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Professional Llm Developer Jobs (NOW HIRING)

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

LLM Platform Engineer

San Francisco, CA · On-site

$245K - $345K/yr

Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable ... Professionalism around collaborating in a remote working environment and well‑tested ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Data Engineer (Starlink)

Hawthorne, CA · On-site

$145K - $175K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Data Engineer (Starlink)

Bastrop, TX · On-site

$113K - $136K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

$145K - $175K/yr

Professional experience supporting sales, sales ops, channel/reseller, or revenue operations ... comparable LLM developer tooling is a plus * Experience with agent evaluation, guardrails ...

$100K - $120K/yr

... Full Time Professional US 1 Attachments Salary Range: $100,000.00 To $120,000.00 Annually ... The Staff Engineer, AI/LLM Platform will be the senior applied engineer on the AI side of a small ...

Showing results 41-60

Professional Llm Developer information

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$79

How much do professional llm developer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for professional llm developer in the United States is $50.17, according to ZipRecruiter salary data. Most workers in this role earn between $39.42 and $60.82 per hour, depending on experience, location, and employer.

What is a professional LLM developer?

Professional LLM Developers are software engineers or specialists who design, build, and optimize applications and systems that leverage large language models (LLMs) like GPT-4, Claude, or similar AI models. Their work often involves integrating LLMs into products, fine-tuning models for specific tasks, ensuring safe and ethical AI use, and improving performance. They may also create tools and frameworks that facilitate the deployment and scaling of LLM-powered applications. Their expertise combines software development, machine learning, and natural language processing.

What are the key skills and qualifications needed to thrive as a professional LLM developer?

To thrive as a Professional LLM Developer, you need expertise in machine learning, natural language processing, and strong programming skills in languages like Python, often supported by a degree in computer science or related fields. Familiarity with deep learning frameworks (such as PyTorch or TensorFlow), experience with large language model architectures, and knowledge of cloud platforms are typically required, along with certifications like TensorFlow Developer or AWS Certified Machine Learning. Strong problem-solving abilities, teamwork, and effective communication distinguish top performers in this role. These skills ensure the development, fine-tuning, and deployment of robust LLM solutions that meet business and technical needs.

What are some common challenges faced by professional LLM developers when deploying large language models in production environments?

Professional LLM Developers often encounter challenges such as optimizing model performance to balance accuracy with computational efficiency, managing latency for real-time applications, and ensuring data privacy and security. Additionally, integrating LLMs with existing systems and maintaining model versioning can be complex. Collaboration with cross-functional teams, such as data engineers and product managers, is essential to address these challenges and ensure the successful deployment and ongoing maintenance of LLM-driven solutions.

What is the difference between Professional Llm Developer vs Machine Learning Engineer?

AspectProfessional Llm DeveloperMachine Learning Engineer
CredentialsTypically requires advanced degrees in AI, NLP, or related fields; certifications in AI/MLOften holds degrees in computer science, data science, or engineering; certifications in ML frameworks
Work EnvironmentFocuses on developing and fine-tuning large language models, often in research or specialized AI teamsDesigns, builds, and deploys ML models across various applications, in industry or tech companies
Industry UsagePrimarily in AI research, NLP, and companies developing LLM-based productsUsed across tech, finance, healthcare, and other sectors for predictive modeling and automation

While both roles involve AI and machine learning, a Professional Llm Developer specializes in large language models and NLP, whereas a Machine Learning Engineer works on a broader range of ML applications and models across industries.

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States with the most job openings for Professional Llm Developer jobs include:

What are popular job titles related to Professional Llm Developer jobs?

For Professional Llm Developer jobs, the most frequently searched job titles are:

Infographic showing various Professional Llm Developer job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $104,344 per year, or $50.2 per hour.

