> Markdown version of [/jobs/ext/2993433-ai-engineer-for-generative-ai-systems](https://www.wearedevelopers.com/jobs/ext/2993433-ai-engineer-for-generative-ai-systems). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Ai Engineer For Generative Ai Systems - **Company:** Enfint - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Programming, Computer Engineering, Graph Database, Python (Programming Language), Machine Learning, Open Source Technology, Semantic Web, Systems Integration, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Data Pipelines - **Published:** September 19, 2026 - **Apply:** https://www.buscojobs.com.es/ai-engineer-for-generative-ai-systems-en-madrid-ID-370509254 ## About the Role Design and implement advanced artificial intelligence systems based on large language models (LLMs), including fine-tuning, LoRA, and PEFT techniques; Build and optimize model evaluation pipelines by defining metrics and validation frameworks beyond standard benchmarks; Develop intelligent agent architectures using frameworks such as LangChain, LangGraph, or AWS AgentCore; Design and implement multi-agent systems with planning, tools, and memory capabilities, integrating structured knowledge bases and retrieval-augmented generation (RAG). ?????????? University degree: Bachelor's and/or Master's degree in Computer Engineering, Mathematics, Physics, or related fields; Experience developing, evaluating, and optimizing production AI/ML solutions based on LLMs, including fine-tuning, PEFT, LoRA, or instruction tuning, with metric definition and model behavior analysis; Experience programming with Python; English at least B2; Knowledge and experience using generative artificial intelligence and AI tools applied to the workplace; Nice to have: Experience designing and operating AI systems and scalable data pipelines in production environments, including contexts requiring reliability, explainability, or auditability; experience with advanced AI technologies such as agent frameworks, LangChain, LangGraph, AWS AgentCore, multi-agent systems, and contributions to knowledge graphs, semantic web, or open-source projects. ## Description ????????Accenture is a global professional services company that helps leading businesses, public administrations, and other organizations develop their digital core, optimize operations, accelerate revenue growth, and improve citizen services.??????Design and implement advanced artificial intelligence systems based on large language models (LLMs), including fine-tuning, LoRA, and PEFT techniques; Build and optimize model evaluation pipelines by defining metrics and validation frameworks beyond standard benchmarks; Develop intelligent agent architectures using frameworks such as LangChain, LangGraph, or AWS AgentCore; Design and implement multi-agent systems with planning, tools, and memory capabilities, integrating structured knowledge bases and retrieval-augmented generation (RAG).??????????University degree: Bachelor's and/or Master's degree in Computer Engineering, Mathematics, Physics, or related fields; Experience developing, evaluating, and optimizing production AI/ML solutions based on LLMs, including fine-tuning, PEFT, LoRA, or instruction tuning, with metric definition and model behavior analysis; Experience programming with Python; English at least B2; Knowledge and experience using generative artificial intelligence and AI tools applied to the workplace; Nice to have: Experience designing and operating AI systems and scalable data pipelines in production environments, including contexts requiring reliability, explainability, or auditability; experience with advanced AI technologies such as agent frameworks, LangChain, LangGraph, AWS AgentCore, multi-agent systems, and contributions to knowledge graphs, semantic web, or open-source projects.???????Hybrid work model with some days from home and others in the office; Applicants must reside in Spain and have work authorization in Spain; Medical, life, and accident insurance; Medical service and wellness programs; Flexible compensation program and share purchase plan; Flexible programs for working hours, days off, and vacations; Individualized training plan; Sustainability programs and Accenture Foundation; Diversity employee network; Bankinter office with special conditions and profit sharing.#J-*****-Ljbffr