Principal MLOps Engineer

hace 4 semanas

Valencia, España Intellias A tiempo completo

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

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