Applied AI Engineer

Skills

About the Role

You will build and ship AI models and agent systems that automate repetitive customer support tasks, optimize autonomous voice and digital agents, and handle edge cases like poor connectivity, low literacy, and low-resource languages. You will run experiments with voice and text models, take prototypes to production, and own problems end-to-end from discovery to production operation.

Requirements

• 5+ years of experience in AI/ML engineering
• Strong Python and backend engineering skills
• Solid foundation in statistics and ML theory
• Proven hands-on experience with LLMs including prompt engineering RAG embeddings fine-tuning and agent orchestration
• Track record taking ML models from prototype to production with focus on reliability performance and scalability
• Fluency with AI coding agents
• Fluent in English

Responsibilities

• Bridge research and production by building AI models and agent systems for production
• Architect evaluate and optimize autonomous voice and digital agents
• Build solutions for poor connectivity low literacy and low-resource languages
• Experiment with evaluate and integrate voice and text models
• Own problems end-to-end from discovery to running in production

Benefits

• Yearly $1,200 stipend for coworking meetups
• Subsidized health insurance for you and your dependents
• Retirement contributions
• Six months of fully paid parental leave
• Subsidized fertility assistance
• Flexible vacation typically 21-30 days exclusive of statutory holidays
• $10,000 annual charitable donation matching
• Equity package