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Director Llm Engineer Jobs (NOW HIRING)

Workato

Intern, AI Engineering

San Francisco, CA · On-site

... direct impact on production systems serving enterprise customers. We are now filling intern ... LLM Agent Systems : Design and implement intelligent agent architectures for complex enterprise ...

Propio

AI/LLM Safety Engineer

Overland Park, KS · On-site

... direct experience working on-or securing-ML/LLM systems. * Strong software engineering skills with the ability to write production-grade code (primarily Python), beyond scripting or notebook ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

$93K - $100K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional ...

Propio

AI/LLM Safety Engineer

Overland Park, KS · On-site

... direct experience working on--or securing--ML/LLM systems. * Strong software engineering skills with the ability to write production-grade code (primarily Python), beyond scripting or notebook ...

eSimplicity

LLM Specialist

Columbia, MD · On-site +1

$93K - $100K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

$93K - $100K/yr

Our engineers, designers, and strategists cut through complexity to create intuitive products and ... Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by manager. Occasional ...

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How much do director llm engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for director llm engineer in the United States is $58.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $71.15 per hour, depending on experience, location, and employer.

What is the difference between Director Llm Engineer vs Machine Learning Engineer?

AspectDirector Llm EngineerMachine Learning Engineer
CredentialsAdvanced degrees in CS, AI, or related fields; extensive experience in NLP and LLMsBachelor's or Master's in CS, AI, or related fields; strong programming skills
Work EnvironmentLeadership roles overseeing teams, strategic planning, and project management in AI/ML projectsHands-on development, model training, and algorithm implementation in AI/ML projects
Industry UsageUsed in organizations with large AI teams, focusing on LLM strategy and architectureCommon across tech companies, startups, and research labs for developing ML models

The main difference is that a Director Llm Engineer focuses on leading AI teams and strategic oversight of LLM projects, while a Machine Learning Engineer is more involved in the technical development and implementation of ML models. Both roles require strong technical skills, but the Director Llm Engineer emphasizes leadership and vision in the AI domain.

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Director Llm Engineer jobs near you
Infographic showing various Director Llm Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, 1% Temporary, and 1% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.

Applied LLM Systems Engineer

Anduril Industries

Costa Mesa, CA • On-site

Full-time

Posted 28 days ago

Anduril rating

9.1

Company rating: 9.1 out of 10

Anduril

Based on 17 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Manufacturers average

Based on 76,674 frontline employees who took The Breakroom Quiz

Job description

Team Overview

Anduril's Technical Publications organization supports complex hardware, software, autonomy, and defense systems across multiple divisions, business lines, and programs. The Product Manager, Technical Writing Systems, owns the authoring and publishing platform. This role builds the AI systems that extend that platform so the documentation pipeline handles more work at lower cost and lower latency.

Role Specifics

As the Applied LLM Systems Engineer, your mission is to design, build, and operate production AI systems that improve how technical documentation is created, transformed, validated, maintained, and delivered. You will build and maintain AI-assisted authoring, automated publishing, and multi-agent coordination tooling for the Technical Publications pipeline. This is not a prompt-writing role. It is a systems-engineering role for someone who has already delivered production AI systems, understands evaluation and rollback, and knows how to make probabilistic systems useful in enterprise environments with structured content, strict review requirements, security boundaries, and real operational consequences. The right candidate can expand system capability while managing token usage, context efficiency, and cost at scale.

What You'll Do
  • Build production-grade LLM applications for documentation and knowledge-work workflows.
  • Design orchestration for multi-step workflows that coordinate models, tools, and deterministic services safely.
  • Optimize context management, token usage, caching, and workflow design for cost, latency, and task success.
  • Build retrieval, structured-output, and tool-integrated systems that safely interact with enterprise content, source control, issue tracking, and documentation systems.
  • Design evaluation frameworks and regression testing for prompts, models, tools, retrieval pipelines, and end-to-end workflows.
  • Establish observability, auditability, rollback, and safe failure modes for AI-assisted workflows.
  • Work directly with technical writers, illustrators, engineers, and documentation leadership to identify the highest-value places to apply AI and where human judgment should remain primary.
  • Preserve provenance between source material, generated output, validation results, and human decisions so outputs remain reviewable, correctable, and attributable.
Required Qualifications
  • 5+ years of professional software engineering experience, including building and operating production services.
  • Direct experience delivering at least one production AI system with measurable adoption by its intended users.
  • Experience optimizing cost, latency, and context usage in production LLM or workflow systems.
  • Experience designing evaluation, observability, rollback, and failure-handling for nondeterministic systems.
  • Strong proficiency in Python and modern API, data, and service-development practices, including software architecture, security boundaries, identity and access management, and data protection.
  • Sound judgment about where probabilistic AI is appropriate and where deterministic software or human review is required.
  • Must be eligible for Secret and higher security clearance (US).
  • In this role, you will be subject to pre-employment and randomized substance screening, as required by the Company.
Preferred Qualifications
  • Experience designing multi-step orchestration or coordination systems across models, tools, and deterministic services.
  • Experience with retrieval-augmented generation, structured outputs, tool calling, or other production LLM workflow patterns.
  • Experience integrating AI capabilities into desktop or enterprise applications with limited native APIs.
  • Experience in defense, aerospace, manufacturing, robotics, autonomy, aviation, or another regulated environment.
  • Familiarity with technical documentation, structured authoring, content management, or comparable documentation-heavy workflows.
  • Familiarity with S1000D, DITA, MIL-STD-40051, or comparable documentation frameworks.
  • Experience with containerized services, cloud infrastructure, CI/CD, queues, event-driven architectures, or production monitoring.

Working at Anduril

About Anduril, in their own words

From Anduril

As the world enters an era of strategic competition, Anduril delivers cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the warfighter in months, not years.

What Anduril employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Anduril Industries logo

About Anduril Industries

Sourced by ZipRecruiter

Anduril Industries is a trailblazer in the technology industry based in Costa Mesa, CA, US. Founded in 2017 by Palmer Luckey, the creator of Oculus VR, the company focuses on developing innovative technology to equip and empower those in the defense sector. Its primary products include cutting-edge autonomous systems and AI software that assist in combating threats to national and global security. The mission of Anduril Industries is to integrate technology and defense by building transformative, scalable solutions that ensure a safer world.

Industry

Guided missile and space vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Costa Mesa, CA, US

Year founded

2017

Social media

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