Summary: Lead AI Engineer to deliver end-to-end AI agents and platform modules, improve CI/CD and observability, and guide architecture for a unified GenAI Platform. Highlights: 1. Deliver end-to-end applications, AI agents, and platform modules 2. Provide technical leadership by defining architecture and mentoring engineers 3. Apply modern LLM techniques to improve reliability and optimize costs We are building a unified GenAI Platform that helps hundreds of product teams create, test, and deploy AI agents quickly and safely. As a Lead AI Engineer, you will deliver end\-to\-end agents and platform modules, improve CI/CD and observability, and guide architecture and execution across major initiatives. Join us and apply today **Responsibilities** * Deliver end\-to\-end applications, AI agents, and platform modules that enable rapid GenAI agent creation, evaluation, and deployment * Develop developer tooling, automate CI/CD workflows, and strengthen observability for secure delivery cycles, including evaluation frameworks, canary releases, rollbacks, and monitoring of cost and quality * Embed secure development lifecycle and privacy\-first practices, including threat analysis and least\-privilege enforcement * Collaborate with product owners, UX specialists, and subject matter experts to build user\-focused solutions with measurable impact * Apply modern LLM techniques such as retrieval\-augmented generation, intelligent routing, tool integration, and evaluation to improve reliability, reduce decision time, increase trust and safety, and optimize query costs * Provide technical leadership by defining architecture, mentoring engineers, and driving large initiatives **Requirements** * Hands\-on software engineering experience of 5\+ years in production environments * At least 1 year of experience leading and supervising engineering teams * Proven track record of shipping software independently or with small, fast\-moving teams * Practical experience taking AI agents from idea to production, including safety checks, A/B testing experiments, and iterative improvements * Proficiency with LangChain or LangGraph, MCP, vector databases, and OpenSearch * Solid understanding of machine learning workflows, including model training, deployment, and monitoring * Knowledge of compliance frameworks such as SOC2 and HIPAA * Strong analytical thinking, clear communication, and an ownership mindset * Advanced full\-stack development skills with familiarity in cloud environments such as AWS, Azure, or GCP * Experience with CI/CD automation and Infrastructure as Code practices * Understanding of Site Reliability Engineering concepts and operational reliability * Background in quality assurance practices and testing methodologies * Awareness of secure development lifecycle and privacy\-first engineering approaches * Strong TypeScript skills in real\-world applications * English proficiency at B2\+ (Upper\-Intermediate) or higher, written and spoken **Nice to have** * Understanding of how large language models work, their limitations, and approaches such as fine\-tuning and model customization * Experience building Retrieval\-Augmented Generation (RAG) applications