65 large language model engineer jobs at 41 companies in United States
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Large Language Model Architect
Bengaluru or United States
OnsiteFull Time
AccentureNYSE: ACN: Global professional services delivering 360° value.
7.5+ YOE7.5+ years experience; expertise in Large Language Models (LLMs), Virtual Agents, Generative AI; strong software engineering, compliance and governance experience; 15 years full-time education.
Large Language Models (LLMs), Virtual Agents, Generative AI
AccentureNYSE: ACN: Global professional services delivering 360° value.
7.5+ YOERequires 7.5+ years of experience, 15 years of full-time education, strong software engineering fundamentals, and experience with audit logging, workflow, policy enforcement, compliance, or state machine systems.
Large Language Models (LLMs), Generative AI, Virtual Agents
Large Language Model Training System Engineer Graduate (Applied Machine Learning) - 2027 Start
San Jose, California, United States
OnsiteFull Time
Volcengine: -owned cloud and AI services platform providing enterprises with cloud infrastructure, data, AI, and digital transformation tools.
Bachelor's or master's degree in computer science or related field, proficiency in Python, Rust, or C++, and experience with training framework design or system optimization preferred.
CACINYSE: CACI: Provider of specialized IT and mission-critical government services.
10+ YOETS/SCI with adjudicated polygraph, bachelor's degree in a related field, 10+ years of experience, 2+ years building LLM applications, team leadership, Python, and machine learning expertise.
CACINYSE: CACI: Provider of specialized IT and mission-critical government services.
10+ YOEActive TS/SCI with adjudicated polygraph, bachelor's degree, 10+ years of experience, and 2+ years building LLM applications. Requires team leadership, Python, and machine learning expertise.
AppleNASDAQ: AAPL: Designing and manufacturing consumer electronics, software, and digital services.
Senior engineer needed to build and integrate large language models into Apple's software ecosystem and cloud infrastructure supporting Apple Intelligence and Private Cloud Compute.
Pypestream: Enterprise AI software serving large businesses with chat and voice agents that automate customer service end-to-end.
Build inference infrastructure, own model evaluation pipelines, optimize latency, and integrate orchestration engines with frontier large language models.
Crusoe: Vertically integrated AI infrastructure and energy.
Senior production engineer with distributed systems experience, hands-on with large language models, SRE mindset, and strong programming skills (Python, Go, Java, or C++), Kubernetes knowledge, and collaborative skills.
LenovoHKSE: 992: Global technology delivering Smarter Technology for All.
Develop, fine-tune, and deploy large language and multimodal AI models; strong Python and ML framework experience; advanced degree in CS/AI/ML or equivalent.
New York City or London or Palo Alto or Copenhagen or Seoul
$300k-$400k/yrOnsiteFull Time
Normal Computing: Applied AI and silicon hardware/software serving semiconductor design and manufacturing institutions.
Deep knowledge of large-model inference, stochastic systems, and numerical methods; experience implementing algorithms on real hardware; strong Python and systems-language programming skills.
NVIDIA 2027 Internships: Ph.D. Research Large Language Models
Santa Clara, California, United States
$38-$94/hrOnsiteInternship
NVIDIANASDAQ: NVDA: Computing platform for AI and accelerated graphics.
Actively pursuing a Ph.D. in computer science, electrical engineering, or a related field through the internship; research publications, communication, collaboration, and relevant programming or AI model experience required.
SpotifyNew York Stock Exchange: SPOT: Public Luxembourg-domiciled audio streaming service providing music, podcasts, audiobooks, and advertising-supported listening globally.
5+ YOE5+ years of production ML experience; strong background with large language models and conversational/agentic systems; ability to design metrics and evaluation pipelines; reliable, scalable ML systems; cross-functional collaboration.
DocuSignNASDAQ: DOCU: Provides intelligent agreement management and e-signature software solutions.
5+ YOE5+ years software engineering, distributed systems, backend architecture, ML model deployment, Python plus another typed language, Kubernetes, Kafka/Service Bus, large-scale systems, SLAs/SLOs
Python, Kubernetes, Kafka, Service Bus, Temporal, Ray, Spark, Azure, GCP, Model serving, infrastructure as code
AI Fund: AI Fund is a privately held venture studio that-founds early-stage artificial-intelligence companies with entrepreneurs and partners.
3+ YOE3+ years software engineering experience with end-to-end ownership of production AI applications, experience with large language or multimodal models, SQL/NoSQL, frontend/backend/cloud, retrieval and agentic systems, and strong communication.
large language models, multimodal models, SQL, NoSQL, APIs, cloud infrastructure
Palantir TechnologiesNYSE: PLTR: Builds software that empowers organizations to integrate and analyze data.
2+ YOE2+ years software engineering experience; proficiency in Python, Java, C++, TypeScript/JavaScript; hands-on experience using Large Language Models (LLMs); strong cross-functional collaboration and communication skills.
Python, Java, C++, TypeScript, JavaScript, Large Language Models (LLMs)
Hearst Newspapers: Private U.S. newspaper group operating daily and weekly publications, news sites, marketing services, directories, and syndication businesses.
Experience with large language models and ASR, prompt engineering, agentic systems, APIs and scripting (Python, JavaScript); training and communication skills; commitment to ethical journalism.
large language models, automatic speech recognition models, APIs, Python, JavaScript
Relativity Space: Aerospace developing 3D-printed rockets and launch services.
Bachelor's degree or higher in computer science or related engineering field; strong computer science foundations and hands-on large language model experience. 1+ years' experience is preferred, not required.
Transluce: Independent nonprofit AI research lab building open tools for public oversight and scalable evaluation of AI systems.
Experience fine-tuning language models, designing architectures, creating evaluations, strong programming, experimental design, and communication; ability to scale training/inference for very large models.
SWE-bench, predictive concept decoders, user model extractors
Anthropic: AI research developing safe and steerable AI systems.
Experience training and evaluating large language models, Python proficiency, building large-scale data pipelines, strong communication and independent collaboration skills; bachelor’s degree or equivalent required.