Software Development Engineer, Conversational AI Modeling and Learning

Amazon Amazon · Big Tech · Bellevue, WA · Software Development

Software Development Engineer/Machine Learning Engineer role on the Conversational AI Modeling and Learning (CAMEL) team, focusing on developing Generative AI powered conversational assistant capabilities. Responsibilities include developing and maintaining platforms for LLMs, processing data, scaling models, optimizing latency/cost, and driving system architecture for conversational agents. The role involves working with multimodal LLMs and Gen AI to improve conversational excellence.

What you'd actually do

  1. Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying large language models required for building conversational agents.
  2. Work closely with Applied scientists to process massive data, scale machine learning models along with optimizing latency, cost and capacity.
  3. Drive the system architecture, and spearhead the best practices that enable a quality infrastructure.
  4. Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.
  5. 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.

Skills

Required

  • 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

Nice to have

  • 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
  • fine tuning
  • ICL (In Context Learning)
  • prompt optimization techniques
  • large language models
  • conversational agents
  • multimodal LLMs
  • Generative Artificial Intelligence (Gen AI)

What the JD emphasized

  • low latency
  • multimodal Large Language Models (LLMs)
  • Generative Artificial Intelligence (Gen AI)

Other signals

  • Generative AI
  • conversational assistant
  • large language models
  • multimodal LLMs