AI / ML Engineer

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.
• Collaborate with a distributed team across New York, Miami, Singapore, and India.

Requirements:

• 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 LLM 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 (IIT or equivalent) is preferred.
• 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.

Skills

AI, Hugging Face, LangChain, MLOps, PyTorch, Python, TensorFlow, artificial intelligence, machine learning