[Hiring] LLM Dev Analyst @leadtech

Role Description

We are looking for a highly skilled LLM Dev Analyst to design, build, and scale intelligent agents within our Databricks ecosystem, redefining how data is accessed, interpreted, and activated across the organization.

In this role, you will operate at the intersection of AI engineering, analytics, and data platforms, developing domain-specific agents that automate and augment decision-making across key business areas including:

• A/B testing
• Marketing performance
• Data engineering workflows
• MarTech processes

You will translate complex business challenges into agent-driven solutions powered by Large Language Models (LLMs), leveraging both structured and unstructured data to deliver real-time insights and automation at scale.

As a core contributor to our next-generation data stack, you will define and implement best practices for agent architecture, prompt engineering, evaluation frameworks, and orchestration within Databricks, ensuring production-grade reliability and business impact.

Key Responsibilities

• Agent Design & Development
  • Design, build, and deploy LLM-powered agents for multiple business domains (A/B testing, marketing analytics, data engineering automation, MarTech workflows)
  • Develop multi-step reasoning agents that integrate with internal data systems, APIs, and tools
  • Implement RAG architectures to enable agents to leverage enterprise data effectively
• Databricks & Data Integration
  • Integrate LLM agents within the Databricks lakehouse architecture
  • Build scalable pipelines using PySpark, SQL, and Databricks workflows
  • Enable seamless interaction between agents and data warehouses, event streams, and APIs
• Prompt Engineering & Evaluation
  • Design and optimize prompts, tools, and agent workflows for accuracy and performance
  • Develop evaluation frameworks to measure agent quality, reliability, and business impact
  • Implement strategies to reduce hallucinations and improve response consistency
• Automation & Use Case Delivery
  • Build agents that automate:
    • Experimentation analysis (A/B testing insights)
    • Marketing performance reporting and optimization
    • Data Engineering workflows and monitoring
    • MarTech processes and campaign operations
  • Deliver solutions that drive measurable efficiency gains and decision velocity
• Productionization & Reliability
  • Productionize agent systems with monitoring, logging, and observability
  • Implement guardrails, security controls, and governance frameworks
  • Ensure scalability, latency optimization, and cost efficiency
• Cross-Functional Collaboration
  • Partner with Data Engineering, Analytics, Marketing, and Product teams
  • Translate business requirements into scalable AI solutions
  • Communicate insights and capabilities to both technical and non-technical stakeholders

Qualifications

• Proven experience building applications with Large Language Models (LLMs)
• Strong expertise in prompt engineering, RAG architectures, and agent frameworks (e.g., LangChain, LlamaIndex)
• Experience with Databricks/Snowflake/GCP, including PySpark and SQL
• Strong proficiency in Python
• Solid understanding of analytics use cases such as A/B testing, marketing performance, or data workflows
• Experience implementing LLM evaluation, monitoring, and guardrails
• Strong problem-solving skills with the ability to translate business needs into technical solutions

Nice-to-Have Qualifications

• Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)
• Familiarity with open-source LLM deployment and optimization (Hugging Face, vLLM, etc.)
• Knowledge of MLOps practices, CI/CD, and scalable infrastructure (Docker, Kubernetes)
• Experience with MarTech tools (GA4, AppsFlyer, Segment, Braze, Amplitude)
• Strong background in experimentation frameworks, causal inference, or incrementality
• Experience designing multi-agent systems or autonomous workflows
• Understanding of AI product design and human-in-the-loop systems

What We’re Looking For

• A builder mindset with a passion for applied AI and automation
• Ability to operate in ambiguous, fast-paced environments
• Strong ownership and accountability for end-to-end delivery
• Curiosity to explore and implement cutting-edge AI capabilities
• A pragmatic approach to balancing innovation with reliability

Benefits

• Growth and career development with personalized internal training and an annual budget for external learning opportunities
• Work-Life balance with flexible start and end times and the option of working full remote or from our Barcelona office
• Comprehensive benefits including competitive salary, full-time permanent contract, and top-tier private health insurance (including dental and psychological services)
• 25 days of vacation plus your birthday off, with flexible vacation options—no blackout days!
• Unique perks including free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with stunning Mediterranean views
• Additional benefits include ticket restaurant and nursery vouchers, paid directly from your gross salary