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Llm Engineer Remote Jobs in Seattle, WA (NOW HIRING)

NextDeavor Inc.

WAF Adversarial Engineer

Seattle, WA · On-site +1

$56.34 - $70.42/hr

This role is hybrid/remote with Seattle preferred and open to remote candidates. Here's How You'll ... Familiarity with edge-layer LLM/GenAI guardrails and prompt injection mitigation at the WAF tier.

Stripe

Technical Solutions Engineer

Seattle, WA · On-site +1

... LLM-based Copilot tool or the Invoice Explainer Admin tool. * Act as a developer advocate and ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

Stripe

Technical Solutions Engineer

Seattle, WA · Remote

... LLM-based Copilot tool or the Invoice Explainer Admin tool. * Act as a developer advocate and ... This role is remote but requires candidates to be located in the Mountain or Pacific time zones.

DocuSign

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience building platform-level services for LLM orchestration, RAG architectures, and ...

Team Red Dog

AI Prompt Engineer

Redmond, WA · Remote

This upcoming fully remote role will support enterprise AI initiatives focused on conversational AI ... virtual assistants using LLM and generative AI technologies. * Software Engineering ...

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Llm Engineer Remote information

See Seattle, WA salary details

$28

$61

$87

How much do llm engineer remote jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for llm engineer remote in Seattle, WA is $61.03, according to ZipRecruiter salary data. Most workers in this role earn between $49.23 and $70.87 per hour, depending on experience, location, and employer.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.
What are the most commonly searched types of Llm Engineer jobs in Seattle, WA? The most popular types of Llm Engineer jobs in Seattle, WA are:
What are popular job titles related to Llm Engineer Remote jobs in Seattle, WA? For Llm Engineer Remote jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Llm Engineer Remote jobs in Seattle, WA look for? The top searched job categories for Llm Engineer Remote jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Llm Engineer Remote jobs? Cities near Seattle, WA with the most Llm Engineer Remote job openings:
Llm Engineer Remote jobs near you

Senior Security Engineer (Remote - North Carolina, Florida, or South Carolina preferred)

Archgroup

Home, WA • Remote

$127K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 8 days ago

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Overview

We are seeking a Senior Security Engineer to protect enterprise systems, data, and cloud environments from evolving cyber threats. This role focuses on advanced security engineering, threat detection, and AI-driven security capabilities. You will serve as a senior technical resource, leading complex investigations and improving detection and response through automation and AI.

Why This Role

This role offers the opportunity to shape next-generation security capabilities, including AI-driven detection, automation, and cloud security, while working on high-impact enterprise challenges.

This is a remote role that can sit anywhere in US (near Arch office preferred).

Key Responsibilities

  • Design, build, and deploy agentic AI workflows and intelligent autonomous playbooks to automate Tier-1/2 alert triage, context enrichment, and incident response.

  • Develop and tune complex detection logic across SIEM, EDR/XDR, and cloud platforms, focusing on behavioral analytics and anomaly detection.

  • Utilize Python to build custom security tools, integrate disparate security APIs, andmaintainhigh-quality, reusable codebases for security orchestration (SOAR).

  • Lead threat hunting initiatives and serve as a Tier-3 escalation resource for complex, high-severity security incidents.

  • Analyze attacker tactics, techniques, and procedures (TTPs) to map coverage against the MITRE ATT&CK framework and proactively close gaps.

  • Secure cloud environments (AWS, Azure, or GCP), with a specific focus on auditing, monitoring, and protectingproductionAI/LLM pipelines and workloads.

  • Mentor junior team members, conduct code reviews for automation scripts, and promote robust software engineering best practices within the security team.

Qualifications

Required

  • 7+ years of cybersecurity experience with a focus on security or detection engineering

  • 3+yearsin a Sr. SecurityEngineerrole

  • Deep technical knowledge of incident response, threat hunting, and adversary TTPs.

  • Experience implementing and managing detection logic across enterprise SIEM, EDR/XDR, or cloud-native security tools.

  • Experience securing and monitoring cloud infrastructure (AWS, Azure, or GCP).

  • Demonstrated experience building functional toolsin Python/Powershell, interacting with REST APIs, and writing clean, structured code (experience with Git and CI/CD pipelines preferred).

  • Bachelor'sdegree inComputer Science, Cybersecurity,orEngineering.

Preferred

  • Practical understanding of building or implementing LLM-based agents, prompt engineering, and integrating AI models into automated workflowsandcustom API integrations.

  • Familiarity with AI/LLM-specific security vulnerabilities (e.g., OWASP Top 10 for LLMs, prompt injection, data poisoning, model evasion).

  • Experience with SIEM, EDR/XDR, SOAR, or identity security platforms

  • Advanced certifications (e.g., CISSP,GIACGCIA/GCIH, or cloud security certifications).

  • Master's degree inComputer Science, Cybersecurity, IT Management with an emphasis on AI/Automation.

#LI-Remote

#LI-ZP1

Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC

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