Software Engineer (AI) - Full time

XNO is a quantitative AI technology company building institutional-grade financial infrastructure for professional investors across Vietnam and Southeast Asia. We operate at the intersection of systematic trading, AI, and financial data — serving fund managers, trading desks, and wealth professionals with tools they actually depend on for live decisions.

We’re looking for an AI Engineer who builds production AI systems — not prototypes. What you ship here advises real investment decisions and runs on live financial data. Correctness, reliability, and the ability to know when a model is wrong are not optional.

What you’ll do

•     Design and build the multi-agent orchestration system: intent classification, tool routing, sub-agent coordination, and response synthesis across complex financial queries

•     Implement and maintain the memory architecture: user profile memory, session context, and long-term behavioral memory across conversations

•     Build and maintain the tool library that agents call: portfolio analyzer, market data fetcher, strategy backtester, scenario modeler, screener, report generator, and compliance checker

•     Design multi-tier LLM routing: optimize for quality, latency, and cost simultaneously across different model tiers

•     Build RAG pipelines: embedding financial documents, vector search, and context retrieval for grounded, source-cited responses

•     Integrate quantitative signals from the research team into agent reasoning — alpha factors, regime indicators, portfolio optimization outputs

•     Build LLM evaluation frameworks: golden-set regression tests, hallucination detection, factual accuracy scoring against verified financial data

•     Build the observability stack for AI systems: token usage, latency per model tier, cost per conversation, and audit logs for compliance

Requirements

•     2+ years building production AI or LLM-powered systems — shipped to real users, not research projects

•     Deep familiarity with LLM APIs in production: Claude, OpenAI, or Gemini — streaming, tool use, structured outputs, context window management

•     Agentic framework experience: LangChain, LangGraph, or equivalent — you know when to use them and when to build your own

•     RAG pipeline experience: embedding models, vector databases, retrieval quality evaluation

•     Strong Python — async programming, clean architecture, testable code

•     Production mindset: you instrument everything, handle failures gracefully, and know when the model is wrong before users do

Bonus points

•     Experience in fintech or financial services AI: compliance constraints, explainability requirements, data sensitivity

•     Knowledge of Vietnamese financial products: mutual funds, VN30F derivatives, equities, bonds

•     Multi-agent system design: agent handoffs, tool orchestration, parallel sub-agent execution

•     LLM evaluation and red-teaming for factual accuracy in high-stakes domains

•     Familiarity with financial data sources: market data feeds, fund NAV series, macro indicators

•     Prior experience with goal-based financial planning or robo-advisory systems

Benefits

•     Competitive salary + performance bonus

•     Full ownership of AI architecture decisions — you define how the agents think

•     Direct collaboration with PhD-level quant researchers and institutional finance professionals on live systems

•     Work on AI systems where domain depth is the moat — not just prompt engineering

•     Clear growth path to Lead AI Engineer or AI Architect as XNO scales across SEA