Senior LLM Dev Analyst – Remote Spain | Visa + Salary Insights

📍 Location: eu

🏷 Type: Not specified

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Job Overview

This role is for a Senior-Level (5+ years) LLM Dev Analyst focused on building intelligent, production-grade AI agents inside a Databricks ecosystem. The company is looking for a candidate who can bridge Large Language Models (LLMs), data engineering, and business analytics to automate decision-making across marketing, experimentation, and internal data workflows. The ideal professional is someone who can design scalable AI systems using Python, PySpark, and modern agent frameworks, while also understanding real-world business impact in areas like A/B testing and MarTech optimization.

🌍 Work Eligibility & Location

This position is highly accessible for global talent due to its Remote flexibility. While Spain is listed as the base, the structure suggests international hiring is possible. However, lack of explicit visa sponsorship means candidates outside the EU should clarify relocation policies before applying.

💰 Salary Intelligence

Given the stack complexity involving LLMs, Databricks, and production AI systems, this role sits in a high-value engineering bracket. Similar European AI engineering roles with agentic AI responsibilities typically command competitive compensation, especially when tied to analytics, experimentation, and scalable ML infrastructure.

📊 Role Breakdown

This role sits at the intersection of applied AI and enterprise data engineering. You will design and deploy LLM-powered agents capable of performing multi-step reasoning across structured and unstructured data. Core work revolves around building intelligent systems using Databricks, integrating PySpark pipelines, and enabling real-time analytics automation. A major focus is implementing RAG (Retrieval-Augmented Generation) systems that connect LLMs with enterprise datasets, ensuring contextual accuracy and reduced hallucination risk.

On the engineering side, you will build scalable workflows using Python, SQL, and Databricks Jobs. On the AI side, you will design prompts, evaluation frameworks, and guardrails to ensure reliability and measurable performance. Expect to optimize agent workflows for marketing analytics, experimentation insights, and data engineering automation. A strong emphasis is placed on improving decision velocity by at least 30–50% through automation and intelligent orchestration systems.

🧩 Required Skills & Fit

📈 Difficulty & Competitiveness

This is a technically demanding role requiring strong depth in both LLM systems and enterprise data infrastructure. Candidates without production experience in AI systems, especially with Databricks or RAG pipelines, will face significant difficulty competing.

🚀 Career Impact

This role provides strong upward mobility into AI architecture and senior machine learning engineering leadership. Exposure to production-grade agent systems and enterprise data stacks significantly increases long-term career value in the global AI job market.

📋 Key Responsibilities

You will be responsible for designing and deploying LLM-powered agents that automate analytics and business workflows. This includes building RAG pipelines to connect enterprise data with generative AI systems and implementing scalable data workflows using Databricks, PySpark, and SQL. A major part of the role involves optimizing prompts and designing evaluation frameworks to ensure model accuracy and consistency.

You will also develop automation systems for A/B testing analysis, marketing performance reporting, and data engineering operations. Beyond engineering, you will collaborate with cross-functional teams to translate business requirements into AI-driven solutions. Ensuring system reliability through monitoring, logging, and guardrails is also a critical responsibility.

🎯 Application Strategy

🧠 Application Optimization (Adaptive)

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🧠 Fit & Positioning Analysis

Evaluate your match before applying. This role strongly favors candidates with proven production LLM systems, especially those integrating enterprise data pipelines. Strong alignment exists if you have experience in AI automation, analytics engineering, or agent-based architectures.

📅 Application Signals

This is a high-demand AI engineering role with strong competition due to its focus on LLM agents and enterprise-scale data systems. Early applicants with relevant Databricks or RAG experience are more likely to progress quickly through screening.

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✅ Job Source & Verification

This listing is sourced from an official Leadtech Group recruitment post, a recognized European digital and software company. The information reflects the latest publicly available job description as of the most recent posting update. Always verify final details on the official careers page before applying.