This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're looking for a hands-on AI Principal Engineer to help us build the future of AI at Improvado. It’s a unique opportunity for someone excited to define the product vision based on real user needs and directly build the systems that power it. You’ll work closely with our CEO (who’s also our Chief Product Officer with a strong technical background) to drive the direction of our AI features. From high-level strategy to low-level implementation, you’ll bridge product thinking and deep engineering. You'll also help guide a small, talented team of AI engineers — mentoring, setting direction, and writing production code alongside them. What You’ll Do - Co-own the AI product and technical roadmap with our CEO - Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters - Design and implement key AI-powered features from the ground up - Drive technical architecture decisions and ensure high code quality and reliability - Write scalable, production-ready code and build intelligent agents using modern LLM frameworks - Define and track success metrics — from model performance to user satisfaction and adoption Qualifications - A catalyst for action with a relentless drive for execution - Strong product instincts and user empathy - Able to clearly communicate business context and product priorities to engineers - Deep experience building AI/ML systems, ideally with LLMs in production - Familiarity with the modern AI/LLM ecosystem - Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines - Clear communicator, comfortable leading discussions and making decisions - Previous startup or fast-paced environment experience is a plus - Availability to overlap with U.S. time zones What It’s Like to Work Here At Improvado, we’re a collaborative and ambitious team that moves fast and learns even faster. We believe in: - Velocity and speed of delivery - Clear ownership and high trust - Working on problems that matter - Staying flexible while delivering high-quality work - Building great things together, not in silos We work across multiple time zones, with most collaboration centered around U.S. hours. We’re remote-first but value real-time collaboration and proactive communication. Benefits - Fully remote work with overlap in U.S. time zones - Competitive salary based on your experience and impact - Modern AI tech stack and freedom to experiment - 20 working days of PTO days + U.S. holidays and extra days off - Professional development reimbursement - Stock options after the probation period

• Build AI applications: chatbots, knowledge assistants, and copilots • Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers • Work with data engineers to leverage datasets for RAG workflows • Integrate AI solutions into business processes using Power Platform • Deploy AI apps on Azure (Functions, App Services, AKS, VMs) • Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions • Monitor performance, reliability, and cost using Azure Monitor and Application Insights • Maintain technical documentation and reusable assets • Stay current with Azure AI, Copilot, and related technologies

• 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