Development Lead, AI Solutions & Production Systems

Alo; United States; Remote; USD 180,000 - 240,000; Full time

Job summary

Alo is seeking a seasoned AI/ML Engineer to build bespoke AI solutions for product image generation, conversational assistants, and process automation. You will prototype rapidly with APIs and cloud-native services, then transition experiments into robust production systems.

You will evaluate external AI platforms for fit and cost, collaborate cross-functionally across marketing, design, supply chain, retail and engineering, and mentor peers in hands-on AI adoption and responsible practices.

Qualifications

• 10+ years of data or software engineering experience.
• MS or PhD in AI, Machine Learning or Data Science.
• Skilled in Python, SQL and cloud AI platforms.
• Strong grasp of ML fundamentals and data engineering.
• Experience integrating AI into business workflows.
• Experience developing model evaluation frameworks.

Responsibilities

• Build bespoke AI solutions for product image generation, conversational assistants and process automation.
• Prototype rapidly using APIs, open models and cloud-native services.
• Transition experiments into maintainable, production-grade systems.
• Evaluate external AI platforms for integration potential, cost and fit.
• Collaborate with marketing, design, supply chain, retail and engineering teams.
• Implement responsible AI practices for transparency, fairness and explainability.
• Mentor peers in practical AI adoption and experimentation.

Skills

Python

SQL

Cloud AI platforms

ML fundamentals

Data engineering

Education

MS or PhD in AI/ML/Data Science

Job description

Alo is seeking a seasoned AI/ML Engineer to build bespoke AI solutions for product image generation, conversational assistants, and process automation. You will prototype rapidly with APIs and cloud-native services, then transition experiments into robust production systems.

You will evaluate external AI platforms for fit and cost, collaborate cross-functionally across marketing, design, supply chain, retail and engineering, and mentor peers in hands-on AI adoption and responsible practices.