Summary: Lead AI Engineer to scale a central GenAI Platform, building full-stack solutions, improving CI/CD, leading architecture, and mentoring for rapid AI agent delivery with strong safety. Highlights: 1. Lead architecture and mentor engineers on large-scale projects 2. Develop full-stack applications and AI agents for rapid GenAI development 3. Implement developer tooling, CI/CD, and observability for safe iteration We are scaling a central GenAI Platform and need a Lead AI Engineer to enable rapid AI agent delivery with strong safety, evaluation, and rollout practices. You will build full\-stack solutions and platform tooling, improve CI/CD and observability, and lead architecture and mentoring—apply today. **Responsibilities** * Develop full\-stack applications, AI agents, and platform components that support rapid GenAI agent development, validation, and deployment * Implement developer tooling, CI/CD pipelines, and observability features for safe iteration, including evaluation systems, canary releases, rollout/rollback mechanisms, and cost and quality monitoring * Practice secure software development lifecycle (SDLC) and privacy\-by\-design principles through threat modeling and least privilege access * Work with product managers, UX designers, and domain experts to deliver customer\-focused solutions with measurable results * Apply proven LLM patterns, including retrieval\-augmented generation (RAG), retrieval, routing, tool\-use, and evaluation strategies, to improve reliability and speed, reduce time\-to\-decision, enhance trust and safety, and lower cost per query * Own architecture decisions, mentor engineers, and lead delivery of large\-scale projects **Requirements** * Minimum 5 years of professional experience in software engineering * At least 1 year of experience leading and managing development teams * Proven ability to deliver software products independently or with 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 with a strong sense of ownership and 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 large language models (LLMs) and their failure modes * Experience with fine\-tuning and model adaptation techniques