AI Solution Engineer

Fynity; Madrid; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A fast-scaling SaaS company in Madrid is seeking a GTM AI Solutions Engineer. You will build and optimize AI-driven applications that enhance Sales, Marketing, and Partner teams' productivity. The ideal candidate has strong technical skills in Node.js or Python, experience with LLM frameworks, and demonstrates entrepreneurial ownership of projects. This position offers private health insurance and opportunities for continuous training and learning.

Servicios

Private Health Insurance

Continuous training and learning

Formación

• Strong hands-on technical skills in Node.js or Python; TypeScript is a plus.
• Experience with LLM frameworks and API integration.
• Understanding of MLOps or data pipeline best practices.

Responsabilidades

• Build reliable data pipelines connecting APIs, CRMs, and internal databases.
• Train, fine-tune, and deploy LLMs or domain-specific AI models.
• Collaborate with Engineering, Data, and RevOps to shape a scalable AI platform.

Conocimientos

Node.js

Python

Docker

Cloud Platforms (Azure or AWS)

LLM frameworks (LangChain, Semantic Kernal, Bedrock, Azure OpenAI)

API integration

MLOps or data pipeline best practices

Descripción del empleo

GTM AI Solutions Engineer - Barcelona (On-site)

Are you an engineer who loves to

build things that drive revenue,

not just code for the sake of it?

We’re supporting a

fast-scaling SaaS company (1,000+ people, global presence) that’s building an internal

AI Engineering team

focused on

GTM productivity and revenue generation

Unlike most RevOps teams that buy tools, this team

builds them in-house,

crafting AI-driven applications that directly improve how Sales, Marketing, CS, and Partner teams operate.

Build reliable data pipelines connecting APIs, CRMs and internal databases to optimise AI workflows

Train, fine-tune, and deploy LLMs or domain-specific AI models for sales enablements, CX copilots, or data enrichment

Experiment rapidly, test ideas, and own the entire lifecycle of your builds.

Collaborate with Engineering, Data, and RevOps to shape a scalable internal AI platform.

Strong hands on technical skills in Node.js or Python (TypeScript a plus), Docker, Cloud Platforms (Azure or AWS)

Experience with LLM frameworks (LangChain, Semantic Kernal, Bedrock, Azure OpenAI)

API integration and an understanding of MLOps or data pipeline best practice

Entrepreneurial ownership - treat every project like it’s your own product.

Private Health Insurance

Continuous training and learning