Role Overview
Lead the architecture and implementation of cutting-edge generative AI, enterprise RAG systems, autonomous agent workflows, and fine-tuned foundational models for our global client portfolio.
Core Responsibilities
Design and deploy scalable RAG pipelines using LangChain, LlamaIndex, and vector databases (Pinecone, pgvector)
Evaluate, fine-tune, and optimize open-source and proprietary LLMs for domain-specific tasks
Implement robust evaluation frameworks, guardrails, and latency optimization for real-time AI responses
Collaborate with enterprise clients to translate unstructured data challenges into high-value AI solutions
Qualifications & Requirements
Deep understanding of transformer architectures, attention mechanisms, and embedding spaces
Proficiency with Python, PyTorch, FastAPI, and modern AI SDKs (OpenAI, Anthropic, HuggingFace)
Hands-on experience deploying vector search and semantic retrieval pipelines at enterprise scale
Strong background in data privacy, zero-leakage enterprise security, and prompt safety
Perks & Benefits
Executive equity packageFull health & dentalGPU cloud compute allowanceGlobal conferences
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