Senior AI Software Engineer

Wizeline

Barcelona

Híbrido

EUR 60.000 - 90.000

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

Health benefits

Retirement plans

Global mobility opportunities

Remote-friendly approach

Happy hours & events

WizeAcademy learning

Cloud certifications

Descripción de la vacante

Wizeline in Barcelona is seeking a Machine Learning Engineer to collaborate with data scientists and engineers, orchestrating LLMs and tools into advanced AI workflows. You will implement optimized vector storage for NLP and develop tools for prompt management, automated evaluations, and observability.

You will deploy LLMs, design multi-agent systems with tool-calling and long-term memory, and ensure performance and reliability across cloud-based services._remote-friendly work policy and global

Formación

Bachelor's or Master's in CS/Engineering/Data Science or related STEM field or equivalent work experience.
4+ years of industrial experience in a machine learning engineering or data engineering role.
Strong programming skills in Python and/or another high-level language commonly used in machine learning.

Responsabilidades

Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.
Implement optimized vector storage and indexing systems for NLP.
Develop tools and frameworks for prompt management, automated evaluations, and observability.
Monitor and improve agentic systems performance for accuracy and efficiency.
Provide ongoing support, troubleshoot issues, and implement updates for ML solutions.
Build and maintain data processing pipelines for high volumes of structured and unstructured data.
Integrate third-party AI APIs to extend system functionality.
Stay updated on GenAI, NLP, ML, and IR technologies, leveraging cloud infrastructure for efficiency.
Build and extend internal products on LangChain ecosystem to support prompt management, evaluation, and agent orchestration.

Conocimientos

Python

LLM deployment

API integration

Cloud platforms

Docker

Git

LangChain

Educación

Bachelor's or Master's in CS/Engineering/Data Science or related STEM field

Herramientas

LangGraph

LangSmith

AWS

GCP

Descripción del empleo

Responsibilities

Collaborate with data scientists and engineers to orchestrate LLMs and tools into complex AI workflows.
Implement optimized vector storage and indexing systems for NLP.
Develop tools and frameworks for prompt management, automated evaluations, and observability.
Monitor and improve agentic systems performance for accuracy and efficiency.
Provide ongoing support, troubleshoot issues, and implement updates for ML solutions.
Build and maintain data processing pipelines for high volumes of structured and unstructured data.
Integrate third‑party AI APIs (internal and external) to extend the functionality of systems.
Stay updated on GenAI, NLP, ML, and IR technologies, incorporating best practices and leveraging cloud infrastructure for efficiency.
Build and extend internal products on top of the LangChain ecosystem (LangGraph, LangSmith) to support prompt management, evaluation, and agent orchestration across the team.

Must‑have Skills

Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related STEM field or equivalent work experience.
4+ years of industrial experience in a machine learning engineering or data engineering role.
Strong programming skills in Python and/or another high‑level language commonly used in machine learning.
Familiarity with cloud‑based infrastructure and services (e.g., AWS and GCP), Docker, and the Git version control system.
Familiarity with consuming and integrating APIs in a reliable and secure manner.
Experience deploying LLMs, implementing automated evaluation pipelines (LLM‑as‑a‑judge), and architecting multi‑agent systems that utilize tool‑calling and long‑term memory to solve non‑linear problems.

What we offer