Remote AI Engineer Jobs in Spain (65)

AI Engineer

Design and develop applications based on LLMs, RAG architectures, and AI agents. Collaborate with cross-functional teams to integrate foundational models and optimize AI solutions for production.

AI Engineer Senior | Multi-Agent Systems & Conversational AI (LangGraph, AWS)

Design and develop complex multi-agent systems or conversational AI flows using LLMs and orchestration frameworks. Implement robust evaluation, observability, and monitoring strategies for AI systems deployed in production environments.

Full-stack AI engineer (LATAM) | Full-Time #PAR1

You will own a specific lane of the product, building screens and server code while ensuring data isolation between tenants. Additionally, you will review code generated by AI agents and maintain high standards through rigorous testing and pull request reviews.

AI Engineer

Design, build, and operate data pipelines and infrastructure to support reliable AI and LLM-powered applications. Collaborate with cross-functional teams to integrate AI workloads with lakehouse platforms while ensuring data quality, security, and operational excellence.

Backend AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with multi-agent backends. Develop high-performance visualization tools and low-latency streaming pipelines to enable human-in-the-loop control for autonomous systems.

Lead Fullstack AI Engineer

Design and build the operator control plane for an enterprise AgenticOps platform, connecting real-time web interfaces with asynchronous multi-agent backends. Develop high-performance visual interfaces for network topology and implement low-latency streaming pipelines for real-time agent telemetry.

AI Engineer

You will design and implement agentic workflows and evaluation systems to ensure robust performance of AI agents in production. You will also own the end-to-end lifecycle of AI systems, including monitoring, latency optimization, and diagnosing production failures.

Principal Applied AI Engineer

Lead a high-performing product team to develop and integrate Cephai-powered AI capabilities into the CINC platform. Collaborate with cross-functional leaders to design production-grade systems that solve client problems while maintaining operational reliability.

Senior Applied AI Engineer

Design and develop LLM-powered systems while diagnosing and improving AI performance through rigorous experimentation and evaluation. Provide technical leadership by mentoring engineers and defining architectural standards for production-ready AI applications.

AI Engineer - Voice & Agentic Systems 29 applicants

You will design, build, and maintain end-to-end voice agents using LLM orchestration, FastAPI services, and real-time telephony pipelines. You are responsible for the entire agent lifecycle, from initial prompting to managing high-concurrency production calls.

Applied AI Engineer - Operations

AI Engineer (LLM systems)

You will design and improve AI systems that outperform frontier models on specific high-stakes tasks. The role focuses on maximizing the performance of LLMs through complex system architectures and iterative testing.

AI Engineer Mid-Level

You will develop and implement intelligent agents and RAG solutions using Microsoft Azure technologies. Additionally, you will participate in the deployment, monitoring, and quality assurance of AI systems within a specialized team.

AI Engineer Senior

Design and develop advanced Generative AI solutions, multi-agent systems, and RAG architectures within the Microsoft Azure ecosystem. Collaborate with multidisciplinary teams to deploy scalable, secure, and efficient AI solutions while providing technical leadership and guidance.

Generative AI Engineer

Design and develop LLM-based agents with tool calling, memory, and orchestration while managing pipelines for information retrieval. Deploy and operate AWS-based solutions using infrastructure as code and ensure observability, latency, and response quality.

Senior Agentic AI Engineer 11 applicants

Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.

11090 - AI Engineer Pleno | AI Automation - Sênior

Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.

AI Engineer 12 applicants

Develop and validate statistical programming code to support clinical trial data analysis and reporting. Collaborate with data scientists and statisticians to ensure data requirements and regulatory standards are met.

Agentic AI Engineer (Computer Vision) - Remote 14 applicants

You will build and maintain automated synthetic data pipelines and agentic workflows to train and improve computer vision models. Additionally, you will lead research on vision-language models and develop systems that enable agents to autonomously solve detection and classification problems.

AI Engineer (Generative AI / LLMs / RAG) – Python / LangChain – Remoto (España)

Develop AI agents based on LLMs and design/implement RAG pipelines for technical documentation and code analysis. Optimize and scale AI models in production while collaborating with multidisciplinary teams.

Generative AI Engineer

You will bridge the gap between functional design and technical implementation by creating low-level designs and prototype code for agentic AI systems. This involves running independent proofs of concept, proving integration patterns, and documenting solutions for a distributed development team.

Senior AI Engineer - ( MCP & LLM Integration) 12 applicants

The role involves leading the development of enterprise Model Context Protocol (MCP) integrations and establishing governed multi-model access. You will be responsible for building reference servers, connecting agentic workflows, and implementing model evaluation and observability frameworks.

AI ENGINEER

The AI Engineer will design, build, and optimize machine learning models and AI solutions to support enterprise automation and intelligent decision-making. They will also collaborate with cloud and engineering teams to deploy models and manage data pipelines.

Senior AI Engineer

Design and maintain production-grade agentic systems, including multi-agent orchestration and RAG pipelines grounded in company data. Implement AI infrastructure on AWS while ensuring compliance, safety, and high-quality output through rigorous evaluation frameworks.

AI Engineer 12 applicants

You will build tools to evaluate agent behavior, analyze traces, and implement features for automatic self-improvement. Additionally, you will run experiments on Mastra primitives to optimize configuration and performance.

AI Engineer

Design, develop, and implement Generative AI and Agentic AI solutions using platforms like Azure AI Foundry and Amazon Bedrock. Integrate intelligent agents with corporate systems and APIs while optimizing performance and scalability.

Generative AI Engineer 14 applicants

The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.

AI Engineer

Design, develop, and deploy multi-agent AI systems and RAG pipelines for reasoning and task execution. Collaborate with engineering teams to integrate data sources and implement observability frameworks for model performance monitoring.

Agentic AI Engineer

You will own the end-to-end architecture of AI trading agents, including orchestration, model routing, and the evaluation layer for strategy quality. You will also build data foundations and ensure system observability to maintain high-performance, statistically sound trading strategies.

Senior Generative AI Engineer

Design and develop scalable backend services and production-ready Generative AI solutions using LLMs. Collaborate with cross-functional teams to optimize AI workflows and contribute to software architecture and engineering best practices.