{"id":3349153,"url":"https://alion.io/job/izertis-senior-agentic-ai-engineer","title":"Senior Agentic AI Engineer","company":{"id":53689,"name":"Izertis","domain":"izertis.com","url":"https://alion.io/company/izertis","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Career sitemap","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Madrid, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":59000,"max_usd":122000,"period":"year","method":"role_seniority_country_cell","sample_n":11},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AgentOps","optional":false},{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"CI/CD","optional":false},{"name":"Digital Twin","optional":false},{"name":"Docker","optional":false},{"name":"DPO","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Knowledge Distillation","optional":false},{"name":"Kubernetes","optional":false},{"name":"Langfuse","optional":false},{"name":"LangGraph","optional":false},{"name":"LangSmith","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LoRA","optional":false},{"name":"Machine Learning","optional":false},{"name":"Milvus","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Model Distillation","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Multimodal AI","optional":false},{"name":"NLP","optional":false},{"name":"pgvector","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Qdrant","optional":false},{"name":"QLoRA","optional":false},{"name":"Quantization","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"RLHF","optional":false},{"name":"SFT","optional":false},{"name":"Synthetic Data","optional":false},{"name":"Weaviate","optional":false},{"name":"Anthropic SDK","optional":true},{"name":"AutoCAD","optional":true},{"name":"AutoGen","optional":true},{"name":"CrewAI","optional":true},{"name":"Edge AI","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangChain","optional":true},{"name":"LlamaIndex","optional":true},{"name":"OCR","optional":true},{"name":"Open3D","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"PEFT","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-27T18:05:31Z","employer_posted_date":"2026-10-27","last_verified_at":"2026-10-28T17:33:19Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Madrid\nInformática y telecomunicaciones\nAdministración de bases de datos\nServicios y tecnología de la información\nCompleta\nTeletrabajo/Remoto\nMando Intermedio\nTelecomunicaciones\n\nSenior Agentic AI Engineer\nPublicada\n23 de Octubre\nHello!\nAt 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.\nWe 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.\nAbout MBC\nMay 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.\nWe have offices in Spain and the United Kingdom.\nWe work on international projects with financial institutions, fintech companies, and startups.\nAbout the Role\nWe are looking for a Senior Agentic AI Engineer with extensive experience designing, developing, and deploying production-ready AI agents and multi-agent architectures.\nYou will play a key role in building intelligent systems that combine LLMs, advanced reasoning, model orchestration, retrieval-augmented generation (RAG), and engineering intelligence.\nThe 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.\nResponsibilities\nAgentic AI Architecture & Multi-Agent Systems\nDesign, develop, and deploy multi-agent orchestration architectures using LangGraph, including planning, routing, reasoning loops, state management, and human-in-the-loop approvals.\nBuild Mixture-of-Agents (MoA) workflows to coordinate specialized agents and improve decision-making.\nImplement Mixture-of-Experts (MoE) and Mixture-of-Thoughts (MoT) strategies to optimize model performance, latency, and cost.\nDevelop secure agent interoperability using MCP, A2A, and ACP protocols.\nImplement agent memory, context management, tool calling, approval workflows, and traceability.\nLLMs, RAG & Model Development\nBuild advanced RAG pipelines, including document extraction, embeddings, vectorization, and hybrid search.\nWork with vector databases such as pgvector, Qdrant, Weaviate, or Milvus.\nFine-tune and deploy open-weight language models using LoRA, QLoRA, PyTorch, and distributed training frameworks.\nDevelop and optimize Small Language Models (SLMs) for efficient cloud, on-premise, and edge deployment.\nApply model training techniques including supervised fine-tuning, RLHF, DPO, distillation, and quantization.\nExplore multimodal AI solutions combining text, images, 3D data, and engineering documentation.\nEngineering Intelligence & Simulation\nIntegrate AI agents with CAD/BIM data, digital twins, and simulation environments.\nDevelop hybrid AI solutions combining rules-based reasoning and machine learning.\nImplement optimization algorithms, graph search, constraint solving, and explainable decision-making.\nExplore world foundation models, including NVIDIA Cosmos, for simulation, synthetic data generation, and physical reasoning.\nMLOps, AgentOps & Deployment\nBuild and maintain scalable MLOps and AgentOps pipelines, including CI/CD, versioning, monitoring, and model evaluation.\nImplement observability and tracing using LangSmith, Langfuse, or similar tools.\nEstablish AI guardrails, reliability mechanisms, and performance evaluation frameworks.\nDeploy secure AI solutions using Docker, Kubernetes, Linux, GPU cloud infrastructure, and private on-premise environments.\nCollaborate with multidisciplinary engineering teams to deliver reliable, production-ready AI solutions.\nRequirements\nMaster's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, Computational Engineering, or a related field.\n6+ years of software engineering experience, including at least 3 years developing production ML, NLP, or LLM systems.\nExpert-level proficiency in Python and strong experience with modern C++ (C++17 or later).\nProven hands-on experience with LangGraph and production multi-agent systems.\nStrong knowledge of MCP, A2A, and ACP protocols and secure agent communication.\nAdvanced experience with RAG, embeddings, vector databases, and hybrid retrieval systems.\nSolid understanding of MoE, MoA, and MoT architectures.\nPractical experience with PyTorch, model fine-tuning, LoRA/QLoRA, RLHF/DPO, and distributed training.\nStrong understanding of SLMs, multimodal models, and agentic AI runtime architectures.\nExperience developing rules-based or hybrid AI/ML systems.\nStrong background in MLOps, Docker, Kubernetes, CI/CD, model serving, and monitoring.\nKnowledge of REST APIs, gRPC, networking, and secure cloud/on-premise deployments.\nFamiliarity with digital twins, simulation, and world foundation models such as NVIDIA Cosmos.\nFluent English, both written and spoken, with excellent communication skills.\nNice to Have\nAdditional technical experience\nExperience in engineering, energy, plant design, EPC, hydrogen, water, or biomethane projects.\nKnowledge of 3D, CAD, or BIM technologies, including IFC, Revit, Navisworks, or AutoCAD.\nExperience with point cloud processing, Open3D, PCL, or optimization tools such as OR-Tools.\nFamiliarity with other AI agent frameworks such as CrewAI, AutoGen, LlamaIndex, OpenAI Agents SDK, or Anthropic SDK.\nExperience with Document AI, OCR, knowledge graphs, or edge AI deployment.\nContributions to open-source AI projects or research publications.\nPersonal skills\nProactive mindset and strong problem-solving abilities.\nMotivation for continuous learning and professional development.\nEmpathy and excellent teamwork skills.\nStrong attention to detail and analytical thinking.\nCustomer-oriented approach and ability to work in international, multidisciplinary environments.\nWhat We Offer\nCompetitive salary package: We adapt to your experience and salary expectations.\nFlexible compensation: Health insurance, meal vouchers, training benefits, and more.\nFree professional training to support your career development.\nFree English classes, depending on your level.\nThe opportunity to participate in challenging international projects involving innovative technologies.\nA collaborative, dynamic, and supportive working environment.\nOpportunities for professional growth in a continuously evolving sector.\nCandidates holding a disability certificate of 33% or higher will be positively considered.\nAt 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.\nLocation: Spain - Remote\nJoin a growing international consulting company and take the next step in your professional career. 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