment policies. - Maintain acceptable levels of performance to include but not limited to attendance, adherence, fulfillment, and all other productivity and efficiency targets and objectives. - Support safety and ergonomic standards. - Acknowledging employee’s birthdays and anniversaries. - Support your fellow teammates. - Adhere to our Core Values. - Other duties as assigned. Qualifications - Minimum 6 months Customer Service Dispatching skills. - Excellent Customer Service Skills. - Good verbal/written communication skills. - Good analytical and problem-solving skills. - Computer/keyboard experience and Internet knowledge. - Ability to function in a team environment. - Ability to think outside of the box. - Mapping with Bing or Google maps and searching skills. - Ability to work varied shifts and varied days off as needed. Education - High School Diploma or Equivalent
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JavaScript, Python, TypeScript, GraphQL, Azure, NoSQL
