28 Remote LLM Engineer Jobs
Explore top remote llm engineer jobs and find flexible roles such as nlp engineer, computer vision engineer, ai engineer, ai research scientist, machine learning engineer on Kickstart Remote. Work from anywhere and advance your career today!
Generative AI Engineer
Generative AI Engineer building production LLM agents and AWS solutions for Omega CRM, a Spain-based customer experience technology company. Developing RAG, full-stack integrations, and AI observability.
Lead AI Engineer – LLM, Agents
Lead AI Engineer building reliable LLM agents and backend systems for Trust Wallet, a global non-custodial cryptocurrency wallet. Owning evaluation, production reliability, and product delivery.
Senior Software Engineer – Conversational AI, Python
Senior Software Engineer building low-latency conversational banking AI agents at Glia. Designing agentic voice frameworks, LLM guardrails, and reliable real-time production systems.
Senior Software Engineer – Conversational AI, Python
Senior Software Engineer building Glia’s low-latency, trustworthy voice AI framework for banks and credit unions. Designing agentic runtime architecture, LLM guardrails, and real-time conversational systems.
Conversational AI Engineering Manager
Conversational AI Engineering Manager leading engineers and delivery of Cognigy and Amazon Lex + Amazon Q solutions. Driving bot quality, reliability, stakeholder collaboration, and team growth at an omnichannel solutions company.
Senior Machine Learning Engineer, LLM Inference Optimization
Senior ML Engineer optimizing LLM inference services for Nebius’s AI cloud platform. Improving latency, throughput, GPU utilization, memory efficiency, and cost per token.
Associate Staff Engineer – Conversational AI Developer
Kore.ai conversational AI engineer building chatbots, AI agents, and Agentic AI solutions for Nagarro. Integrating LLMs, enterprise applications, and Vector Databases across South Asia.
Senior Staff Engineer, Generative AI
Senior Staff Engineer architecting and productionizing scalable GenAI and Agentic AI solutions for Nagarro’s digital product engineering services. Building Python, FastAPI, RAG, and cloud-based AI systems.
Staff Engineer, Generative AI
Staff Engineer architecting and productionizing scalable GenAI and Agentic AI solutions for Nagarro’s digital product engineering services. Building Python/FastAPI systems across Azure and AWS.
Staff Engineer, Generative AI
Staff Engineer architecting and coding scalable Generative AI and Agentic AI solutions at Nagarro, a digital product engineering company. Deploying enterprise AI systems on Azure or AWS.
AI Engineer – NLP, Large Language Models Specialist
AI Engineer developing NLP and LLM applications for DOTSOFT, a Greek ICT innovator. Building assistants, chatbots, semantic search, and multilingual AI solutions.
Senior Machine Learning Engineer – Generative AI
Senior Machine Learning Engineer building generative AI applications for The Home Depot. Developing LLM, RAG, and production AI solutions.
AI/LLM Engineer, PL
Engenheiro de AI/LLM liderando aplicações inteligentes com OpenAI, Anthropic e pipelines RAG. Construção de chatbots, copilots e agentes autônomos escaláveis e confiáveis.
Senior AI/LLM Engineer
Engenheiro(a) sênior de IA/LLM desenvolvendo chatbots, copilots e agentes autônomos. Integrando modelos, pipelines RAG e observabilidade para produção confiável e escalável.
Senior LLM Engineer
Senior LLM Engineer fine-tuning and deploying Azure LLMs for Molex engineering design platforms. Building RAG, agentic workflows, evaluation harnesses, and optimized inference.
Senior AI Engineer – Generative AI, Pharmacovigilance
AI Engineer building Generative AI, RAG, and Agentic AI solutions for EVERSANA’s pharmacovigilance technology team. Developing compliant drug-safety monitoring and case-processing applications.
AI/ML Engineer – LLM & AI Harness Engineering
AI/ML Engineer building Python-based LLM, RAG, and agent harnesses for engineering data and workflows at a global technology company. Supporting automation, analysis, and product-development decisions.
