Remote Senior AI Backend Engineer for Financial Intelligence

MeeBoss; United States; A distancia; USD 140.000 - 230.000; Jornada completa

Descripción de la vacante

MeeBoss is seeking a Senior Software Engineer to build AI-native financial intelligence products that transform traditional accounting workflows into intelligent, automated backend systems. You will join a small, experienced team to develop production-grade AI systems, automate complex financial processes, and deliver meaningful value to customers.

This role requires hands-on AI/system experience and a scientific approach to evaluating AI performance.

Formación

• 4–15 years of backend software engineering experience with strong production fundamentals.
• Proven experience writing and maintaining production-grade Python code.
• Hands-on experience implementing AI/ML systems and building agentic workflows for production environments.
• Experience with multi-step AI orchestration, evaluation frameworks, and AI-native product development beyond basic API integrations.
• Strong backend engineering experience involving data-intensive domains, such as financial data processing, document parsing, or complex data extraction.

Responsabilidades

• Build production-grade AI systems and AI-native financial automation features.
• Develop backend services transforming accounting workflows into intelligent backend processes.
• Collaborate with a small team to own projects from concept to production deployment.

Conocimientos

Backend engineering

Python production

AI/ML systems

Data processing

Ownership

Startup experience

Analytical skills

Collaboration

Herramientas

Elixir

Descripción del empleo

MeeBoss is seeking a Senior Software Engineer to build AI-native financial intelligence products that transform traditional accounting workflows into intelligent, automated backend systems. You will join a small, experienced team to develop production-grade AI systems, automate complex financial processes, and deliver meaningful value to customers.

This role requires hands-on AI/system experience and a scientific approach to evaluating AI performance.