Python AI Engineer – RAG, LLMs & AI Agent Architect

INNOCV Solutions; Madrid; Presencial; EUR 55.000 - 85.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional Training & Certifications

Flexible hours

Special timetable: Fridays and summer

Every three years, 6 extra days off.

Day off on your birthday

Bring a friend and benefit from it

Flexible Compensation

Wellness - Gympass

Volunteering opportunities

Company Events And Team Buildings

Descripción de la vacante

INNOCV Solutions, part of the Alkemy Group, focuses on AI-powered digital evolution and scalable data pipelines. You will design and implement AI solutions aligned with business needs, leveraging RAG, expert agents, and LangChain to create modular architectures for data retrieval and decision-making.

Collaborate with design and product teams; work with LLMs such as Gemini and Llama, ensure security, and optimize performance with DevOps/MLOps practices across clouds like Azure and GCP.

Formación

• Advanced Python development skills.
• Proven experience with Hybrid AI / RAG architectures and state-of-the-art LLMs (OpenAI, Gemini; Llama 2, Mistral).
• Hands-on experience with orchestration frameworks such as LangChain, LlamaIndex, Rasa, or Haystack.

Responsabilidades

• Design and implement AI solutions aligned with business needs and standards.
• Apply Retrieval-Augmented Generation (RAG) to improve precision and relevance of AI interactions.
• Develop AI agents and agent networks for data retrieval and content generation; manage data pipelines and serverless architectures.
• Collaborate with designers and product teams to ensure AI solutions meet real business needs.

Conocimientos

Python development

Hybrid AI

LangChain

LLMs

APIs design

MLOps

Data governance

GDPR compliance

Cloud platforms

Herramientas

Docker

Linux

Azure

GCP

Databricks

Spark

MLflow

GitHub

Descripción del empleo

INNOCV Solutions, part of the Alkemy Group, focuses on AI-powered digital evolution and scalable data pipelines. You will design and implement AI solutions aligned with business needs, leveraging RAG, expert agents, and LangChain to create modular architectures for data retrieval and decision-making.

Collaborate with design and product teams; work with LLMs such as Gemini and Llama, ensure security, and optimize performance with DevOps/MLOps practices across clouds like Azure and GCP.