Principal MLOps Engineer
Location: Remote from Spain (Spanish employment contract)
We are looking for Principal MLOps Engineer to support the development of AI-driven solutions in Global Digital Marketing team of a Leading Agricultural Company. The engineers will work on projects involving generative AI, intelligent agents, and process automation, integrating with large-scale enterprise systems. The current goals are to create two LLM agents, that are responsible for producing marketing Campaigns materials – campaign information, images, presentations, slogans, etc.
Requirements:
* Proven experience in developing and deploying generative AI or LLM-based applications
* Participate on the architectural design of conversational solutions.
* Strong prompt proficiency with LLMs such as OpenAI, Azure OpenAI, Claude, or LLaMA
* Hands-on experience with LangChain, LangGraph. Other frameworks are also valued.
* Solid understanding of semantic search, RAG pipelines, and vector embeddings
* AWS experience with ECR, ECS/Fargate and dockerization.
* Design/Deploy MCP servers.
* Background in API/microservices development
* Ability to work with enterprise-grade architectures and process automation tools
* English: at least B2 level.
Will be a plus:
* Experience with n8n, Semantic Kernel, Copilot Studio,
* Experience with MLOps, model optimization, and cloud deployments (especially AWS)
* Previous experience with digital marketing life cycle.
* SQL proficiency
* Expertise using Claude Code, GitHub copilot and similar tools as part of their daily tooling, working routines
Responsibilities:
* Lead the development of LLM-based intelligent agents
* Prepare system architecture, agree system design with stakeholders
* Contextualization of the company data.
* Implement Retrieval-Augmented Generation (RAG) systems
* Integrate LLMs with varius different data sources
* Leverage tools like LangChain, LangGraph, Semantic Kernel, and Copilot Studio to build semantic workflows
* Automate internal processes using n8n
* Collaborate with cross-functional teams including DevOps, backend, and business stakeholders
* Contribute to best practices for AI deployment, prompt engineering, and model evaluation