Senior AI Engineer

Vendelux

Senior AI Engineer building agentic chat, LLM, and scalable AI infrastructure for Vendelux’s event marketing intelligence platform. Shipping AI capabilities that improve event strategy and measurable marketing ROI.

Posted 9/9/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $150,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building AI-powered product capabilities, including the application of AI agents, LLMs, and machine learning techniques to drive business value. Proficient in architecting multi-tenant AI infrastructure and integrating AI solutions across platforms while collaborating effectively with cross-functional teams.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyAI Frameworks (HuggingFace, LangChain)Cloud Infrastructure (AWS, GCP, Azure)Data Pipeline Design (Airflow, Dagster)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Product DevelopmentMachine Learning TechniquesPrompt EngineeringRAG ImplementationLLM DeploymentData Solution TranslationUser-Facing Feature ShippingObservability FrameworksIntegration ArchitectureMulti-Tenant Infrastructure

Soft Skills

Excellent CommunicationCollaboration Across TeamsResearch and Engineering Balance

Industry Keywords

AI SolutionsData EngineeringSoftware EngineeringBusiness ValueProduct Differentiation

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Research, build, and ship AI-powered product capabilities
Apply AI agents, LLMs, RAG, embeddings, and supervised/unsupervised learning to new product capabilities
Translate business problems into AI solutions that improve workflows, accelerate insights, and drive measurable value
Own the architecture and integration of agentic chat capabilities throughout the Vendelux platform
Establish patterns for agents to interact with internal data, external tools, and user workflows
Architect multi-tenant AI infrastructure for performance, latency, and cost requirements
Own observability, evaluation frameworks, and guardrails for production-grade AI features
Work closely with product, data science, and application engineering teams
Advise leadership on the AI roadmap and product differentiation through AI

Requirements

What you’ll need

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
Proficiency in SQL
Experience with modern AI frameworks such as HuggingFace and LangChain
Experience designing data pipelines using Airflow, Dagster, or equivalent
Solid understanding of cloud-based infrastructure including AWS, GCP, or Azure
Experience applying LLMs and generative AI in production, including prompt engineering, RAG, and LLM deployment
Strong grasp of fundamental data science and machine learning techniques
Ability to balance research and engineering tradeoffs
Demonstrated ability to translate business problems into data solutions that drive business value
Proven track record of shipping user-facing features with measurable impact
Excellent written and verbal communication skills
Ability to collaborate across data, engineering, and product teams
Willingness and ability to commit to the NYC HQ up to 4 times a week
Legal authorization to work in the United States

Benefits

Comp & perks

Bonus
Equity
Healthcare covering medical, dental and vision
Work from our NYC HQ
Unlimited PTO
Two company-wide shutdowns during the July 4th week and the Christmas – New Years week