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LEADtech

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LLM Developer Analyst

Location

Spain

Posted

7 days ago

Salary

0

Seniority

Senior

Job Description

LLM Developer Analyst

LEADtech

• 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 • 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 • 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 • 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 • Productionize agent systems with monitoring, logging, and observability • Implement guardrails, security controls, and governance frameworks • Ensure scalability, latency optimization, and cost efficiency • Partner with Data Engineering, Analytics, Marketing, and Product teams to translate business requirements into scalable AI solutions • Communicate insights and capabilities to both technical and non-technical stakeholders

Job Requirements

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

Benefits

  • Growth and career development
  • Work-Life balance
  • Comprehensive benefits
  • Unique Perks

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