> Markdown version of [/jobs/ext/2101757-llm-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2101757-llm-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # LLM Engineer (Remote) - **Company:** Cognizant Technology Solutions Corporation - **Location:** Lansing, MI, United States (Remote available) - **Experience:** Experienced - **Salary:** $81,337.0 - $141,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Application Lifecycle Management, Cloud Computing, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Software Engineering, AI Infrastructure, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Machine Learning Operations, Virtual Agents - **Published:** August 18, 2026 - **Apply:** https://dejobs.org/x/x/35B735FB1BE04F4883B47C09B38A4D76/job/ ## About the Role * 7+ years of experience in Software Engineering, AI Engineering, Machine Learning Engineering, Platform Engineering, or a related technical discipline. * 2+ years of hands-on experience developing and deploying Generative AI, LLM, SLM, or Agentic AI solutions in production environments. * Experience building enterprise-grade AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, APIs, and cloud or on-premises platforms. * Strong understanding of model fine-tuning, adaptation, evaluation frameworks, and AI quality measurement methodologies. * Proficiency in machine learning development, model deployment, and MLOps best practices. * Experience working with Python and modern AI/ML frameworks and tools. These will help you stand out * Knowledge of AI infrastructure, GPU optimization, and large-scale model serving. * Experience implementing model governance, responsible AI, and evaluation frameworks. * Familiarity with vector databases, embedding models, and advanced RAG architectures. * Experience building enterprise AI platforms, multi-agent systems, or agent orchestration frameworks. ## Description As LLM Engineer , you will make an impact by designing, building, optimizing, and deploying Large Language Model (LLM) and Small Language Model (SLM) solutions that power the enterprise Agent Factory. You will be a valued member of the AI Engineering team and work collaboratively with data scientists, platform engineers, product teams, and business stakeholders to deliver scalable, production-ready generative AI capabilities. In this role, you will: * Design, build, fine-tune, deploy, and optimize LLM and SLM solutions for enterprise-scale use cases. * Develop and maintain supervised fine-tuning, model adaptation, and evaluation pipelines. * Apply advanced model optimization techniques including LoRA, QLoRA, distillation, quantization, and model compression to improve performance and efficiency. * Assess commercial, open-source, and internally hosted foundation models based on quality, cost, scalability, and operational requirements. * Collaborate with cross-functional teams to support domain-specific AI solutions using approved enterprise datasets and best practices for responsible AI. Work model: We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a remote position open to qualified applicants in Louisville, KY. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. 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