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AI ENGINEER SR – INGLES – REMOTO
IRIUM - Spain
Spain
Remote
EUR 40,000 - 70,000
Full time
30+ days ago
Job summary
IRIUM busca un/a AI ENGINEER SR para liderar proyectos remotos. La función incluye diseñar sistemas multi-agentes en AWS, definir la arquitectura y colaborar con equipos técnicos. Se requiere experiencia en sistemas basados en LLM y habilidades de liderazgo. Ofrecen un contrato indefinido, retribución flexible y 23 días de vacaciones.
Benefits
Retribución flexible
Acceso ilimitado a formación tecnológica
Club de beneficios para empleados
Qualifications
- Experiencia probada en el diseño de sistemas basados en LLM.
- Fuerte experiencia en arquitecturas de sistemas AI.
- Conocimiento sólido de la seguridad de los LLM y mitigación de alucinations.
Responsibilities
- Liderar el diseño técnico y desarrollo de un sistema multi-agente potenciado por IA.
- Definir la arquitectura general y la estrategia de agentes.
- Supervisar la integración de mecanismos de búsqueda vectorial y sistemas de memoria.
Skills
Python
AI & Agent Orchestration
LLM Safety
Vector Search
Education
Grado en Inteligencia Artificial o campos relacionados
Tools
AWS
LangChain
FAISS
Job description
En IRIUM nos preocupamos porque no dejes de perseguir tus sueños. Prepárate para conquistar tus metas, y ten siempre presente disfrutar del camino. Estamos buscando un/a AI ENGINEER SR para un proyecto remoto.
¿Qué buscamos?:
RESPONSIBILITIES
• Lead the technical design and development of an AI-powered multi-agent system deployed on AWS, with RAG pipelines, LLM guardrails, and external service integrations.
• Define the overall architecture and agent strategy, ensuring modularity, scalability, and traceability of AI decision processes.
• Guide the development and orchestration of agents responsible for knowledge retrieval (RAG), ticket r esolution, API interaction (e.g., SharePoint), and user interaction flows.
• Oversee the integration of vector search mechanisms, memory systems, and retrieval pipelines over internal document repositories.
• Define standards for LLM safety, grounding, and guardrails, and supervise the implementation of mitigation strategies.
• Collaborate with DevOps, Frontend, and Backend teams to ensure infrastructure, UI, and APIs align with AI requirements.
• Review and validate experimental results, fine-tune model behaviors, and supervise performance evaluation pipelines.
• Mentor AI engineers, coordinate tasks within the AI team, and contribute to roadmap definition and delivery planning.
• Serve as the main technical referent in AI, ensuring best practices, documentation, and maintainability.
TECHNOLOGY STACK
• AI & Agent Orchestration: Python, LangChain, CrewAI, Semantic Kernel, OpenAI API, Claude, local LLMs (e.g., Llama2, Mistral)
• RAG & Vector DBs: FAISS, Weaviate, Qdrant, Pinecone, AWS Kendra
• Guardrails & Safety: Guardrails AI, LlamaIndex, prompt validation tools
• Cloud Platform: AWS (Lambda, S3, API Gateway, Cognito, SageMaker/AzureML optional)
• APIs & Integration: REST APIs, SharePoint Graph API, JSON schemas
• Experiment Tracking & Observability: MLflow, Weights & Biases, CloudWatch, custom dashboards
• Collaboration: Confluence, Jira, Git
REQUIREMENTS
• Proven experience designing and implementing LLM-based systems, including multi-agent architectures and retrieval-augmented generation (RAG) pipelines.
• Strong background in AI system architecture, with hands-on experience in agent orchestration frameworks and prompt engineering.
• Deep understanding of LLM safety, hallucination mitigation, and implementation of guardrails.
• Solid knowledge of vector search, embedding models, and knowledge base retrieval strategies.
• Experience working with AWS-based ML pipelines and integrating with enterprise systems (e.g., SharePoint).
• Demonstrated ability to lead technical teams, mentor peers, and drive AI initiatives from design to production.
