Senior Agentic AI Engineer

Madrid

Informática y telecomunicaciones

Administración de bases de datos

Servicios y tecnología de la información

Completa

Teletrabajo/Remoto

Mando Intermedio

Telecomunicaciones

Senior Agentic AI Engineer

Publicada

23 de Octubre

Hello!

At MBC, we are continuing to grow, and we are now looking for a Senior Agentic AI Engineer to join an innovative project focused on Agentic AI, multi-agent systems, advanced machine learning, and intelligent engineering solutions.

We are looking for a highly skilled professional withstrong expertise in AI architecture, LLMs, Python, C++, and production-grade AI systems, who is passionate about building scalable, reliable, and cutting-edge AI solutions.

About MBC

May Business Consulting is an international consulting firm providing advisory services in digital transformation, change management, efficiency, and control. We take a fully client-centric approach, proactively engaging in every project to maximize the value we deliver.

We have offices in Spain and the United Kingdom.

We work on international projects with financial institutions, fintech companies, and startups.

About the Role

We are looking for a Senior Agentic AI Engineer with extensive experience designing, developing, and deploying production-ready AI agents and multi-agent architectures.

You will play a key role in building intelligent systems that combine LLMs, advanced reasoning, model orchestration, retrieval-augmented generation (RAG), and engineering intelligence.

The ideal candidate has a strong software engineering background, hands-on experience with LangGraph, agent communication protocols, model training, and MLOps, and the ability to transform complex technical requirements into robust AI solutions.

Responsibilities

Agentic AI Architecture & Multi-Agent Systems

• Design, develop, and deploy multi-agent orchestration architectures using LangGraph, including planning, routing, reasoning loops, state management, and human-in-the-loop approvals.
• Build Mixture-of-Agents (MoA) workflows to coordinate specialized agents and improve decision-making.
• Implement Mixture-of-Experts (MoE) and Mixture-of-Thoughts (MoT) strategies to optimize model performance, latency, and cost.
• Develop secure agent interoperability using MCP, A2A, and ACP protocols.
• Implement agent memory, context management, tool calling, approval workflows, and traceability.

LLMs, RAG & Model Development

• Build advanced RAG pipelines, including document extraction, embeddings, vectorization, and hybrid search.
• Work with vector databases such as pgvector, Qdrant, Weaviate, or Milvus.
• Fine-tune and deploy open-weight language models using LoRA, QLoRA, PyTorch, and distributed training frameworks.
• Develop and optimize Small Language Models (SLMs) for efficient cloud, on-premise, and edge deployment.
• Apply model training techniques including supervised fine-tuning, RLHF, DPO, distillation, and quantization.
• Explore multimodal AI solutions combining text, images, 3D data, and engineering documentation.

Engineering Intelligence & Simulation

• Integrate AI agents with CAD/BIM data, digital twins, and simulation environments.
• Develop hybrid AI solutions combining rules-based reasoning and machine learning.
• Implement optimization algorithms, graph search, constraint solving, and explainable decision-making.
• Explore world foundation models, including NVIDIA Cosmos, for simulation, synthetic data generation, and physical reasoning.

MLOps, AgentOps & Deployment

• Build and maintain scalable MLOps and AgentOps pipelines, including CI/CD, versioning, monitoring, and model evaluation.
• Implement observability and tracing using LangSmith, Langfuse, or similar tools.
• Establish AI guardrails, reliability mechanisms, and performance evaluation frameworks.
• Deploy secure AI solutions using Docker, Kubernetes, Linux, GPU cloud infrastructure, and private on-premise environments.
• Collaborate with multidisciplinary engineering teams to deliver reliable, production-ready AI solutions.

Requirements

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Engineering, or a related field.
• 6+ years of software engineering experience, including at least 3 years developing production ML, NLP, or LLM systems.
• Expert-level proficiency in Python and strong experience with modern C++ (C++17 or later).
• Proven hands-on experience with LangGraph and production multi-agent systems.
• Strong knowledge of MCP, A2A, and ACP protocols and secure agent communication.
• Advanced experience with RAG, embeddings, vector databases, and hybrid retrieval systems.
• Solid understanding of MoE, MoA, and MoT architectures.
• Practical experience with PyTorch, model fine-tuning, LoRA/QLoRA, RLHF/DPO, and distributed training.
• Strong understanding of SLMs, multimodal models, and agentic AI runtime architectures.
• Experience developing rules-based or hybrid AI/ML systems.
• Strong background in MLOps, Docker, Kubernetes, CI/CD, model serving, and monitoring.
• Knowledge of REST APIs, gRPC, networking, and secure cloud/on-premise deployments.
• Familiarity with digital twins, simulation, and world foundation models such as NVIDIA Cosmos.
• Fluent English, both written and spoken, with excellent communication skills.

Nice to Have

Additional technical experience

• Experience in engineering, energy, plant design, EPC, hydrogen, water, or biomethane projects.
• Knowledge of 3D, CAD, or BIM technologies, including IFC, Revit, Navisworks, or AutoCAD.
• Experience with point cloud processing, Open3D, PCL, or optimization tools such as OR-Tools.
• Familiarity with other AI agent frameworks such as CrewAI, AutoGen, LlamaIndex, OpenAI Agents SDK, or Anthropic SDK.
• Experience with Document AI, OCR, knowledge graphs, or edge AI deployment.
• Contributions to open-source AI projects or research publications.

Personal skills

• Proactive mindset and strong problem-solving abilities.
• Motivation for continuous learning and professional development.
• Empathy and excellent teamwork skills.
• Strong attention to detail and analytical thinking.
• Customer-oriented approach and ability to work in international, multidisciplinary environments.

What We Offer

• Competitive salary package: We adapt to your experience and salary expectations.
• Flexible compensation: Health insurance, meal vouchers, training benefits, and more.
• Free professional training to support your career development.
• Free English classes, depending on your level.
• The opportunity to participate in challenging international projects involving innovative technologies.
• A collaborative, dynamic, and supportive working environment.
• Opportunities for professional growth in a continuously evolving sector.

Candidates holding a disability certificate of 33% or higher will be positively considered.

At MBC, equity, diversity, and inclusion are fundamental to our recruitment policy. We are committed to fostering an inclusive, respectful workplace where everyone has the opportunity to develop their talent.

Location: Spain - Remote

Join a growing international consulting company and take the next step in your professional career. Work on innovative AI projects, collaborate with talented professionals, and contribute to the development of next-generation intelligent systems.

We look forward to receiving your application!

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