Brexy provides purpose-built AI infrastructure tailored for capital markets, supporting high-stakes decisions across complex financial transactions. Its technology is trusted by leading dealmakers, investors, bankers, advisors, and Fortune 500 companies. Brexy focuses on delivering accurate, data-driven insights that help clients evaluate opportunities, manage risk, and make informed strategic choices. The company’s solutions are designed to integrate into existing workflows, enabling teams to act quickly and confidently in agile market environments.
Role Overview
This is a senior, high-ownership role focused on building and deploying real-world AI systems.
You will be responsible for taking problems from ideation to production, designing architectures, making key technical decisions, and shipping systems that work reliably in real business environments.
You will define how systems should be built, including model selection, system design, tradeoffs (latency vs cost vs accuracy), and failure handling.
You’ll work closely with founders and enterprise clients,
translating business problems into scalable AI systems, while setting the technical direction for how agentic workflows are designed and deployed in the company.
What You’ll Do
Own end-to-end development of AI systems (design → build → deploy → improve)
Design and implement multi-agent systems (planning, reasoning, memory, tool orchestration)
Architect Retrieval-Augmented Generation (RAG) pipelines with strong retrieval quality, evaluation, and iteration loops
Make decisions on model selection, system design, and architecture tradeoffs
Integrate AI systems into CRMs, ERPs, internal tools, and external APIs
Build production-grade systems with logging, monitoring, guardrails, and fallback mechanisms
Define and implement evaluation frameworks (accuracy, latency, cost, reliability)
Optimize systems across performance, scalability, and cost
Handle failure modes (hallucinations, tool errors, edge cases) and impr
📌 Senior AI Engineer (India)
🏢 Brexy
📍 India