Senior ML AI Engineer

Confido is the AI infrastructure powering CPG brands from deduction to production plan. We unify cash application, deductions, disputes, trade promotion management, forecasting, demand planning, and analytics in one integrated platform. The result: measurable time savings, smarter top- and bottom-line decisions, and the speed to scale.

Confido is trusted by 200+ brands managing $20B+ in revenue, including OLIPOP, Simple Mills, Dr. Squatch, Tropicana, and more.

We’ve achieved best-in-class growth and recently raised a $15M Series A led by Footwork Ventures and Y Combinator to accelerate our momentum.

As a Senior AI / ML Engineer , you will help build the core AI systems powering the Confido platform—from LLM-powered document understanding to predictive models that help brands make better decisions.

You’ll work closely with engineering and product to bring AI capabilities from research to production.

Location: New York, NY (Relocation supported)

What Youll Do

• Own the AI/ML lifecycle: research → prototyping → production deployment → monitoring
• Build systems that extract structured data from complex financial documents
• Develop agentic workflows that retrieve and reason over fragmented enterprise systems
• Build predictive models to forecast brand sales and financial performance
• Detect anomalies in retailer and sales data
• Develop recommendation systems that optimize retailer promotions
• Partner with engineering and product to integrate AI capabilities into the platform
  
  

• AI-powered ingestion of invoices, deductions, and retailer reports
• Agent workflows that retrieve data from legacy systems
• Sales forecasting models for large CPG brands
• Anomaly detection across retailer performance data
• Promotion optimization models
  
  

• 2+ years of applied AI / ML experience
• Experience building and deploying production ML systems
• Experience working with LLMs or NLP systems
• Strong product mindset and ability to translate AI capabilities into real-world applications
  
  

• Experience fine-tuning LLMs (Llama, GPT, etc.)
• Experience building agentic workflows or retrieval systems
• Startup experience or comfort working in fast-moving environments