AI/ML Engineer

Key Responsibilities• Design, build, and deploy machine learning and AI models that power Transient.AI's core products (research automation, document intelligence, investor matching, and workflow orchestration).• Work on applied NLP/LLM systems, including retrieval-augmented generation, structured extraction from unstructured financial documents, and model evaluation pipelines.• Partner closely with product and founding engineers to translate capital markets workflows into scalable AI systems.• Own model performance, reliability, and cost — from experimentation through production deployment.• Build and maintain data pipelines, feature stores, and evaluation frameworks to support rapid iteration.• Ensure systems meet the compliance, auditability, and security standards required in regulated financial environments.What We're Looking For• 5+ years of experience building and deploying machine learning or AI systems in production.• Strong hands-on experience with Python and modern ML/AI frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, or equivalent).• Experience with LLMs — fine-tuning, prompt engineering, RAG architectures, or agentic systems — is highly valued.• Solid grounding in data structures, distributed systems, and MLOps practices (model serving, monitoring, versioning).• Prior experience at a strong product company, high-growth startup, or a top-tier engineering background • Comfort operating in an early-stage, high-ownership environment with limited process and high ambiguity.Exposure to fintech, capital markets, or other regulated industries is a plus, though not mandatory