Senior AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 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

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

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Vendelux

2 months ago

Senior AI Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: New York

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

Industry: E-commerce

Website