Sonar - AI Engineer

• Design & Develop: Architect and implement end-to-end AI Agents and full-stack applications that automate complex business processes. • Foundational Engineering: Build and maintain the core AI tech stack, including agent orchestration frameworks, vector database integrations, and RAG (Retrieval-Augmented Generation) pipelines. • Cloud Orchestration: Oversee the deployment and management of scalable AI services, selecting and adapting infrastructure to meet stringent requirements for high availability, performance, and efficiency. • Strategic Transformation: Act as a key contributor to Sonar’s AI transformation, identifying high-impact opportunities for agentic automation across different departments. • Governance & Ethics: Collaborate with cross-functional teams to establish governance, security protocols, and best practices for AI development and data privacy. • Full-Stack Ownership: Manage the entire lifecycle of internal tools, from backend logic and LLM prompt engineering to intuitive frontend interfaces for internal users. • Full-Stack Expertise: Professional experience in full-stack development (e.g., Python, Node.js, React, or similar modern stacks). • AI Agent Mastery: Proven experience developing and deploying autonomous AI Agents using frameworks such as LangChain, AutoGen, CrewAI, or similar. • Automation Roots: A strong background in traditional automation development (e.g., scripting, workflow engines, or RPA) prior to the LLM era, demonstrating a deep understanding of logic-based systems. • Cloud Proficiency: Hands-on experience architecting and deploying production-grade applications on any major cloud platform (AWS experience is highly recommended). • Architectural Vision: Deep understanding of the specific architectures required for agentic workflows, including state management, tool-calling, and memory systems. • Data & AI Skills: Experience with vector databases (e.g., Pinecone, Weaviate), fine-tuning (optional but preferred), and advanced prompt engineering. • Collaborative Mindset: Ability to work with non-technical stakeholders to define governance and translate business needs into technical requirements. • Growth Mindset: A passion for staying at the forefront of AI research and a desire to continuously evolve your skill set. • Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness and embraces the right to fail (and get right back up again!). • Great people make a great company. We value people skills as much as technical skills and strive to keep things friendly while still being passionate leaders in our domains. • We have a flexible work policy that includes 3 days in-office and 2 days work-from-home each week for those located near our office locations; some locations such as Dubai, India, Japan and Australia operate fully remotely. • We have a growth mindset. We love learning and believe continuous education is critical to our success. In an ever-changing industry, new skills are necessary, and we're happy to help our team acquire them. • As the leader in our field, our products and services are as strong as our internal team members. • We embrace transparency with regular meetings, cascading messages and updates on the growth and success of our organization.