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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Applied Scientist II - Gen AI & LLM, PXT - **Company:** Amazon.com, Inc. - **Location:** Seattle, WA, United States - **Experience:** Experienced - **Salary:** $142,800.0 - $193,200.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Business Software, C++ (Programming Language), Program Optimization, Data Mining, Distributed Systems, Python (Programming Language), Machine Learning, Parsing, Azure Machine Learning, Software Deployment, High Performance Computing, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Information Technology, Low Latency, Machine Learning Operations, GPT - **Published:** May 14, 2026 - **Apply:** https://dejobs.org/x/x/1BC0177DD95546A2BD9ACA643252FDF7/job/ ## About the Role * 3+ years of building models for business application experience * PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience * Experience in patents or publications at top-tier peer-reviewed conferences or journals * Experience programming in Java, C++, Python or related language * Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, * PhD in computer science, machine learning, engineering, or related fields * 2+ years of hands-on experience with foundation models and LLM applications (prompt engineering, RAG, fine-tuning, RLHF, Transformer models, and AI Agents) * Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, Lambda, etc.) * Publications in top-tier conferences (NeurIPS, ICML, ACL, EMNLP, ICLR, COLM, etc.) * Experience with model optimization techniques (quantization, distillation, efficient inference) * Knowledge of responsible AI practices including bias detection, fairness, and safety evaluation ## Description Amazon is seeking an Applied Scientist II to join our team and drive innovation in Generative AI and Large Language Model (LLM) applications. In this role, you will design, develop, and deploy AI solutions that directly impact millions of customers and transform how Amazon operates at scale. You'll work with state-of-the-art technologies including foundation models, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques to solve complex business problems., * Model Development & Innovation: Design and implement novel GenAI/LLM solutions using foundation models (e.g., Claude, GPT, LLaMA) and AWS services including Amazon Bedrock, SageMaker, and other AWS AI/ML tools * Research & Experimentation: Conduct applied research to advance the state-of-the-art in LLM applications, including prompt engineering, few-shot learning, fine-tuning, and model evaluation * Production Deployment: Build scalable, production-ready AI systems that serve millions of requests with high reliability, low latency, and cost efficiency * Cross-Functional Collaboration: Partner with product managers, engineers, and business stakeholders to translate business requirements into technical solutions and drive measurable impact * Technical Leadership: Mentor junior scientists, contribute to technical strategy, and establish best practices for GenAI development across the organization * Evaluation & Metrics: Design rigorous evaluation frameworks to measure model performance, bias, safety, and business impact * Documentation & Communication: Publish technical papers, create detailed documentation, and present findings to both technical and non-technical audiences ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) ## 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) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)