Staff AI Engineer

Vendelux; Boston (MA); On-site; USD 180,000 - 240,000; Full time

Job summary

Vendelux is building the category-defining platform for event marketing intelligence. We leverage AI to power insights, optimize event strategies, and turn data into measurable business value.

We are seeking an experienced AI-driven software engineer to own the architecture for agentic chat, scalable AI infrastructure, and cross-functional collaboration with product and data science teams. Join a fast-growing B2B SaaS company with strong investors and a mission to transform events into a

Qualifications

• 8+ years of professional experience in software engineering or data engineering.
• 3+ years building AI/ML-driven products.
• Proficiency in Python and SQL.
• Experience with AI frameworks (HuggingFace, LangChain) and data pipelines (Airflow, Dagster).
• Cloud infrastructure experience (AWS, GCP or Azure).
• Experience applying LLMs and generative AI in production, including prompt engineering and RAG.
• Ability to translate business problems into data solutions.
• Proven track record of shipping user-facing features.
• Excellent written and verbal communication; startup experience preferred.

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.

Skills

Python

SQL

AI/ML product design

Communication skills

Startup experience

Tools

Airflow

Dagster

HuggingFace

LangChain

AWS

GCP

Azure

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.