Staff AI Engineer

Vendelux is hiring a Staff AI Engineer in Arlington, VA (onsite) to research and deliver AI and LLM-powered product capabilities across the platform.

Responsibilities

• Research and apply modern AI methods (AI agents, LLMs, RAG, embeddings, supervised and unsupervised learning) to enable new product capabilities with an emphasis on impact and speed
• Convert business challenges into AI solutions that improve user workflows, accelerate insights, and produce measurable value
• Own the architecture and integration of agentic chat capabilities across the Vendelux platform, including system design that enables agents to reason, take action, and deliver insights across every product surface
• Define interaction patterns for agents with internal data, external tools, and user workflows, advancing conversational AI from a feature into a foundational product layer
• Architect multi-tenant AI infrastructure to meet performance, latency, and cost requirements for a growing B2B SaaS product
• Own observability, evaluation frameworks, and guardrails to keep AI features production-grade
• Collaborate with product, data science, and application engineering teams to translate business requirements into AI systems
• Act as a thought partner to leadership on the AI roadmap, shaping how Vendelux differentiates through AI

Requirements

• 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 (e.g., HuggingFace, LangChain, etc.) and designing data pipelines (e.g., Airflow, Dagster, or equivalent)
• Solid understanding of cloud infrastructure (e.g., AWS, GCP, or Azure)
• Production experience applying LLMs and generative AI, including prompt engineering, RAG, and LLM deployment
• Strong foundation in fundamental data science and machine learning techniques, with the ability to balance research and engineering tradeoffs
• Proven ability to translate business problems into data solutions that drive business value
• Track record of shipping user-facing features with measurable impact
• Excellent written and verbal communication skills, with the ability to collaborate across data, engineering, and product teams
• Startup experience preferred

Technologies

• Python
• SQL
• HuggingFace
• LangChain
• Airflow
• Dagster
• AWS, GCP, Azure
• LLMs
• RAG
• Embeddings
• AI agents