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Director Llm Engineer Jobs (NOW HIRING)

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

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 ...

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

... 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 ...

... 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 ...

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

... 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 ...

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Director Llm Engineer information

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How much do director llm engineer jobs pay per hour?

As of Aug 1, 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $121,086 per year, or $58.2 per hour.

Generative AI Engineer (LLM Expert - AWS Focus)

Saviance

Remote

Full-time

Re-posted 28 days ago


Job description

Job Summary:
BigRio is a Boston-based, remote-first technology consulting firm specializing in advanced data, cloud, and software engineering solutions. They are seeking a hands-on Generative AI Engineer (LLM Expert) who combines strong AWS development experience with deep expertise in applied LLM engineering, focusing on building, shipping, and scaling LLM applications using OpenAI models and AWS infrastructure.
Responsibilities:
• Design, develop, and deploy AWS-based applications (Lambda, API Gateway, ECS, RDS, S3, Secrets Manager) that integrate LLM-powered features.
• Implement OpenAI-driven workflows, leveraging reasoning and non-reasoning models, temperature settings, and model versioning best practices.
• Apply prompt engineering and prompt chaining techniques to improve LLM accuracy and performance for production workloads.
• Build retrieval-augmented generation (RAG) pipelines using LangChain, ChromaDB, or similar frameworks.
• Develop FastAPI or Flask-based backends that connect to OpenAI APIs and vector databases.
• Build interactive front-ends and tools using Gradio or Streamlit for rapid prototyping and testing.
• Ensure secure, containerized deployments using Docker and integrate SSO and role-based access controls.
• Automate data pipelines and document workflows via Google Drive, AWS SDKs, or REST APIs.
• Write production-grade Python code, following clean architecture, documentation, and CI/CD best practices.
• Collaborate closely with AI engineers, DevOps teams, and clients to deliver enterprise-ready LLM applications.
Qualifications:
Required:
• 5+ years of experience in professional software development, with a strong focus on AWS cloud and backend systems.
• 3+ years of direct experience working with OpenAI APIs, GPT models, and LLM application development.
• Proven ability to build and deploy LLM-powered applications, not just experiment with models.
• Knowledge of vector databases like Pinecone or FAISS is required.
• Expertise in Python, FastAPI, and API-driven architecture.
• Strong practical experience with LangChain, ChromaDB, RAG, and prompt engineering.
• Proficiency in Docker, AWS IAM, and secure deployment practices.
• Excellent communication skills — ability to explain LLM behavior, tradeoffs, and reasoning clearly to both technical and non-technical teams.
• Comfortable working independently in a fast-paced, client-facing environment across time zones.
Preferred:
• Experience with LangGraph or other LLM orchestration frameworks.
• Familiarity with MLOps, CI/CD pipelines, and observability for LLM workloads.
• Exposure to healthcare, biotech, or regulated data environments.
• Demonstrated experience explaining and documenting AI system design and decision-making for non-AI stakeholders.
Company:
Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. Founded in 1999, the company is headquartered in Metuchen, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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About Saviance

Sourced by ZipRecruiter

Saviance is a modern consulting firm providing a variety of professional services to its clients in the US. We bring twenty three years of experience to the table. Our consultants are qualified experts and extremely talented. We understand the business behind the technology, and work with many of the top Fortune 100 companies and provide innovative, scalable, robust and secure solutions. At the forefront of the Staffing and IT Solutions industry, Saviance is certified by NMSDC as a Tier 1, Minority Business Enterprise (MBE) . We are a self- certified Small Business and self- certified Woman Owned Business committed to maximizing global workforce solutions on behalf of our clients, empowering businesses and talent through applied human intelligence. We are a Diversity Supplier with global reach specializing in a business services blend of talent, technology, and a relentless commitment to customer success. It’s our diversity that’s acts as a core component of our culture, our approach to business, and the opportunities we provide to our clients and our employees.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

East Rutherford, NJ, US

Year founded

1999

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