Senior AI Engineer

Vendelux LLC.; New York (NY); On-site; USD 130,000 - 180,000; Full time

Job summary

Vendelux LLC. seeks an AI Product Architect to innovate and enhance their platform through AI-driven features. You will be responsible for designing the infrastructure that supports AI capabilities, partner with product and engineering teams to define requirements, and ensure solutions align with business needs. Candidates should have over 4 years of experience in software/data engineering, particularly with AI/ML products, alongside strong programming skills in Python and SQL. Enjoy a collaborative and innovative environment in New York, with opportunities to influence product direction.

Qualifications

• 4+ years of professional experience in software engineering or data engineering.
• 3+ years building AI/ML-driven products.
• Experience with modern AI frameworks and cloud infrastructures.
• Excellent collaboration and communication skills.

Responsibilities

• Research and apply AI methods for new product capabilities.
• Translate business problems into AI solutions.
• Architect multi-tenant AI infrastructure.
• Work closely with product and engineering teams.

Skills

Python

SQL

AI/ML frameworks

Data pipelines

Cloud infrastructure

Prompt engineering

Data solutions

Communication

Tools

HuggingFace

Airflow

AWS

GCP

Azure

Job description

Vendelux is an AI‑powered platform that provides data and insights for event marketing.

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

• 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, 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.

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.