AI/ML Engineer - NLP/LLM Systems

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, HuggingFace, 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.