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LLM Dev Analyst

1 week, 3 days ago
Spain
Full-time
Senior
AI Engineer
Data Science and Analytics
Amplitude Apache Spark CI/CD Databricks Docker GCP Hugging Face Kubernetes LLM MLOps Python Segment Snowflake SQL
Apply Now
Leadtech

Leadtech

Leadtech is a Barcelona-based Online Innovation Technology company that has rapidly grown since 2007, becoming an industry leader in online project management with a global team of over 570 professionals.

IT Services
251-1K
Founded 2009
View All Jobs 16

Description

  • Design, build, and deploy LLM-powered agents across A/B testing, marketing analytics, data engineering, and MarTech use cases.
  • Develop multi-step reasoning agents that connect to internal data systems, APIs, and tools.
  • Implement retrieval-augmented generation (RAG) architectures to help agents use enterprise data effectively.
  • Integrate LLM agents within the Databricks lakehouse architecture.
  • Build scalable data pipelines using PySpark, SQL, and Databricks workflows.
  • Enable interaction between agents and data warehouses, event streams, and APIs.
  • Design and optimize prompts, tools, and agent workflows for accuracy and performance.
  • Create evaluation frameworks to measure agent quality, reliability, and business impact.
  • Build production-ready automation solutions that improve efficiency and decision velocity.
  • Add monitoring, logging, observability, guardrails, security controls, and governance to agent systems.
  • Collaborate with Data Engineering, Analytics, Marketing, and Product teams to translate business needs into AI solutions.
  • Communicate insights and capabilities to both technical and non-technical stakeholders.

Requirements

  • Proven experience building applications with large language models (LLMs).
  • Strong expertise in prompt engineering, RAG architectures, and agent frameworks such as LangChain or LlamaIndex.
  • Experience with Databricks, Snowflake, or 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 ability and experience translating business needs into technical solutions.
  • Experience with vector databases such as Pinecone, FAISS, or Weaviate is preferred.
  • Familiarity with open-source LLM deployment and optimization tools such as Hugging Face or vLLM is preferred.
  • Knowledge of MLOps practices, CI/CD, and scalable infrastructure such as Docker and Kubernetes is preferred.
  • Experience with MarTech tools such as GA4, AppsFlyer, Segment, Braze, or Amplitude is preferred.
  • Strong background in experimentation frameworks, causal inference, or incrementality is preferred.
  • Experience designing multi-agent systems or autonomous workflows is preferred.
  • Understanding of AI product design and human-in-the-loop systems is preferred.
  • 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

  • Flexible career path with personalized internal training and an annual budget for external learning.
  • Flexible start and end times.
  • Option to work fully remote or from the Barcelona office.
  • Free Friday afternoons with a 7-hour workday.
  • 35-hour workweek in July and August.
  • Competitive salary and a full-time permanent contract.
  • Top-tier private health insurance, including dental and psychological services.
  • 25 days of vacation plus your birthday off, with flexible vacation and no blackout days.
  • Office perks including free coffee, fresh fruit, snacks, a game room, and a rooftop terrace with Mediterranean views.
  • Ticket restaurant and nursery vouchers paid directly from gross salary.

Interested in this position?

Apply directly on the company website

Apply Now

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