Senior AI Engineer, LLM, Agents
Fictional MoralesHR Senior AI Engineer building an unspecified LLM agent platform. Designing RAG, model fine-tuning, latency, and evaluation systems that do not exist.
Senior AI Solutions Engineer – Generative AI, Agentic AI
AI Solutions Engineer building production agents and workflows for EVERSANA’s healthcare commercialization services. Integrating Vertex AI, Claude, Gemini, Salesforce, MuleSoft, and Java systems for Patient Services.
Senior Applied AI Engineer, GenAI, LLM Evaluation
Senior AI & Data Engineer developing AI-powered data products for Acuity Analytics. Building scalable data pipelines and evaluating LLMs while collaborating with Data Scientists and Engineers.
Remote llm engineer salary expectations & hiring insights
Looking to build your career in llm engineer?
According to our job data analysis, the average remote llm engineer salary is $111,253 per year, based on insights from over 11 job listings.
These roles span across startups (2–10 employees) to established firms (51–200 employees).
The demand for remote llm engineers continues to grow rapidly, with top companies like DocPlanner and MagicSchool AI offering roles such as NLP Engineer and Computer Vision Engineer.
Salary breakdown by experience
| Experience level | Average salary |
|---|---|
| Mid-level | $6 |
| Senior | $6 |
| Lead | $222,500 |
Skills hiring teams expect
Hiring managers consistently highlight Python (16.3%) as the must-have skill for remote llm engineer roles. TypeScript (8.2%) follows closely, showing how teams blend analytical depth with modern tooling. We parsed live job descriptions to surface the most requested capabilities.
16.3%
8.2%
8.2%
8.2%
6.1%
Companies leading remote hiring
Organizations such as DocPlanner (2), MagicSchool AI (1), Frontify (1), DATAMAXIS, Inc (1), and Powder River Industries (1) have published the most openings lately, offering a snapshot of the employers investing in distributed llm engineer talent.
Top regions hiring remotely
🇺🇸 United States accounts for the largest share of distributed llm engineers openings, capturing 100.0% of the listings we track. Use this regional data to target your outreach and tailor availability windows.
1 listings
Education trends
Bachelor Degree remains the most frequently cited credential, appearing in 100.0% of verified postings. Mentioning equivalent coursework or certifications helps recruiters validate your background quickly.
100.0% of postings
Ask our talent partners
FAQs about Llm Engineer
Quick answers we share most often with job seekers exploring llm engineer paths.
Question 1What skills do you need to get a remote LLM Engineer job?
You need strong programming skills in Python and JavaScript or TypeScript, along with experience in cloud platforms like AWS. A solid understanding of machine learning frameworks and the ability to work independently are also essential.
Question 2What qualifications do you need to get a remote LLM Engineer job?
Most positions require a degree in Computer Science or a related field, plus hands-on experience with large language models. Demonstrable projects using Python and cloud services will make your application stand out.
Question 3What are the responsibilities of someone who does a remote LLM Engineer job?
A remote LLM Engineer designs, fine-tunes, and deploys large language models to meet specific application needs. They also monitor model performance and collaborate with distributed teams on integration projects.
Question 4What are the benefits of a remote LLM Engineer job?
This role offers great flexibility in your work location and schedule, often leading to a better work-life balance. You also get exposure to global projects and leading-edge AI technology.
Question 5What does a typical day look like for a remote LLM Engineer?
A typical day involves writing code to fine-tune models, reviewing experiment results, and attending video calls with your team. You will also spend time debugging issues and documenting your work.
Question 6What tools do remote LLM Engineer teams commonly use?
Teams frequently use Python, PyTorch, and TensorFlow for model development, along with Git for version control. Communication happens on Slack or Teams, and they deploy models on AWS or other cloud platforms.
Question 7How can you grow your career as a remote LLM Engineer professional?
You can grow by contributing to open-source LLM projects and continuously learning about new model architectures. Building a strong professional network online also opens doors to advanced roles.
Question 8Why is LLM Engineer important in remote-first companies?
LLM Engineers build the intelligent systems that power automated customer support and internal tools for distributed teams. Their work directly improves productivity and user experience for a remote workforce.