Senior Applied AI Engineer, AI Platform

🕒 il y a 1 mois

🌐 Portugal, Espagne – Distant

🇵🇹 Portugal – Télétravail 🇪🇸 Espagne – Télétravail

⏰ Temps Plein

🟠 Senior

🤖 Ingénieur IA

👻 Score fantôme 31%

Ce que ça veut dire : la probabilité que cette offre reste ouverte sans recrutement actif.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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bunch

Site WebLinkedInTous les Emplois

11 - 50 employés

💳 Fintech

💸 Finance

🤝 B2B

Fintech • Finance • B2B

bunch OS facilite l'investissement dans les marchés privés en le rendant simple, rentable et rapide, sans compromettre la conformité réglementaire et fiscale. C'est une plateforme flexible et adaptable qui fonctionne à travers les structures juridiques, les classes d'actifs et les juridictions pour déverrouiller pleinement les marchés privés pour tous.

Description

• Design and build agents that automate real fund-operations workflows • Own agents from prototype through production and post-launch operation • Integrate agents with services, data models, and authorization systems • Build evaluation layers with real-document test cases, expected outputs, CI regression suites, human review, and end-to-end success criteria • Improve agent accuracy, latency, and cost • Own AI application architecture, including orchestration, multi-agent design, tool contracts, memory, RAG, MCP, guardrails, approvals, and human-in-the-loop controls • Run production deployments with versioned and feature-flagged rollouts, rate limits, provider fallback, EU regional failover, and observability • Consolidate document parsing and extraction into the AI Platform team • Create shared evaluation and observability capabilities for other teams • Establish engineering patterns and collaborate with DevX • Mentor engineers across teams on agent and LLM practices • Review the MCP offering and ship it to first customers within the first 90 days • Establish shared AI workload observability covering token usage, estimated cost, latency, failures, and retries • Publish v1 agent patterns and gain adoption by at least one team outside AI Platform

🎯 Exigences

• 5+ years building production software • At least one agent or LLM-powered capability taken end to end and still owned after launch • Real depth in orchestration and context engineering, including tool contracts, memory, RAG, and multi-agent design • Experience with Mastra, ai-sdk, LangGraph or similar • Experience integrating agents into a real product and its authorization model • Ability to make non-deterministic systems measurable using real-data test cases, regression suites, and human review • Production experience reading traces, diagnosing failure modes, tuning cost and latency, and handling provider rate limits and fallback • Experience with TypeScript and/or Python • Platform mindset and experience building for other engineers • Experience in fintech, private markets, or another regulated, document-heavy domain is a plus • Experience working under EU data-residency constraints is a plus

🏖️ Avantages

• Customizable benefits package (wellbeing, sport, mobility, food, and more) • 28 days of vacation, plus 2 company days and local public holidays • Remote setup • Up to 6 remote calendar weeks a year • A great tech and work setup • Work with a diverse team of 130+ bunchies from 40+ countries, with leaders who are best-in-class in their domains