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Senior Software Engineer (Data & AI)

Vendelux

full-remoteseniorpermanentbackenddata Full remote 133 days ago via WTTJ

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Tags

PythonSQLMachine LearningLLMsRAGEmbeddingsAirflowDagsterAWSGenAI

About the role

Role Overview

Join Vendelux as a Senior Software Engineer (Data & AI). You’ll develop, deploy, and scale AI-powered product features that are central to the core user experience, working end-to-end in a cross-functional startup environment.

Key Missions / Responsibilities

  • Architect, implement, and ship data-driven product features that deliver measurable business value.
  • Build maintainable and scalable systems, writing clean, testable code.
  • Integrate with data pipelines (new and existing) and continuously improve data quality.
  • Research and apply modern AI methods to create new product capabilities, including:
    • AI agents
    • LLMs, RAG, embeddings
    • Supervised/unsupervised learning
  • Collaborate across data, engineering, and product to translate business problems into effective data solutions.

Requirements

  • 5+ years professional experience in software engineering or data engineering.
  • At least 3+ years building AI/ML-driven products.
  • Strong programming skills in Python and SQL.
  • Strong understanding of data science fundamentals and machine learning, with the ability to balance research vs. engineering tradeoffs.
  • Proven track record of shipping user-facing features with measurable impact.
  • Strong written and verbal communication skills and cross-team collaboration.

Nice to Have

  • Experience with modern AI frameworks such as Hugging Face and LangChain.
  • Experience designing data pipelines using Airflow, Dagster, or equivalents.
  • Production experience applying LLMs/generative AI, including prompt engineering, RAG, and LLM deployment.
  • Solid cloud infrastructure knowledge (AWS, GCP, or Azure).
  • Startup experience.
  • Open to candidates from non-traditional backgrounds.

About Vendelux

Vendelux is a fast-paced startup building a product that uses AI-powered features to deliver user-facing impact. The company focuses on end-to-end development of data-driven capabilities, with strong emphasis on AI/ML engineering best practices and data quality.

Scraped 5/13/2026