Forward Deployed Engineer

Carpiness S.R.O.

Madrid, Spain

2 days ago

Apply on www.buscojobs.com.es

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.buscojobs.com.es

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence ARM Architecture Microsoft Azure Cloud Computing Continuous Integration Python (Programming Language) Machine Learning Oracle (Applications) Role-Based Access Control SAP (Applications) Search Technologies

+12 more

SQL Databases ReactJS Flask (Web Framework) Large Language Models Snowflake Prompt Engineering Backend Git Fastapi Streamlit Framework Workday Databricks

Job description

Forward Deployed Engineer (FDE) - AI / Finance

BarcelonaOccasional onsite in Barcelona5+ years of experienceWe’re looking for anForward Deployed Engineer (FDE) - AI / Financeto 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 doOwn theend-to-end delivery of AI solutions- from problem definition through deployment, adoption and measurable business outcomes.Work directly with Finance stakeholders acrossFP&A, controllership, treasury, procurement and CFO functions .Rapidly prototype and build vertical AI applications using technologies such asSnowflake, Databricks, RAG pipelines and agentic workflows .Build full-stack solutions usingPython, 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 agoverned 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 withusage, adoption and business outcome metrics .Handle the “last mile” - edge cases, business rules, data quirks, user training and adoption.Turn successful solutions intoreusable patterns, components and assetsfor future AI applications.What we’re looking for5+ years of software / engineering experienceStrongPythonskills and experience building end-to-end applicationsProduction experience withLLM / AI applicationsHands-on experience withSnowflake Cortex and/or Databricks GenieExperience buildingRAG solutionsand working with vector search, embeddings and retrieval evaluationExperience with frameworks such asLangChain, LangGraph, LlamaIndex or equivalentStrong understanding ofprompt engineering and LLM evaluationWorking knowledge ofSnowflake and/or Databricks , plus cloud experience - Azure preferredSolidSQL and data modellingskillsExperience with APIs, Git, CI/CD and modern development workflowsThe ability to work directly with business stakeholders and translate business problems into technical solutionsNice to haveExperience inFinance, Pharma, Life Sciences or CPG , familiarity with enterprise Finance platforms such as SAP, Workday or Oracle, and experience working in regulated environments.Experience inForward Deployment, Solutions Engineering, Field Engineering or similar rolesis also highly relevant.What this role is not This isnotan 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-*****-Ljbffr

Requirements

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

Benefits & conditions

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-*****-Ljbffr