Role Description
💻 Job Title: Forward Deployed AI Engineer
💰 Salary: ideally up to €90k (flex for strong candidates)
+ up to 35% bonus (~20% standard, rest based on performance)
📈 + very generous early-stage equity
📍 Location: Madrid or Barcelona (1-2 office days/week)
🚀 Company : autonomous AI agents for enterprise clients
👥 Team : ~35
💸 Funding : ~$25m (Series A)
About the company
This rapidly scaling start-up is building an AI-native platform that lets enterprise clients run high-volume operations through autonomous, conversational agents — voice, chat and messaging, deployed across dozens of countries in over 60 languages, for some of the largest employers in the world.
The company's core technical challenge is multi-agent orchestration that stays rock-solid at scale — reliable, secure and observable whether it's deployed for a healthcare provider in the US or a retailer in Latin America.
Founded by an experienced team with two prior successful exits, backed by a top-tier European VC, and already trusted by household-name enterprise customers.
About the role
You'll be the technical bridge between the company and enterprise customers in your market — understanding their workflows, configuring and extending the AI systems to fit, and staying accountable for real production outcomes, not just a go-live.
This is a heavily hands-on role: most of your time is spent building and deploying (~70%), with the client-facing side being ~30%. You'll turn what you learn in the field into reusable modules and playbooks that speed up every deployment after yours.
✅ Must have requirements:
- Professional fluency in English and German
- Direct customer-facing experience (FDE, field engineering, consulting or solutions roles)
- Strong foundation in Python, FastAPI
- Experience with LLMs & Agentic AI in production
- Comfortable moving between high-level problem definition and hands-on debugging
- Startup pace and mentality - high energy, ownership, proactiveness, hunger to innovate and succeed, comfortable operating with ambiguity
👍 Bonus points for:
- Professional fluency in Spanish
- Full-cycle ownership : discovery → architecture → build → deploy → iterate on real production systems
- Experience with AI Voice Agents / Conversational AI
- Full-Stack & DevOps experience: React preferred; CI/CD; AWS/GCP/Azure
- FDE/Solution engineering experience specifically on agentic AI / LLM-based products, not just traditional SaaS
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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