Summary: Join a team scaling a GenAI Platform, taking AI agents and platform features from idea to production while strengthening privacy and secure SDLC practices. Highlights: 1. Deliver production-ready applications, AI agents, and platform capabilities 2. Apply advanced LLM patterns to raise reliability and boost trust 3. Guide the team technically through architecture influence and mentoring We are scaling a GenAI Platform that helps product teams quickly create, validate, and deploy AI agents with consistent quality and safety. You will take agents and platform features from idea to production, strengthen privacy and secure SDLC practices, and improve automation and reliability across the stack. Apply now to build dependable LLM\-driven systems used across industries **Responsibilities** * Deliver production\-ready applications, AI agents, and platform capabilities that speed up GenAI agent development, validation, and release cycles * Create developer utilities, refine CI/CD, and enhance observability with evaluation tooling, canary releases, rollback paths, plus cost and quality metric tracking * Enforce secure SDLC and privacy\-first engineering by conducting threat assessments and applying least privilege controls * Partner with product leads, UX professionals, and domain specialists to build solutions grounded in user needs and measurable impact * Use advanced LLM patterns including retrieval\-augmented generation, smart routing, tool integration, and evaluation to raise reliability, cut latency, boost trust and safety, and reduce operating costs * Guide the team technically through architecture influence, mentoring, and oversight of high\-impact projects **Requirements** * At least 3 years of software engineering experience in professional roles * Demonstrated success shipping software products solo or with small agile teams * Hands\-on delivery of AI agents from initial concept through deployment, including safety checks, A/B experiments, and iterative performance tuning * Familiarity with LangChain or LangGraph, MCP, vector databases, and OpenSearch * Experience with foundational machine learning workflows covering training, deployment, and monitoring * Understanding of compliance frameworks and regulations such as SOC2 and HIPAA * Strong ownership, problem\-solving ability, and effective communication with partner teams * Advanced full\-stack engineering skills and exposure to AWS, Azure, or GCP * Experience automating CI/CD pipelines and using Infrastructure as Code * Knowledge of Site Reliability Engineering practices and operational readiness * Background in quality assurance practices and test strategy design * Understanding of secure development lifecycle approaches and privacy\-by\-design principles * Strong TypeScript proficiency * Advanced English level (B2\+), both written and spoken **Nice to have** * Understanding of large language model architecture, frequent failure patterns, and methods like fine\-tuning and model adaptation * Experience building Retrieval\-Augmented Generation (RAG) solutions