Staff AI Engineer

Vendelux

Staff AI Engineer building agentic AI capabilities and scalable infrastructure. Improving Vendelux’s event marketing intelligence platform with LLMs, data, and production AI systems.

Posted 9/9/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $250,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing AI-powered solutions, translating business problems into actionable AI strategies, and architecting multi-tenant AI infrastructure. Proficient in modern AI methods and frameworks, with a strong focus on delivering measurable business value through innovative product capabilities.

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 AgentsLLMsRAGSupervised LearningUnsupervised LearningData Science TechniquesMachine Learning TechniquesPrompt EngineeringLLM DeploymentUser-Facing Features

Soft Skills

Excellent Communication SkillsCollaboration Across TeamsAbility to Balance Tradeoffs

Tools & Technologies

AirflowDagsterAWSGCPAzure

Industry Keywords

AI-Powered SolutionsData SolutionsBusiness ValueObservabilityEvaluation Frameworks

Tech Stack

Tools & technologies

AirflowAWSAzureCloudGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Research and apply modern AI methods, including AI agents, LLMs, RAG, embeddings, supervised learning, and unsupervised learning, to power new product capabilities
Develop and ship AI-powered solutions that improve user workflows, accelerate insights, and drive measurable business value
Translate business problems into AI solutions
Own the architecture and integration of agentic chat capabilities throughout the Vendelux platform
Design systems that allow AI agents to reason, take action, and surface insights across the product
Establish patterns for agents to interact with internal data, external tools, and user workflows
Architect multi-tenant AI infrastructure meeting performance, latency, and cost requirements
Own observability, evaluation frameworks, and guardrails for production-grade AI features
Collaborate with product, data science, and application engineering teams
Advise leadership on the AI roadmap and product differentiation

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
Ability to commit to the NYC HQ up to 4 times a week
Legally authorized to work in the United States for Vendelux

Benefits

Comp & perks

Competitive base salary and bonus
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
Equity