Senior AI Engineer

Vendelux
New York, Philadelphia, Boston, Jersey, New Jersey, Virginia
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 4+ yearsSkills: ["Python","SQL","Communication"]

Lead AI initiatives to power new product capabilities and improve user workflows. Design and implement agentic chat, multi-tenant AI infrastructure, and production-ready AI features, collaborating with product, data science, and engineering to drive measurable business impact in a growing B2B SaaS environment.

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FursaFursa
Vendelux
Vendelux
3 months ago

Senior AI Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Lead AI initiatives to power new product capabilities and improve user workflows. Design and implement agentic chat, multi-tenant AI infrastructure, and production-ready AI features, collaborating with product, data science, and engineering to drive measurable business impact in a growing B2B SaaS environment.
Location: New York, Philadelphia, Boston, Jersey, New Jersey, Virginia
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Applied AI Innovation: Research and apply modern methods (AI agents, LLMs, RAG, embeddings, supervised/unsupervised learning) to power new product capabilities, prioritizing impact and speed over perfection.
  • •Enhance User Experience Through AI: Translate business problems into AI solutions that improve user workflows, accelerate insights, and drive measurable value
  • •Build Agentic Chat Across the Product: Own the architecture and integration of agentic chat capabilities throughout the Vendelux platform — designing the underlying systems that allow AI agents to reason, take action, and surface insights across every surface of the product.
  • •Build for Scale and Reliability: Architect multi-tenant AI infrastructure that meets performance, latency, and cost requirements of a growing B2B SaaS product; own observability and guardrails to keep features production-grade.
  • •Partner Across Product and Engineering: Collaborate with product, data science, and application engineering to translate business requirements into AI systems and influence the AI roadmap.

Key Requirements

  • •4+ years of professional experience in software engineering or data engineering, with at least 3+ years building AI/ML-driven products.
  • •Strong programming skills in Python and proficiency in SQL.
  • •Experience with modern AI frameworks (e.g., HuggingFace, LangChain) and designing data pipelines (Airflow, Dagster, or equivalent).
  • •Solid understanding of cloud-based infrastructure (AWS, GCP, or Azure).
  • •Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment.
Experience:4+ yearsAI/MLData engineeringCloudProduction AI
Skills:PythonSQLCommunication
Languages:English
Tech Stack:PythonSQLHuggingFaceLangChainAirflowDagsterAWSGCPAzureLLMsRAG

Company Brief

Vendelux
Operates an e-commerce platform selling consumer home and lifestyle products, providing online ordering, fulfillment, and customer support through a curated digital storefront aimed at retail consumers.
Industry: E-commerce
Website