Summary: Seeking a Lead AI Engineer to drive the development of cutting-edge AI solutions, focusing on full-stack applications, AI agents, and platform components for rapid GenAI agent development. Highlights: 1. Design and implement full-stack applications and AI agents 2. Lead by example, drive architecture, and mentor engineers 3. Deliver secure, reliable, cloud-native systems to production We are seeking a **Lead AI Engineer** to join our team and drive the development of cutting\-edge AI solutions. This role involves designing and implementing full\-stack applications, AI agents, and platform components to enable rapid GenAI agent development, validation, and deployment. **Responsibilities** * Design and implement full\-stack applications, AI agents, and platform components * Build developer tooling, CI/CD, and observability for safe, fast iteration * Apply secure SDLC and privacy\-by\-design practices * Collaborate with product, UX, and domain experts to deliver customer\-focused solutions * Apply current LLM patterns to deliver measurable customer value * Lead by example, drive architecture, mentor engineers, and take ownership of larger projects **Requirements** * 5\+ years of professional software engineering experience * Strong full\-stack development skills and cloud experience (AWS/Azure/GCP) * Expert in at least one, and proficient across the others: AI Agent development and evaluation, Backend development, Frontend development * Cloud services (AWS/Azure/GCP), CI/CD and Infrastructure as Code, Site Reliability Engineering (SRE) * Quality engineering/testing strategy, Secure SDLC and privacy by design * Proven track record delivering secure, reliable, cloud\-native systems to production * Upper\-Intermediate English language proficiency (B2\) **Nice to have** * Proven ability to deliver software products independently or as part of a small, fast\-paced team * Experience of taking AI agents from concept to production, including safety evaluations and iterative testing * Experience with LangChain/LangGraph and MCP; vector/RAG systems; OpenSearch * Worked on traditional ML tasks like training, deployment, and monitoring * Understand how LLMs work, their failure modes, and techniques like fine\-tuning and model adaptation * Familiarity with regulatory frameworks such as SOC2, HIPAA, etc.