Forward Deployed Engineer (FDE) – AI / Finance | Barcelona

Occasional onsite in Barcelona

5+ years of experience

We're looking for an

Forward Deployed Engineer (FDE) – AI / Finance

to join a high-impact project focused on bringing AI and agentic solutions into Finance.

This is not a research role. And it's not a role where you spend months writing specifications before building anything.

You'll work directly with Finance stakeholders to understand real business problems, turn ambiguous ideas into working AI applications, deploy them into a regulated enterprise environment, and iterate with users until the solution delivers measurable value.

In short:

you'll own the journey from "we have a problem" to "AI is solving it."

What you'll do

Own the

end-to-end delivery of AI solutions

- from problem definition through deployment, adoption and measurable business outcomes.

Work directly with Finance stakeholders across

FP&A;, controllership, treasury, procurement and CFO functions .

Rapidly prototype and build vertical AI applications using technologies such as

Snowflake, Databricks, RAG pipelines and agentic workflows .

Build full-stack solutions using

Python, FastAPI/Flask, Streamlit, Databricks Apps or lightweight React .

Get a first working prototype in front of users quickly, learn from real feedback and iterate.

Deploy solutions within a

governed and regulated enterprise environment , taking care of RBAC, data residency, audit and compliance requirements.

Build RAG pipelines, integrate LLMs and APIs, and connect AI solutions to enterprise systems and data.

Instrument your solutions with

usage, adoption and business outcome metrics .

Handle the "last mile" - edge cases, business rules, data quirks, user training and adoption.





Turn successful solutions into

reusable patterns, components and assets

for future AI applications.

What we're looking for

5+ years of software / engineering experience

Strong

Python

skills and experience building end-to-end applications

Production experience with

LLM / AI applications

Hands-on experience with

Snowflake Cortex and/or Databricks Genie

Experience building

RAG solutions

and working with vector search, embeddings and retrieval evaluation

Experience with frameworks such as

LangChain, LangGraph, LlamaIndex or equivalent

Strong understanding of

prompt engineering and LLM evaluation

Working knowledge of

Snowflake and/or Databricks , plus cloud experience - Azure preferred

Solid

SQL and data modelling

skills

Experience with APIs, Git, CI/CD and modern development workflows

The ability to work directly with business stakeholders and translate business problems into technical solutions

Nice to have

Experience in

Finance, Pharma, Life Sciences or CPG , familiarity with enterprise Finance platforms such as SAP, Workday or Oracle, and experience working in regulated environments.

Experience in

Forward Deployment, Solutions Engineering, Field Engineering or similar roles

is also highly relevant.

What this role is not This is

not

an ML research role, a pure backend role or an architecture-only position.

The models already exist.

Your job is to turn them into useful products, get them into the hands of users and make them deliver value.

Interested? If you're an engineer who likes building things that people actually use - and you want to spend the next three years working on real-world AI transformation in Finance - we'd love to hear from you.

#J-18808-Ljbffr

📌 Forward Deployed Engineer (Madrid)
🏢 Carpiness s.r.o.
📍 Madrid