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Mid-level Bengaluru role at a large firm with broad GenAI scope increases competition.
Requires trading domain knowledge and GenAI agent expertise, limiting cross-industry transferability.
Mandatory generative-AI experience and explicit years requirement enforce strict candidate filtering.
Design, build, test, and deploy generative-AI agents and copilots to automate and augment trading and analyst workflows, driving strategic insights and growing trading earnings.
Partner with product lines to identify high-value AI use cases, evaluate new data/tools, and implement reusable, governed AI agents and interfaces.
Establish consistent design patterns and guardrails for AI agents to ensure reliability, safety, token-efficiency, and promote adoption with measurable business impact.
Bachelor's degree in a related field or equivalent experience.
Minimum 2 years relevant work experience, typically 3+ years.
Demonstrated experience building generative-AI applications or agents, particularly prompt engineering, retrieval-augmented generation (RAG), and tool/function calling.
Knowledge of agricultural trading business and information valuable to trading.
Experienced in deploying LLM-powered agents and copilots in production, with hands-on proficiency in agent frameworks like LangChain or LangGraph.
Understanding of commodity trading markets and workflows, capable of redesigning processes around AI agents for efficiency and impact.
Able to implement evaluation, monitoring, and responsible AI guardrails ensuring agent safety and compliance.