> Markdown version of [/jobs/ext/1988121-software-development-engineer-conversational-ai-modeling-and-learning](https://www.wearedevelopers.com/jobs/ext/1988121-software-development-engineer-conversational-ai-modeling-and-learning). 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). --- # Software Development Engineer, Conversational AI Modeling and Learning - **Company:** Amazon.com, Inc. - **Location:** Boston, MA, United States - **Experience:** Experienced - **Salary:** $143,700.0 - $194,400.0 - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Code Review, Computer Programming, Software Design Patterns, Machine Learning, Scrum Methodology, Software Engineering, Systems Architecture, Reinforcement Learning, Chatbots, Large Language Models, Deep Learning, Generative AI, Information Technology, Low Latency, Build Process, Software Coding, Software Version Control - **Published:** August 8, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10496262/software-development-engineer-conversational-ai-modeling-and-learning ## About the Role 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent ## Description The Conversational AI Modeling and Learning (CAMEL) team is looking for a passionate, talented, and inventive SDE/MLE to play pivotal role in the development of industry-leading, Generative AI (GenAI) powered conversational assistant capabilities using latest techniques like fine tuning, ICL (In Context Learning) and various prompt optimization techniques., Ability to quickly learn latest technologies and algorithms in the field of Generative AI to participate in our journey to build the best conversational agent. - Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents. - Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility. - Work closely with Applied scientists to process massive data, scale machine learning models along with optimizing latency, cost and capacity. - Work in an Agile/Scrum environment to deliver high quality software. A day in the life As an SDE with the CAMEL team, you will be responsible for leading the development of high performance, low latency, industry leading modeling solutions to advance the state of the art Conversational agents. Your work will directly impact our customers in the form of products and services that make use of conversational agent innovations. You will leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (Gen AI) to improve Conversational Excellence. You will have significant influence on our overall strategy by helping define data, enrichment, model optimizations and evaluation. You will drive the system architecture, and spearhead the best practices that enable a quality infrastructure. About the team Join our CAMEL team and work at the forefront of AI. Collaborate with top minds pushing boundaries in deep learning, reinforcement learning, and more. Gain valuable experience and accelerate your career growth. This is a unique opportunity to create history and shape the future of artificial intelligence. ## Related Videos - [Fireside Chat with Werner Vogels, VP & CTO, Amazon.com & Daniel Gebler, CTO at Picnic](https://www.wearedevelopers.com/videos/1405-fireside-chat-with-werner-vogels-vp-cto-amazon-com-daniel-gebler-cto-at-picnic) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [Integrate your Cognitive Assistant with 3rd-party DBs and software](https://www.wearedevelopers.com/videos/249-integrate-your-cognitive-assistant-with-3rd-party-dbs-and-software) - [Make it simple, using generative AI to accelerate learning](https://www.wearedevelopers.com/videos/969-make-it-simple-using-generative-ai-to-accelerate-learning) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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)