Summary: Join our team as a Lead AI Engineer to design and build full-stack applications, AI agents, and platform components for a central GenAI Platform. Highlights: 1. Lead the creation of high-impact AI agents and accelerate innovation. 2. Drive architecture decisions, mentor engineers, and own large-scale projects. 3. Work with cutting-edge LLM patterns like RAG and tool-use. We are looking for a skilled **Lead AI Engineer** to join our team Our group is developing a central GenAI Platform designed to empower hundreds of product teams with scalable tools for rapid AI agent development, validation, and deployment. We lead the creation of high\-impact AI agents, accelerating delivery and driving innovation across multiple industries. With over 20 agents already launched and many more underway, our work is transforming outcomes in critical domains. **Responsibilities** * Design and build full\-stack applications, AI agents, and platform components that support fast GenAI agent development, validation, and deployment * Develop developer tools, CI/CD pipelines, and observability features to enable safe and efficient iteration, including evaluation systems, canary releases, rollout/rollback mechanisms, and cost and quality monitoring * Apply secure software development lifecycle (SDLC) and privacy\-by\-design principles, such as threat modeling and least privilege access * Work closely with product managers, UX designers, and domain experts to deliver customer\-focused solutions with measurable results * Implement current LLM patterns, including retrieval\-augmented generation (RAG), retrieval, routing, tool\-use, and evaluation strategies, to create faster, more reliable AI systems, reduce time\-to\-decision, improve trust and safety, and lower cost per query * Take a hands\-on approach to leadership by driving architecture decisions, mentoring engineers, and owning large\-scale projects **Requirements** * Minimum 5 years of professional experience in software engineering * At least 1 year of experience leading and managing development teams * Demonstrated ability to deliver software products independently or as part of a small, agile team * Experience taking AI agents from concept to production, including safety assessments, iterative testing such as A/B testing, and ongoing improvement * Hands\-on experience with LangChain or LangGraph, MCP, vector databases or RAG systems, and OpenSearch * Background in traditional machine learning tasks, including model training, deployment, and monitoring * Familiarity with regulatory standards such as SOC2 and HIPAA * Excellent problem\-solving skills, strong sense of ownership, and effective cross\-functional communication * Advanced full\-stack development abilities and experience with cloud platforms like AWS, Azure, or GCP * Proficiency in CI/CD practices and Infrastructure as Code * Knowledge of Site Reliability Engineering (SRE) principles * Experience with quality engineering and testing strategies * Understanding of secure SDLC and privacy by design * Proficiency in TypeScript * Fluent English communication skills, both written and spoken, at B2\+ level or above **Nice to have** * Understanding of how large language models (LLMs) function, including their failure modes * Experience with techniques such as fine\-tuning and model adaptation