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Chennai · On-site · 5-8 Yrs · Sep 29
HR Consulting · Unknown · Coimbatore, India
1 open role0 posted in 7d1 in 30d
Work-life balance 4.8Compensation & benefits 4.3Culture & values 5.0
Hiring: Engineering
What employees say
+ One of the best company from my perspectives
− Increasing team size could be better
More reviews on the company profile.
Job description
Overview
Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai.
Responsibilities
- Transient.AI is hiring an experienced AI/ML Engineer to join its India engineering team in Bangalore/Chennai. This is a hands-on, build-from-scratch role you'll be designing and shipping the core machine learning systems that power the company's flagship products, working closely with founders and senior engineers rather than inheriting existing infrastructure.
- 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.
Qualifications
- 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).
- 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.
- Build core AI systems from the ground up not maintain legacy code.
- Work directly with founders who have deep, first-hand Wall Street experience (Goldman Sachs, Credit Suisse, UBS, McKinsey).
- Join a Series A-funded company solving a real, expensive problem for institutional finance.
- Be part of a small, global team with outsized ownership and impact.
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Job application FAQ
Last updated 29 September 2026
- How do I apply for Senior Artificial Intelligence/Machine Learning Engineer - Large Language Models at Hashone careers?
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- Is Senior Artificial Intelligence/Machine Learning Engineer - Large Language Models remote or on-site in Chennai, Tamil Nadu (+2 others)?
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