Senior Generative AI Developer - LLM

<p><p><b>Job Title :</b> Senior Generative AI Developer (4 to 7 years experience).<br/><br/> Lead the design and deployment of enterprise-grade generative AI systems, driving innovation in LLM orchestration, multimodal architectures, and scalable AI/ML pipelines.<br/><br/> Own the full lifecycle from research to production, ensuring alignment with business objectives and ethical AI standards.<br/><br/> This will be a hands-on individual contributor role as well as providing technical guidance to junior Responsibilities : </b></p><p><br/><b>Technical Leadership :</b></p><br/></p><p>- Architect multi-LLM systems (e.g., Mixture-of-Experts, LLM routing) for cost-performance optimization.<br/><br/></p><p>- Design GPU/TPU-optimized training pipelines (FSDP, DeepSpeed) for billion-parameter AI Development :</b></p><p><br/></p>- Build multi-cloud GenAI platforms (Azure OpenAI + GCP Vertex AI + AWS Bedrock) with unified MLOps.<br/><br/></p><p>- Implement enterprise security : VPC peering, private model endpoints, and data residency & Strategy :</b></p><p><br/></p>- Pioneer GenAI use cases : Agentic workflows, AI-driven synthetic data generation, real-time fine-tuning.<br/><br/></p><p>- Establish AI governance frameworks : Model cards, drift monitoring, and red-teaming Impact :</b></p><p><br/></p>- Partner with leadership to define AI roadmaps and ROI metrics (e.g., $ saved via AI-driven automation).<br/><br/></p><p>- Mentor junior engineers and evangelize GenAI best practices across the :</b></p><p><br/><b>Education :</b> Bachelors/Masters in CS/AI or equivalent industry experience (5+ years in ML, 2+ in Mastery :</b> :</b> Expert-level PyTorch, TensorFlow Extended (TFX), ONNX :</b> Certified in Azure AI Engineer Expert and/or GCP Professional ML Expertise :</b></p><p><br/></p>- Shipped production GenAI systems (e.g., 10k+ QPS chatbots, code autocomplete at GitHub Copilot scale).<br/><br/></p><p>- Advanced prompt/response engineering : Self-critique chains, LLM cascades, guardrail-driven Experience :</b></p><p><br/><b>Cloud AI experience :</b></p><b><br/></b></p><p><b>Azure :</b> Designed solutions with Azure OpenAI, MLOps Pipelines, and Cognitive Search.<br/><b><br/></b></p><p><b>GCP :</b> Scaled Vertex AI LLM Evaluation, Gemini Multimodal, and TPU v5 Projects :</b></p><p><br/></p>- Automation projects to reduce significant $$ costs.<br/><br/></p><p>- Built RAG systems with hybrid search (vector + lexical) and dynamic data hydration.<br/><br/></p><p>- Led AI compliance for regulated industries (healthcare, Qualifications Additions :</b></p><p><br/><b>Certifications :</b></p><b><br/></b></p><p><b>Azure :</b> Microsoft Certified : Azure AI Engineer :</b> Google Cloud Professional Machine Learning Engineer.</p><p><br/></p>- Experience with hybrid/multi-cloud GenAI deployments (e.g., training on GCP TPUs, serving via Azure endpoints).</p><br/></p> (ref:hirist.tech)