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Agentic AI Engineer

SpainFull-time2026-10-05 → 2026-10-08

Core

Building the engine for QuantPilot, an AI trading copilot that generates, backtests, and iterates on trading strategies for retail traders.

Role type

Senior IC agentic AI engineer (trading systems)

Builds

AI agent platform for market research and strategy generation

Deliverable

production ML models

Required skills

Python, LLM-based systems engineering, agent architecture, evaluation-driven development, statistical rigor, Kubernetes, observability, TypeScript/Go

Preferred skills

Quant finance background, knowledge graphs, RAG, Go, MCP protocol, low-latency fintech systems, language model fine-tuning

Technologies

Python, Kubernetes, TypeScript, Go

Responsibilities

Own agent architecture end-to-end (orchestration, tool loops, context management, sandboxes, model routing); Build and own the evaluation layer (offline evals, backtest metrics, regression detection); Apply statistical principles to strategy evaluation (overfitting detection, robustness checks, walk-forward validation); Build data foundations with provenance and validation; Shape technical direction via RFCs/ADRs and mentor engineers; Participate in on-call rotation for owned services.