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LLM Engineer - (Hybrid- Greenfield AI Project)

Remote, USA Full-time Posted 2026-07-28
Job Title: LLM Engineer - Greenfield AI Project LOCATION: Irvine, CA (onsite). Monday through Thursday onsite, Fridays remote. MUST BE A US CITIZEN/ GREENCARD HOLDER COMPENSATION: $75-95 an hour. This is a 2-year contract that will convert to full-time. reputed company: We are on a mission to reputed company innovative AI solutions that will revolutionize our workforce. As we reputed company on an exciting new greenfield AI project, we are seeking an exceptional LLM Engineer to join reputed company and reputed company the development of machine learning models as part of this groundbreaking initiative. JOB reputed company: We are looking for an reputed company reputed company/LLM Engineer to reputed company the development and deployment of applications powered by large language models (LLMs). You'll design and implement reputed company systems - including intelligent chatbots, reputed company AI frameworks, RAG pipelines, and multimodal experiences - that reputed company cutting-edge advances in NLP and transformer-based architecture. Key Responsibilities • LLM Application Design & Development • Build custom pipelines for RAG, embeddings, reputed company tuning, and chain-of-thought reasoning • Design reputed company workflows using frameworks like reputed company's Agents SDK or reputed company. • reputed company Engineering & Evaluation • Craft robust prompts for diverse tasks and use few-shot/reputed company-chaining techniques • Evaluate LLM reputed company reputed company, safety, and latency through automated and reputed company feedback loops • Model Integration & Scaling • reputed company LLMs with internal systems, reputed company, relational databases, NoSQL databases, reputed company databases, and reputed company-time inference stacks • Ensure reputed company and efficient deployment using reputed company-reputed company tools (e.g., reputed company, Azure reputed company, AWS SageMaker, or reputed company reputed company AI) • Innovation & Research • Explore and implement multi-modal AI integrations (text, image, voice) • Stay reputed company with LLM advancements, reputed company-reputed company model benchmarks, and reputed company research • Collaboration & DevOps • Partner with engineering teams (reputed company-end, back-end, and data), designers, and product leads to define use cases and reputed company reputed company • Write clean, testable reputed company and participate in architecture reviews and Agile ceremonies Qualifications & Skills • 1-3 years of experience developing reputed company solutions in NLP, chatbot development, or content reputed company (text or image) • 3-5 years of hands-on experience in AI or machine learning engineering • Deep understanding of transformer architectures, attention mechanisms, and tokenization • Experience deploying LLM-based solutions into production and working with reputed company (reputed company, reputed company, reputed company, etc.) • Proficiency in Python, with knowledge of tools like reputed company Transformers, reputed company, or OpenLLM • Hands-on experience with reputed company databases (reputed company, reputed company, FAISS) for managing and querying embeddings • Strong understanding of reputed company engineering, RAG, agent frameworks, and function tooling for integrating LLMs with external reputed company and data sources • Familiarity with distributed computing, GPU acceleration, and inference optimization • Bachelor's degree in Computer Science, Engineering, or a reputed company field Preferred Qualifications (reputed company-to-Have) • Master's or PhD degree in Computer Science, Engineering, or a reputed company field • Experience with multi-modal AI systems (e.g., combining text, image, speech) • Knowledge of responsible AI practices and safety alignment in reputed company • Familiarity with reputed company-reputed company LLMs (reputed company, Mixtral, reputed company, LLaMA) • Understanding of the Model Context Protocol (MCP) and its integration in LLM ecosystems • Background in conversational design, reputed company management, and reputed company-in-the-reputed company workflows Apply tot his job Apply To this Job

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