• Researching, building, optimizing, and deploying the production ML systems that thousands of developers integrate with their systems. • Focusing on the difficult research and engineering problems of building the engine for the next generation of AI-driven software.

• Guide customers through their entire product journey—from initial implementation and technical onboarding, through development and testing, all the way to production deployment • Build custom demos and prototypes that showcase how AssemblyAI's models can solve specific customer use cases • Lead technical discovery sessions with prospects and customers to understand their requirements and design optimal implementations • Assist with competitive evaluations by providing benchmarks, designing fair comparison tests, and helping customers evaluate our models against alternatives • Troubleshoot production issues for customers using our streaming and async APIs • Provide technical guidance on architecture, scaling, data privacy, and best practices for integrating our APIs • Create proofs-of-concept that demonstrate the "art of the possible" with Speech AI • Travel to customer sites for technical workshops, implementation support, and relationship building with key accounts

• Design and develop Agentic AI applications using LLM frameworks (LangChain, AutoGPT, CrewAI, Semantic Kernel, or similar) • Architect and implement multi-agent systems for enterprise-grade solutions • Integrate AI agents with APIs, databases, internal tools, and external SaaS products • Lead and mentor a cross-functional team across global time zones • Optimize performance, context retention, tool usage, and cost efficiency • Build reusable pipelines and modules to support GenAI use cases at scale • Ensure enterprise-grade security, privacy, and compliance standards in deployments • Collaborate directly with clients and senior stakeholders

• Architect and implement Generative AI features leveraging Large Language Models (LLMs), RAG frameworks, and agent orchestration. • Design scalable systems translating complex product requirements into modular, cloud-native software. • Contribute to the continuous evolution of our platform using Java, Kafka, and cloud-native best practices (AWS/Azure). • Mentor junior engineers, conduct deep-dive code reviews, advocate for high-quality, testable, and maintainable source code. • Collaborate in cross-functional agile squads to launch production-ready applications solving real-world transportation challenges.