• Strong coding skills in Python and familiarity with modern LLM APIs and tools.
• Fluent in English (spoken and written); Spanish is a plus.
• Background in Artificial Intelligence, Machine Learning, or related technical fields.
¿Qué Ofrecemos?
Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte.
IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!
Podemos construir juntos el futuro. ¿Hablamos?
????????
¿Qué buscamos?:
RESPONSIBILITIES
• Lead the technical design and development of an AI-powered multi-agent system deployed on AWS, with RAG pipelines, LLM guardrails, and external service integrations.
• Define the overall architecture and agent strategy, ensuring modularity, scalability, and traceability of AI decision processes.
• Guide the development and orchestration of agents responsible for knowledge retrieval (RAG), ticket r esolution, API interaction (e.g., SharePoint), and user interaction flows.
• Oversee the integration of vector search mechanisms, memory systems, and retrieval pipelines over internal document repositories.
• Define standards for LLM safety, grounding, and guardrails, and supervise the implementation of mitigation strategies.
• Collaborate with DevOps, Frontend, and Backend teams to ensure infrastructure, UI, and APIs align with AI requirements.
• Review and validate experimental results, fine-tune model behaviors, and supervise performance evaluation pipelines.
• Mentor AI engineers, coordinate tasks within the AI team, and contribute to roadmap definition and delivery planning.
• Serve as the main technical referent in AI, ensuring best practices, documentation, and maintainability.
TECHNOLOGY STACK
• AI & Agent Orchestration: Python, LangChain, CrewAI, Semantic Kernel, OpenAI API, Claude, local LLMs (e.g., Llama2, Mistral)
• RAG & Vector DBs: FAISS, Weaviate, Qdrant, Pinecone, AWS Kendra
• Guardrails & Safety: Guardrails AI, LlamaIndex, prompt validation tools
• Cloud Platform: AWS (Lambda, S3, API Gateway, Cognito, SageMaker/AzureML optional)
• APIs & Integration: REST APIs, SharePoint Graph API, JSON schemas
• Experiment Tracking & Observability: MLflow, Weights & Biases, CloudWatch, custom dashboards
• Collaboration: Confluence, Jira, Git
REQUIREMENTS
• Proven experience designing and implementing LLM-based systems, including multi-agent architectures and retrieval-augmented generation (RAG) pipelines.
• Strong background in AI system architecture, with hands-on experience in agent orchestration frameworks and prompt engineering.
• Deep understanding of LLM safety, hallucination mitigation, and implementation of guardrails.
• Solid knowledge of vector search, embedding models, and knowledge base retrieval strategies.
• Experience working with AWS-based ML pipelines and integrating with enterprise systems (e.g., SharePoint).
• Demonstrated ability to lead technical teams, mentor peers, and drive AI initiatives from design to production.
• Strong coding skills in Python and familiarity with modern LLM APIs and tools.
• Fluent in English (spoken and written); Spanish is a plus.
• Background in Artificial Intelligence, Machine Learning, or related technical fields.
- RESIDENCIA EN ESPAÑA
- INGLES: Mínimo B2
¿Qué Ofrecemos?
- Lugar de trabajo: REMOTO – RESIDENCIA EN ESPAÑA
- Contrato indefinido con IRIUM
- Retribución flexible
- Banda salarial: Según valía y experiencia
- 23 días de vacaciones ️
- Buen clima laboral ️️
- Acceso ilimitado a formación tecnológica puntera en modalidad barra libre.
- Club de beneficios para empleados con descuentos directos y miles de ofertas en marcas, hoteles, agencias de viaje, cines, ropa…
Pasarás a formar parte de un gran equipo de personas que estarán siempre dispuestas a ayudarte.
IRIUM es una empresa formada por profesionales con inquietudes, dinámicos y resolutivos. Nuestros valores son la responsabilidad y el compromiso con el trabajo bien hecho, este es el espíritu que buscamos en IRIUM, sea cual sea tu edad, si te reconoces ¡esta es tu empresa!
Podemos construir juntos el futuro. ¿Hablamos?
????????
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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