LLM Engineer

Job Description

Role Purpose A result-oriented Software Developer to develop solutions powered by Fujitsus new processor, which help solve real-world challenges facing society and businesses across different industries. As a software developer, you are passionate about developing solutions and should be comfortable with back-end coding languages, technologies, frameworks and third-party/opensource libraries. You will play a role in developing innovative advanced solutions and services to support business outcomes. Responsibilities Improve and analyze performance of Generative AI & LLM software applications. Enable and optimize OSS/ISV applications for Fujitsus new processor, starting with LLM-related applications. Develop new algorithms for ML/DL frameworks, tuning technologies and work on software based on the proposed approaches using AI framework engineering. Improve and analyze performance of Generative AI & LLM Models for inferencing and fine tuning. Deploying and Testing applications to ensure functionality, performance, responsiveness, and efficiency. Creating test cases, test plans and automated test scripts for unit tests Troubleshooting, debugging, and fixing bugs and upgrading software/applications. Creating security and data protection settings and measures Writing technical documentation Working and communicating well with product managers, business analysts, and data scientists, and other software developers to collaborate, review and deliver high quality applications. Learning continually, sharing knowledge, and fostering exchange of skills Working using agile methods (planning meetings, review meetings, standup meetings, development, etc.) Working on multiple projects at once while keeping focused on project timeline Experience You will be able to demonstrate that you have: Experience with Generative AI, LLM, PEFT, LoRA, QAT, RAG, compression, quantization, SLLM Minimum 5 years experience in SW development, Deep Learning & AI Frameworks. Proficiency with fundamental back-end server-side languages such as Python & C++ ( preferably C++ ). Knowledge of LLM Fine tuning & training techniques (PEFT, LoRA, QAT etc. are preferred) Knowledge and experience related to RAG & RLHF Techniques. Experience with Deep learning frameworks such as PyTorch, TensorFlow & JAX. Experience with Image Generation & Large Multimodal models. Knowledge in neural compression & quantization techniques such as pruning & knowledge distillation. Preferred experience in AI framework or accelerators, performance tuning & optimization techniques Preferred Experience You will be able to demonstrate that you have: Experience in developing and deploying APIs. Knowledge and experience in Cloud service (Azure/AWS) features such as Functions, VM, Container, DevOps (CI/CD) Great skills in evaluating performance and security of software applications and delivering solutions which are efficient and performant. HPC and computer architecture understanding. Skills in AI-related technologies