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
Shubham Vishwakarma
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About Transient AI
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon