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Director Llm Engineer Jobs (NOW HIRING)

Immortals

Director/Sr. Director, Discoverability

$175/hr

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 ...

Socket.dev

Director, AI Engineering

Manhattan, NY · On-site

$200 - $230/hr

Directing the build of robust agent harnesses -- orchestration layers, evaluation frameworks ... Strong expertise in generative AI/LLM engineering -- context engineering, agent harnesses, RAG, and ...

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How much do director llm engineer jobs pay per hour?

As of Aug 21, 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.

GenAI Engineer (LLM Applications & RAG Architecture) - Q3-2026

R2 Technologies Corporation

Alpharetta, GA • On-site

Full-time

Posted 10 days ago

Job description

Overview:
About R2 Technologies: R2 Technologies is a Certified Minority Business Enterprise (MBE) headquartered in Alpharetta, GA. With over two decades of experience across global markets, we provide IT staffing and digital product engineering services to clients ranging from startups to Fortune 1000 companies. In addition to talent services, R2 develops proprietary solutions including SmartEnt, an enterprise AI and IoT intelligence platform. We work closely with our clients to deliver technology outcomes that are realistic, measurable, and impactful.
Job Summary: Most enterprises have proven that LLMs work in a demo-far fewer have gotten them into production. R2 Technologies is seeking a GenAI Engineer to close that gap. You will design and build LLM-powered applications on enterprise data: document ingestion and structured extraction pipelines, retrieval-augmented generation architectures, prompt and orchestration layers, and the backend services that expose them to business users. This role supports client engagements across financial services, healthcare, and retail, as well as our internal SmartEnt platform.
Key Responsibilities:
  • Design and develop production LLM applications, including chatbots, copilots, document intelligence, and summarization workflows.
  • Build end-to-end RAG pipelines covering document ingestion, chunking strategy, embedding generation, hybrid retrieval, and response grounding.
  • Develop and optimize prompt engineering workflows and LLM service orchestration layers across multiple model providers.
  • Integrate foundation models through Amazon Bedrock, Azure OpenAI, and direct LLM APIs, with routing logic for cost and latency optimization.
  • Build scalable Python backend services and REST APIs that expose GenAI capabilities to enterprise applications.
  • Evaluate model output quality through structured testing, hallucination detection, and response benchmarking against gold datasets.

Qualifications:
  • 3 years of experience in software engineering, AI/ML, or applied LLM development.
  • Advanced programming skills in Python, with additional experience in Node.js, Java, or TypeScript.
  • Hands-on expertise with Amazon Bedrock, Azure OpenAI, or direct integration with LLM APIs and model services.
  • Proven experience designing RAG architectures using vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Azure AI Search.
  • Strong knowledge of embeddings, prompt engineering, chunking strategies, and model evaluation techniques.
  • Experience building REST APIs and microservices, with working knowledge of SQL and NoSQL databases and cloud deployment on AWS, Azure, or GCP.

Skills:
NODE.JS,PYTHON,AZURE,JAVA,AI,DATABASES,NOSQL,SQL,TYPESCRIPT,AWS

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