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.