We are looking for a Lead Applied AI Engineer to design, build, and deploy production-grade AI systems that deliver measurable business impact. This is a hands-on leadership role for someone who combines deep technical expertise in modern AI (LLMs, deep learning, ML systems) with strong product intuition and engineering rigor.You will lead applied AI initiatives end-to-end, from experimentation and prototyping to scalable deployment, and help shape our AI strategy, architecture, and technical standards.If you enjoy turning cutting-edge research into reliable, high-impact products, this role is for you.What You’ll DoTechnical LeadershipArchitect and implement scalable AI/ML systems in production environmentsLead the design and deployment of LLM-based applications (RAG, agents, fine-tuning, evaluation frameworks)Establish best practices for model evaluation, monitoring, and continuous improvementDrive experimentation and rapid prototyping to validate AI use casesHands-On DevelopmentBuild and optimize pipelines for data ingestion, training, inference, and evaluationDevelop APIs and services that integrate AI capabilities into core productsImprove performance, latency, cost efficiency, and reliability of AI systemsWork with modern AI stacks (e.g., PyTorch, TensorFlow, LangChain/LlamaIndex, vector DBs, orchestration frameworks)Cross-Functional ImpactPartner with Product, Design, and Engineering to identify high-impact AI opportunitiesTranslate business problems into AI solutions with measurable outcomesMentor and guide AI/ML engineersContribute to hiring, technical standards, and long-term AI roadmapWhat Makes You a Great FitYou think in systems, not just modelsYou care about shipping real-world impact, not just research metricsYou balance speed with engineering excellenceYou’re comfortable navigating ambiguity and defining structureYou lead by example and elevate those around youWhy Join Us?This is an opportunity to join a company redefining recruitment through AI and automation. You’ll work directly with leadership, bringing 15+ years of SaaS and recruitment tech experience, in a high-growth, high-ownership environment where your impact will shape the future of our enterprise motion.What’s in It for YouCompetitive compensation: and performance upsideStock options: participate in the value you help createTop-tier tools: (MacBook Pro + personal development budget)Hybrid work: and occasional travel Clear growth path: into senior/strategic roles as our enterprise segment expands6+ years of experience in software engineering or machine learning3+ years building and deploying ML systems in productionStrong experience with LLMs and modern AI application patterns (RAG, embeddings, evaluation, prompt engineering)Proficiency in Python and modern backend frameworksExperience with cloud infrastructure (preferably GCP)Solid understanding of data pipelines, distributed systems, and scalable architectureStrong PlusExperience with fine-tuning large modelsMLOps and model monitoring expertiseExperience with vector databases (e.g., Pinecone, Weaviate, Milvus)Experience building AI agents or multi-step reasoning systemsStartup or high-growth environment experience