We are seeking a Python Developer with a passion for AI to join our Data team, reporting to the Data Science Tech Lead and working side by side with the product, engineering, marketing, and business teams, following a philosophy 100% Agile.
You and the rest of the Data Science team will have the ownership to develop, test, deploy, and maintain AI Agents and other AI-powered solutions, all to improve the experience for our customers, sellers and internal stakeholders.
Tasks and Responsibilities:
- Interface with product teams & stakeholders to deliver AI initiatives, understand and solve data needs, and brainstorm and co-create new data products using generative AI.
- Create, evaluate, & improve AI agents and LLM applications, as well as helping to maintain a diverse variety of data products including smart/optimization/personalization algorithms, recommender systems, and predictive models.
- Develop these from the initial idea to the implementation deployed in production, with a mind toward the final consumer/stakeholder, accuracy, scalability, high -availability, and an iterative approach.
- Care for the standards and quality of your code and implementation.
- Support your teammates by participating in data science brainstorming discussions, reviewing their code and results, and working collaboratively, especially during the POC/R&D phase.
What we are looking for:
- Minimum 2 years of experience as a Data Scientist, in a customer-centric company, preferably e-commerce, transactional marketplace, or e-health.
- Degree in Computer Science, Data Science, Engineering or similar.
- Professional experience developing, monitoring, & maintaining APIs.
- Advanced Python: FastAPI or other web frameworks; Connections to SQL &/or NoSQL databases; Deployed to production environments, using Kubernetes or other cloud-native deployment solutions.
- Background skills: Datadog or other alarm/monitoring tools, GIT & CI/CD
- Professional or personal experience developing GenAI solutions with:
LLMs, propietary (ChatGPT, ...) &/or open source (DeepSeek, ...); LangChain/Graph, LlamaIndex, or other LLM frameworks; Langfuse, Langsmith, or other LLM observability tools; PGVector, ChromaDB, or other vector databases. - Past DevOps/Cloud experience is a plus.
- Past Data Science/Engineering/Analysis or ML Engineering/Ops experience is a plus.
Other Skills:
- Languages: Spanish and English (proficiency), German is a plus
- Experience in Agile methodologies
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