> Markdown version of [/jobs/ext/2535718-llm-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2535718-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:** Topeka, KS, United States (Remote available) - **Experience:** Experienced - **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, Prompt Engineering, Generative AI, Machine Learning Operations, Virtual Agents - **Published:** August 18, 2026 - **Apply:** https://www.kansasworks.com/jobs/13642452 ## 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 serv ## 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. **_*Please note that this position is not eligible for visa transfer or sponsorship now or at any time in the future*_** ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? 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