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Director Llm Engineer Jobs (NOW HIRING)

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable ...

Artefact

Director, AI & Data Science

Manhattan, NY · On-site

Harness Engineering: Directing the build of robust agent harnesses - orchestration layers, evaluation frameworks, guardrails, and observability - that make LLM systems reliable, safe, and measurable ...

Bright Vision Technologies

LLM Prompt Specialist

$100K - $150K/yr

LLM Prompt Specialist Location: 100% Remote (United States) Position Type: Full-time, Direct W2 ... Job Summary We are looking for a Prompt Engineering Architect to define and lead the strategy ...

Jobzhr

$180 - $240/hr

... direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the ... LLM Engineering: Production experience with LLM tool use, multi-agent orchestration, prompt ...

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How much do director llm engineer jobs pay per hour?

As of Aug 22, 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 2% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 2% 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.

Software Engineer 2 - (Python, LLM, Machine Learning)

Akina, Inc.

Annapolis Junction, MD • On-site

$201K - $246K/yr

Full-time

Retirement, PTO

Posted 5 days ago

Job description

Software Engineer 2 - (Python, LLM, Machine Learning)

Clearance: TS/SCI - Polygraph required
Position ID: 07-108-SWE2
Location: Annapolis Junction, Maryland

Description:

Intelligence analysts rely on multi-step workflows that are time-sensitive, detail-rich, and critical to national security. As an Artificial Intelligence/Machine Learning Engineer, you will work directly with mission users to capture these workflows, document operational decision points, and translate them into effective AI-enabled capabilities.

You will design and implement solutions that may include LLM-powered workflows, agent-based automation, or hybrid approaches depending on mission needs. Your work will streamline analytical tasks, improve data accessibility, and support rapid, informed decision-making in high-tempo environments.

You will collaborate with operators, analysts, developers, and mission leadership to ensure solutions integrate cleanly with existing systems, perform reliably in production, and adhere to the security and governance expectations of classified environments.

Position Required Skills:

  • Experience capturing user workflows and translating them into structured process maps, automation requirements, or executable logic.
  • Experience designing or implementing LLM-based or agentic workflows, including multi-step reasoning, tool integrations, and orchestration.
  • Experience integrating AI systems with APIs, enterprise data stores, or mission platforms.
  • Experience with programming languages such as Python.

Position Desired Skills:

  • Experience engineering AI capabilities in on-premise or multi-classification environments.
  • Experience with AWS or Azure, including work in restricted or classified environments.
  • Experience with AI/LLM development frameworks such as LangChain, LangGraph, PydanticAI, or CrewAI.
  • Experience with ML frameworks such as PyTorch, TensorFlow, vLLM, or llama.cpp.
  • Experience with cyber or intelligence workflows, operational data types, or mission-oriented analytical processes.
  • Master’s degree in AI, ML, Data Science, Cybersecurity, or Engineering.

SWE2 Qualifications:

Bachelor’s degree and 14 years of experience, with 3+ years of experience in AI/ML engineering, data science, or software engineering within cyber, intelligence, or national security environments.

Salary Range: $201k-$246k (Annually)

The range displayed above is a likely salary range for this position. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possible contractual requirements and could fall outside of this range.

Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications.

Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.

We are an equal employment opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

www.akina-inc.com/careers