Staff AI Engineer

Vendelux; Philadelphia (Philadelphia County); On-site; USD 170,000 - 210,000; Full time

Job summary

Vendelux is building the category-defining platform for event marketing intelligence. The team develops AI-driven insights and a pipeline that turns data into measurable event strategies, empowering customers to optimize their event programs.

The role focuses on applying AI to power product capabilities, enhancing user experiences, and building scalable AI infrastructure across multi-tenant environments—driving measurable business value.

Qualifications

• 8+ years of professional software or data engineering experience, with 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 data pipelines (Airflow, Dagster).
• Solid understanding of cloud infrastructure (AWS, GCP, Azure).
• Experience applying LLMs and generative AI in production, including prompt engineering and RAG.
• Strong ability to translate business problems into data solutions with measurable impact.

Responsibilities

• Research and apply modern AI methods to power new product capabilities with emphasis on impact and speed.
• Translate business problems into AI solutions to improve user workflows and insights.
• Architect agentic chat capabilities across the Vendelux platform and define integration patterns with internal data and tools.
• Design scalable, multi-tenant AI infrastructure with observability and guardrails for production-grade features.
• Collaborate with product, data science, and engineering teams to shape the AI roadmap.

Skills

Python

SQL

AI/ML

HuggingFace

LangChain

Airflow

Dagster

Cloud AWS/GCP/Azure

LLMs

Prompt engineering

Product & data collaboration

Tools

Airflow

Dagster

HuggingFace

Job description

Vendelux is building the category-defining platform for event marketing intelligence.

Events are one of the largest and most impactful marketing channels, yet historically one of the least measurable. Vendelux brings transparency and performance to this space — helping companies discover, evaluate, and optimize their event strategy with data.

Our platform powers thousands of event decisions by delivering proprietary, AI-driven insights across hundreds of thousands of events globally. At the core of our platform is a robust ecosystem of event organizer partnerships — where organizers share first-party data, enabling richer insights for customers while receiving benchmarking and audience intelligence in return. From identifying the highest ROI conferences to enabling targeted meeting programs, Vendelux helps companies turn events into a predictable and scalable growth engine.

In addition, Vendelux Meetings extends our platform by turning insights into pipeline — using AI to identify high-value attendees and proactively book 1:1 meetings between our customers and their ideal prospects at events. This enables go-to-market teams to drive measurable ROI and maximize every event interaction.

Founded in 2021, Vendelux is a Series B SaaS company backed by top-tier investors including FirstMark. We partner with many of the fastest-growing companies in the world, and our team includes leaders from Bain, ZoomInfo, Shutterstock, FanDuel, Compass, Airbnb, Forter and beyond.

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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. You'll establish the patterns for how agents interact with internal data, external tools, and user workflows, turning conversational AI from a feature into a foundational layer of the product experience.
• Build for Scale and Reliability: Architect multi-tenant AI infrastructure that meets the performance, latency, and cost requirements of a growing B2B SaaS product. You'll own observability, evaluation frameworks, and guardrails to keep AI features production-grade.
• Partner Across Product and Engineering: Work closely with product, data science, and application engineering teams to translate business requirements into AI systems. You'll serve as a thought partner to leadership on the AI roadmap, influencing how Vendelux thinks about product differentiation through AI.

Qualifications

• 8+ 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 (eg HuggingFace, LangChain, etc.) 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.
• Strong grasp of fundamental data science and machine learning techniques, with the 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.
• Startup experience preferred.

Not all candidates will check all of the requirements listed above and that’s ok! We are open to great people from non-traditional backgrounds.

Vendelux is proud to be an equal opportunity workplace. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status.