• Architect, build, and maintain production-grade software (services, APIs, and web applications) with strong engineering discipline: code quality, testing, observability, and operational readiness. • Lead design reviews, establish engineering standards, and mentor engineers across multiple projects—especially software-heavy initiatives. • Build integration layers and service patterns that connect applications to data platforms, identity systems, and enterprise tooling. • Drive modern SDLC practices: trunk-based development or equivalent, strong code review culture, automated testing, and predictable release workflows. • Design and operate Kubernetes-based application platforms, including deployment standards, networking/ingress, upgrades, reliability, and day-2 operations. • Implement and mature CI/CD pipelines and release automation for both applications and infrastructure (including GitOps patterns where appropriate). • Build and maintain infrastructure-as-code (e.g., Terraform) and automated environment provisioning in Azure or AWS. • Lead engineers in deploying and maintaining enterprise platform tools such as Starburst, Immuta, Collibra, Databricks, Synapse, and related services. • Develop plans for cloud migrations and deployments and execute modernization strategies for application and data workloads. • Build and maintain data pipelines and supporting services that enable analytics, ML, and AI-enabled applications. • Partner with stakeholders to shape practical approaches to AI agents, AI infrastructure, and AI application enablement (e.g., orchestration patterns, retrieval/knowledge integration, evaluation and monitoring) in a secure environment.

• Work on multiple AI initiatives in the Telecommunication Sector • Develop AI-driven workflows for Document Control projects • Design, enhance, and maintain AI chatbots • Collaborate with stakeholders for requirement finalization • Identify and automate operational pipelines

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