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Director Llm Engineer Jobs (NOW HIRING)

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross ... In short, you will have a direct influence and impact on how we enable and implement GenAI and LLMs ...

As a Principal Engineer - GenAI/LLM, you will provide technical leadership across multiple cross ... In short, you will have a direct influence and impact on how we enable and implement GenAI and LLMs ...

We're seeking a Senior Director of Discoverability to own how Bryan Johnson and Blueprint are found ... engineer, content writer, transcript pipeline engineer, schema vendor, LLM tracking vendor ...

... 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 ...

LLM Dataset Engineer

San Francisco, CA · On-site

$155K - $210K/yr

Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from ... Role Overview Sciforium is seeking a highly technical and visionary LLM Dataset Engineer to lead ...

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Director Llm Engineer information

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How much do director llm engineer jobs pay per hour?

As of May 29, 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.

More about Director Llm Engineer jobs
What cities are hiring for Director Llm Engineer jobs? Cities with the most Director Llm Engineer job openings:
What are the most commonly searched types of Llm Engineer jobs? The most popular types of Llm Engineer jobs are:
What states have the most Director Llm Engineer jobs? States with the most job openings for Director Llm Engineer jobs include:
Infographic showing various Director Llm Engineer job openings in the United States as of May 2026, with employment types broken down into 3% Internship, 68% Full Time, 5% Part Time, 19% Temporary, 3% Contract, and 2% Nights. Highlights an 96% Physical, 3% Hybrid, and 1% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.
Principal Artificial Intelligence LLM Engineer

Principal Artificial Intelligence LLM Engineer

Request Technology, LLC

Chicago, IL • Hybrid

Other

Posted 18 days ago


Job description

***This role is 3 days onsite each week in Chicago, hybrid remote***

***We are unable to provide sponsorship for this permanent full-time role in Chicago***

***Position is bonus eligible***

Prestigious Financial Institution is currently seeking a Principal Artificial Intelligence Engineer with strong LLM experience Candidate will be a technical leader who will lead through expertise and ensure the technical success of the team's work. The position requires a seasoned engineer with strong software engineering experience, technical leadership skills, and foundational knowledge of AI/LLMs with a keen interest in applying these technologies to financial infrastructure. You will play a key role in executing the AI roadmap while mentoring a team of talented junior engineers in driving organizational transformation. As a team leaning into emerging technology, we also support continuous growth and learning by providing time for experimentation with AI tools and technologies.

Responsibilities:

Partner with the Executive Director, AI Engineering to help define and execute on the AI technical roadmap

Lead and partner on the architecture of scalable systems incorporating LLMs and AI into organizational processes and infrastructure

Design and build production applications in support of organizational use cases

Provide technical mentorship to junior engineers on engineering best practices and system design (no direct reports)

Conduct code/architectural reviews ensuring production readiness, safety, and adherence to high security and compliance standards

Implement testing, evaluation, and monitoring frameworks for AI systems including hallucination detection and bias assessment

Establish safety guardrails and responsible AI practices for LLM applications in a regulated environment

Connect AI agents to organizational systems and workflows

Evaluate emerging technologies and recommend adoption strategies

Foster continuous learning culture in a rapidly evolving AI landscape

Qualifications:

Bachelor's or Master's in Computer Science or related technical field

10+ years software engineering/systems architecture experience with strong technical leadership

5+ years as senior technical contributor on complex production systems

Expert in Python and proficient in SQL

System design expertise: monolithic and microservice architectures, distributed systems, event-driven architectures, APIs

Hands-on experience in data (e.g., data engineering, data pipelines, data transformation)

Foundational experience with LLMs and familiarity with multiple frontier lab models (e.g., Gemini, Claude, GPT)

Familiarity of risk vectors in AI applications including hallucinations, bias, prompt injection, data privacy

Experience mentoring and reviewing the work of junior engineers

Exceptional communication skills explaining complex technical concepts

Strong interest in AI/LLM space with demonstrated commitment to continuous learning

Preferred Experience:

Production experience with AI applications or LLM-powered systems

Experience with RAG architectures and context engineering

Familiarity with diverse LLM provider APIs and experience connecting agents to systems

Experience tinkering with frontier lab tools and products

Cloud platforms/technologies: AWS, Docker, Kubernetes, CI/CD

Infrastructure as code: Terraform

Experience in financial market infrastructure or derivatives industry

Background in regulated environments