Principal Enterprise Data Platform Architect

Mentor, OH • On-site, Remote

Avery Dennison
Plastics Packaging Film and Sheet (including Laminated) Manufacturing • 10K+ employees

$141K - $211K/yr

Full-time

Medical, Retirement, PTO

Posted 27 days ago


Key responsibilities

  • Define, architect, and evolve Avery Dennison's enterprise 10-Layer Data & AI Operating System across multi-cloud environments.

  • Design and deploy the centralized Metadata Control Plane, automated Data Catalog, and govern enterprise AI infrastructure standards.

  • Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent and partnering on technical career development.


Avery Dennison rating

8.9

Company rating: 8.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz


Job description

Company Description

Why join Avery Dennison

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com.

Benefits

At Avery Dennison, some of the great benefits we provide are:

  • Inclusive Healthcare: Access to our large network of medical and behavioral health professionals.

  • 401(k) Retirement Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.

  • Medical Insurance: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.

  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description

About the role

As the Principal Enterprise Data Platform Architect, you will serve as the technical lead and pillar head for Data Platform Engineering within the Data Excellence & AI Foundations organization. Reporting directly to the Director of Data Excellence & AI Foundations, you will be responsible for defining, architecting, and evolving Avery Dennison's enterprise 10-Layer Data & AI Operating System. In this role, you will lead the technical transition from legacy ETL pipelines toward a modern, high-code Platform Engineering practice grounded in GitOps, Data-as-Code, declarative management, and automated metadata control planes while mentoring and elevating internal engineering talent.

Key Responsibilities

Position Location: Remote

  • Own the global architecture blueprint and technology decision trees for Avery Dennison's enterprise analytical and AI platforms, architecting the 10-Layer Modern Data Operating System across multi-cloud environments (OCI, GCP, Azure).

  • Architect and deploy the centralized Metadata Control Plane and automated Data Catalog, coordinating schema tracking, lineage graphs, data quality observability, GitOps methodologies, reusable developer toolboxes, and context-as-code for LLM reasoning.

  • Design and govern enterprise AI infrastructure standards, including Vector Databases, Knowledge Graphs, Feature Stores, and RAG pipelines for corporate Gemini LLM solutions and autonomous AI agents with deterministic verification mechanisms.

  • Design and enforce the Universal Security Model incorporating Attribute-Based Access Control (ABAC), fine-grained masking, and Okta/Active Directory identity integration, while implementing SRE-style observability for platform health, latency, query performance, and compute costs.

  • Serve as Pillar Lead for the Data Platform Engineering squad, guiding and mentoring technical talent across pipeline, data, analytics, AI/LLM, DevOps, and APEX engineering while partnering with HR on technical career progression tracks and competency matrices.

Qualifications

Qualifications

  • Master's or Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related quantitative field with 10+ years in enterprise data architecture, platform engineering, or cloud infrastructure design (including 3+ years leading technical teams in a global enterprise context).

  • Expert technical proficiency in multi-cloud environments (OCI, GCP, Azure), Oracle ADW (23c/26ai), Databricks, and Apache Iceberg or Delta Lake table formats.

  • High-code data engineering mastery in Python, SQL, Apache Airflow, Kafka/Confluent streaming, Change Data Capture (CDC / GoldenGate), Docker, Kubernetes, Terraform, and GitOps CI/CD deployment pipelines (GitHub Actions/GitLab CI).

  • Direct experience architecting enterprise AI/ML infrastructure, including Vector DBs, Knowledge Graphs, Feature Stores, RAG pipelines, and enterprise LLM integrations (Gemini).

  • Strong strategic leadership and communication skills with a proven track record of mentoring technical talent, establishing Universal Security Models (ABAC, RLS, Okta/AD), and presenting complex architectural blueprints to executive sponsors (VP/CIO).

Additional Information

Pay Transparency

The salary range for this position is $141,825 - $211,792 / year.

The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Equal Opportunity Employer

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.

Reasonable Accommodations Notice

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or [email protected] to discuss reasonable accommodations.

Identity Verification Notice

To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.

Pre-employment Screening Notice

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.


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