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описание
EXANTE is a broker for professionals, providing direct access to over 50 financial markets through one account.
задачи
Build and own the agent layer, including harness design, prompt architecture, the tool layer, orchestration, and context strategy;
Build and own evaluations that determine whether an agent change improves performance;
Build backend APIs, services, data models, and integrations with company systems, plus the frontend that exposes them;
Design for prompt injection, cross-tenant data leakage, and access control when handling client financial data;
Extend the scope to cover edge cases, failure modes, UX, and success metrics;
Investigate unfamiliar infrastructure, find the right people, and drive decisions;
Take ownership of an end-to-end scope and carry it through to production;
Propose solutions, start with simple working versions, and consider post-release usage and impact.
требования
Production experience building LLM agents, including harness structure, prompt architecture, tool calling, RAG, MCP, context management, and debugging pipelines;
Treat evaluations as an engineering discipline with measurable answers;
Strong backend engineering skills in TypeScript/Node and working Python knowledge;
Ability to build a competent frontend independently;
Experience using Claude Code or an equivalent agent harness with skills, subagents, hooks, or custom tooling;
Ownership of every line shipped, including AI-generated code;
High autonomy in taking a scope from concept to completion;
Security-oriented thinking before shipping;
Ability to design sufficiently minimalistic user interfaces;
Working proficiency in Russian;
Working proficiency in English;
Nice to have: background in financial services, brokerage or fintech, Slack apps, CRM integrations, OAuth / on-behalf-of flows, agent observability and tracing at scale.
условия
Competitive salary reflecting experience and contribution;