LLM Engineer

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

Role: Technical Lead

Industry Type: Analytics / KPO / Research

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development

Education

UG: B.Tech/B.E. in Any Specialization