Design and implement the corporate LLM Gateway, managing provider abstraction and security mechanisms. Optimize model consumption regarding cost, performance, and latency while defining governance and monitoring policies.
Remote AI Engineer Jobs in Spain (63)
Search = AI Engineer
Remote in = Spain
Design and build data pipelines and infrastructure to transform raw data into high-signal training sets for AI agents. Develop and optimize ML systems focusing on retrieval, ranking, and structured extraction to improve agent behavior and reliability.
Design architectures and best practices for Generative AI using Microsoft Copilot. Define AI adoption strategies for enterprise environments and engage with C-level stakeholders.
Responsibilities include developing, training, validating, and optimizing Machine Learning and Deep Learning models, while also integrating Generative AI and LLMs into various solutions. The role also covers developing and maintaining robust data pipelines, extracting and validating large datasets, and interpreting data to uncover business opportunities.
Develop autonomous AI agents capable of financial decision-making and task execution. Build and integrate REST APIs and agentic workflows using LLMs and emerging communication protocols.
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Design and implement intelligent conversational agents using agent-based architectures and LLMs. Integrate these agents with corporate systems, REST APIs, and cloud environments like GCP Vertex AI while ensuring scalability and quality.
System Operations Engineer - AI Trainer - Freelance - 8-20hrs/week - Remote
10x Team
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Full Time
·
Yesterday
10x Team
Review and refine AI-generated content and workflows related to system operations and automation. Develop real-world use cases and risk assessments to improve how AI models reason about operational challenges.
Design and implement AI solutions using RAG and agentic architectures to solve complex business problems. Manage data ingestion pipelines and deploy models using MLOps and serverless architectures.
![Product Hackers is hiring for remote AI Engineer (Software Engineer) [España]](/assets/231b340d-bd45-480f-8e4d-23e31cf44ac5.png){kind=small}
Design and develop scalable backend logic and AI architectures using Python and TypeScript. Build and optimize multi-agent systems and integrate LLMs with external data and APIs using MCP.
Build backend services to integrate AI capabilities into payroll workflows. Collaborate with ML engineers and operations to develop real-world AI-powered tools.
Design, implement, and integrate conversational agents based on Generative AI and LLMs for a major consumer sector client. Focus on creating agent-based architectures, managing non-deterministic flows, and integrating AI agents with backend systems and messaging platforms.
Design and develop scalable backend logic and AI architectures using Python and TypeScript. Build and optimize multi-agent systems and integrate LLMs with external data and APIs using MCP.
Lead the adoption of AI across the engineering function by designing agentic workflows and RAG systems to automate software development tasks. Partner with leadership and stakeholders to translate business needs into scalable, secure, and customer-centric AI-powered solutions.
Develop and productionize cutting-edge GenAI solutions to solve customer problems and serve as a trusted technical advisor. Collaborate cross-functionally with product and engineering teams to influence the strategic roadmap and present at industry conferences.
Python Engineer – AI Agents & LLM Systems
INNOCV Solutions S.L.U.
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Full Time
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3 Weeks Ago
INNOCV Solutions S.L.U.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines and deploy models using MLOps practices and serverless architectures.
Senior Python Engineer – AI Agents & LLM Systems
INNOCV Solutions S.L.U.
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Full Time
·
3 Weeks Ago
INNOCV Solutions S.L.U.
Design and implement AI solutions using RAG and autonomous agent networks to solve complex business problems. Manage data ingestion pipelines, serverless architectures, and MLOps practices to automate the deployment of AI models.
Design and build autonomous AI agent systems and agentic workflows to solve complex business problems. Implement generative AI solutions in production, including advanced RAG systems and intelligent chatbots, while integrating them into existing product stacks.
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Senior Platform Engineer - AI Platform team (100% Remote within Spain)
Docplanner
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Full Time
·
3 Weeks Ago
Docplanner
Design, implement, and manage the AI Platform architecture while controlling costs for models and GPUs. Collaborate with ML and Product teams to operationalize AI models and ensure high availability and scalability of services.
Conversational AI Engineer Conversational AI Engineer
Foundever®
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Full Time
·
3 Weeks Ago
Foundever®
Develop and deploy Conversational AI solutions including chatbots and voicebots using LLMs and Agentic AI. Manage technical integrations, prompt engineering, and the maintenance of STT/TTS systems to ensure high-quality automation.
Build and ship end-to-end product features across the full stack while integrating AI-powered capabilities and automation. Collaborate with founders to scale the platform, optimize onboarding flows, and maintain data pipelines.
You will own the infrastructure for provisioning, deploying, and managing AI agents at scale on AWS. This involves designing event-driven communication, ensuring system reliability, and building robust observability.
Evaluate and analyze LLM performance while architecting and building inference and training pipelines. You will contribute to hands-on design, model training, and deployment strategies within a technical greenfield project.
The AI Software QA Engineer is responsible for testing, validating, and ensuring the quality of AI-enabled systems and backend APIs. They will design and execute automated test cases while collaborating with developers and AI engineers in an agile environment.
Lead the development of a new AI-powered product from initial architecture to production-ready code. Design and build sophisticated conversational experiences and agentic workflows while setting engineering standards for the team.
You will design, build, and evolve machine learning systems that power Hopper's pricing engine to manage financial risk and customer demand. This involves developing real-time ML solutions, managing ETL pipelines, and collaborating with cross-functional teams to deliver scalable pricing outcomes.
Architect and code sophisticated AI modules, including high-performance embedding pipelines and advanced retrieval evaluators. Lead the integration of intelligent agent services with internal and external APIs while driving agile excellence across cross-functional teams.
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Design and develop production-level React applications for a generative AI platform, including agent dashboards and document intelligence interfaces. Integrate front-end applications with RESTful and event-based back-end APIs while ensuring performance, accessibility, and real-time visualization of AI model outputs.
Lead the design, development, and deployment of production-grade LLM-powered applications and internal tools. Establish and evolve evaluation strategies, metrics, and best practices for reliability, safety, and performance.
Design, develop, and evolve generative AI systems including agentic workflows and RAG pipelines in production. Collaborate as a senior technical lead to provide architectural guidance and implement best practices across business teams.
Design and implement AI agents to enhance optimization applications while architecting the integration of Gurobi's solver into new AI features. Collaborate with cross-functional teams to define AI requirements, troubleshoot performance issues, and serve as an internal subject matter expert.
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