Principal MLOps Engineer - GenAI Platforms
1 day ago
Marbella
Principal MLOps Engineer - GenAI Platforms Location: Remote from Spain (an indefinite Spanish employment contract) La siguiente información ofrece un resumen de las habilidades, cualidades y cualificaciones necesarias para este puesto. We are looking for a seasoned MLOps Engineer with strong technology and consulting experience to join the AI/ML Practice team at Intellias. Join us to blueprint GenAI platforms and establish LLMOps practices for client teams across industries, partnering from presales and discovery through PoC to production. Requirements: • 7+ years in MLOps/platform architecture or adjacent roles, with shipped AI systems, • Proficient Python and strong software engineering principles, • Deep experience with at least one major cloud (AWS/Azure/GCP) and platform engineering (containers, Kubernetes, IaC such as Terraform), • Experience in designing and guiding scalable machine learning pipelines for model training, validation, and deployment, • Proven CI/CD design for GenAI/ML (evaluation gates, versioning, canary, rollback) and collaboration with security/governance stakeholders, • Sound judgement selecting RAG/vector and provider stacks based on performance, cost, compliance, and portability, • Agent orchestration frameworks (e.g., LangGraph/Semantic Kernel) and tooling protocols (e.g., MCP), • Experience operationalizing multi-agent systems (tools/routing/memory/guardrails, human-in-the-loop), • Process automation and enterprise integrations, • Excellent communication and interpersonal skills to collaborate effectively with cross-functional teams, stakeholders' leadership, • Upper-intermediate level of English Nice to have: • Master or higher degree in Computer Science, Engineering, or related field, • On-prem LLM deployments; performance and cost tuning with caching and model routing, • AI safety, policy, and compliance experience in sensitive environments, • Public speaking and enablement and building reusable accelerators, • Domain exposure in automotive, retail, manufacturing, healthcare, energy, finance, or telecom Responsibilities: • Lead discovery with stakeholders and define adoption roadmaps and reference architectures, • Set lifecycle practices for GenAI (LLMOps), • Architect retrieval and provider layers (RAG, vector stores, model gateways) with portability, cost, and compliance in mind, • Implement RAG/agent workflows that orchestrate tool-calling, retrieval, and grounded answering, • Enable agentic applications at platform level and define solution patterns and evaluation gates (standardized tools, routing, shared memory, HIL, safe fallbacks) aligned with enterprise integration, security, and cost, • Set standards for ingestion, chunking, embedding, and indexing pipelines; select and tune vector databases for retrieval, • Establish CI/CD, Infrastructure-as-Code, observability, and automated testing, • Define governance and safety guardrails, • Establish environment strategy and promotion paths, and a clear handover plan to client teams, • Package reusable patterns/accelerators, mentor engineers, and support presales and proposals At Intellias, where technology takes center stage, people always come before processes. xcskxlj We're dedicated to cultivating a tech-savvy environment that empowers individuals to unlock their true potential and achieve extraordinary results. Our customized benefits not only prioritize your well-being but also charge your professional growth, making this opportunity an ideal match for tech enthusiasts like you.