LLM Developer Analyst

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🔥 13 minutes ago

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LEADtech

WebsiteLinkedInAll Job Openings

2 - 10 employees

Founded 2017

🛍️ eCommerce

🛒 Retail

🔧 Hardware

eCommerce • Retail • Hardware

LEADtech is an online Romanian retailer and e‑commerce store that offers a broad catalogue of consumer electronics, IT and computer components, mobile phones, home electronics, gaming gear, appliances, tools, garden equipment, baby products and smart home/security devices. The site content (Romanian language, references to "lei" and sections like "Contul Meu") indicates a web storefront selling products from stock with delivery, account/returns support, and extensive category-based merchandising for consumers and small businesses.

📋 Description

• 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

🎯 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