ZipRecruiter

Log In

2

Llm Engineer Remote Jobs (NOW HIRING)

Bright Vision Technologies

AI Security Engineer

Troy, MI · Remote

$80K - $105K/yr

AI Security Engineer - Remote Bright Vision Technologies is a technology consulting and software ... Strong understanding of LLM internals, modern AI architectures, and common failure modes. * Hands ...

USM

JB061840 - AI Security Engineer - Remote

$80/hr

Remote * Must have 10+ years of experience in Unix environments. * 7+ years of experience ... NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10 / OWASP Agentic Top 10. • Experience with cloud ...

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · On-site +1

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · Remote

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

EnableComp

Principal Engineer (REMOTE)

Franklin, TN · Remote

Deep expertise in LLM orchestration frameworks and agent architectures. * Experience applying AI to ... Expertise in prompt engineering for specialized domains. * Strong software architecture skills ...

Unframe

Support Engineer (Remote)

New York, NY · Remote

About Unframe Unframe is an AI-first startup helping the world's largest enterprises bring LLM ... About the role We're looking for a Support Engineer to join our team and support large global ...

previous page

Showing results 41-60

All JobsLlm Engineer JobsLlm Engineer Remote Jobs

Llm Engineer Remote information

See salary details

$25

$53

$76

How much do llm engineer remote jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for llm engineer remote in the United States is $53.63, according to ZipRecruiter salary data. Most workers in this role earn between $43.27 and $62.26 per hour, depending on experience, location, and employer.

What is the difference between Llm Engineer Remote vs Data Scientist Remote?

AspectLlm Engineer RemoteData Scientist Remote
Required CredentialsAdvanced degree in CS, ML, or related field; experience with NLP and deep learningDegree in CS, Statistics, or related; experience with data analysis and machine learning
Work EnvironmentCollaborative teams, research-focused, often in tech or AI companiesData analysis, model development, reporting; across various industries
Employer & Industry UsageTech companies, AI startups, research institutionsFinance, healthcare, tech, e-commerce, and more

While both roles involve machine learning, Llm Engineers focus on developing large language models and NLP applications, often requiring deep expertise in AI research. Data Scientists analyze data to inform business decisions, with broader industry applications. The roles share some credentials but differ in focus and daily tasks.

What are some typical challenges faced by remote LLM engineers when collaborating with cross-functional teams?

Remote LLM Engineers often work closely with data scientists, product managers, and software engineers to develop and deploy large language models. One common challenge is ensuring clear and consistent communication across different time zones and technical backgrounds, which can sometimes lead to misaligned project goals or delays. To overcome this, many teams rely on detailed documentation, regular virtual meetings, and collaborative project management tools. Building strong relationships remotely and proactively sharing updates can make collaboration smoother and more productive.

What are the key skills and qualifications needed to thrive as an LLM engineer in a remote role?

To thrive as an LLM Engineer remotely, you need strong expertise in machine learning, natural language processing, and proficiency with programming languages such as Python, often supported by a degree in computer science or related fields. Familiarity with frameworks like PyTorch or TensorFlow, experience with cloud platforms (AWS, GCP), and knowledge of large language model architectures are commonly required. Excellent problem-solving skills, self-motivation, and effective remote communication make candidates stand out. These capabilities are crucial for developing, deploying, and maintaining advanced language models while collaborating efficiently with distributed teams.

What is an LLM engineer?

An LLM Engineer, or Large Language Model Engineer, is a professional who designs, develops, and optimizes applications using advanced AI language models such as GPT-4 or similar technologies. Working remotely, they are responsible for integrating these models into products, fine-tuning them for specific tasks, and ensuring their performance and reliability. LLM Engineers often collaborate with data scientists, software developers, and product managers to create solutions in areas like chatbots, content generation, and natural language processing. Their work requires a strong background in machine learning, programming, and cloud computing.
More about Llm Engineer Remote jobs
What cities are hiring for Llm Engineer Remote jobs? Cities with the most Llm Engineer Remote 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 Llm Engineer Remote jobs? States with the most job openings for Llm Engineer Remote jobs include:
What job categories do people searching Llm Engineer Remote jobs look for? The top searched job categories for Llm Engineer Remote jobs are:
Llm Engineer Remote jobs near you
Infographic showing various Llm Engineer Remote job openings in the United States as of August 2026, with employment types broken down into 33% Part Time, and 67% Contract. Highlights an 100% Remote job distribution, with an average salary of $111,552 per year, or $53.6 per hour.

Machine Learning Infrastructure Engineer

Bright Vision Technologies

Sunnyvale, CA • Remote

$105K - $143K/yr

Full-time

Posted 11 days ago

Job description

Machine Learning Infrastructure Engineer – Remote
Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States.
This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential.
Job Title: Machine Learning Infrastructure Engineer
Location: 100% Remote (U.S.)
Position Type: Full-time, Direct W2
Salary Range: $105,000–$143,000 Annually
Experience Required: 6+ years
Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position.
Job Summary
We are seeking a Machine Learning Infrastructure Engineer to design, build, and operate high-performance, highly reliable inference platforms for serving large machine learning models in production. The role focuses on the systems engineering side of AI deployment, including request routing, batching, caching, autoscaling, GPU utilization, and end-to-end observability across diverse model workloads. The ideal candidate brings strong distributed systems and performance engineering expertise, has shipped serving systems at scale, and understands the trade-offs between latency, throughput, cost, and quality in ML serving.
Required Qualifications
  • Bachelor’s or Master’s degree in Computer Science or a related field.
  • Six or more years of experience in distributed systems, infrastructure, or ML platform engineering.
  • Strong proficiency in Python and a systems language such as Go, Rust, or C++.
  • Deep experience operating high-throughput, low-latency services in production.
  • Hands-on experience with LLM or large model inference frameworks such as vLLM or TensorRT-LLM.
  • Strong understanding of GPU architecture, memory hierarchies, and accelerator utilization.
  • Familiarity with Kubernetes, autoscaling, and modern cloud platforms.
  • Experience with observability stacks including metrics, tracing, and structured logging.
  • Solid grounding in performance engineering and capacity planning.
  • Strong communication and incident response skills.
Preferred Qualifications
  • Open-source contributions to model serving infrastructure.
  • Experience with multi-region or globally distributed AI serving.
  • Familiarity with model quantization, distillation, and compression techniques.
  • Exposure to FinOps for AI workloads and cost-efficient serving design.
  • Experience supporting external-facing AI APIs at scale.
How to Apply
Would you like to know more about this opportunity? For immediate consideration, please send your resume to hilda@bvteck.com.
Bright Vision Technologies is an Equal Opportunity Employer.

Equal Employment Opportunity (EEO) Statement

Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall.

BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees\' ability to perform their job duties may result in disciplinary action up to and including termination of employment.

Apply