Senior Full Stack Engineer (Backend-Leaning)

Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. They are seeking a Senior Full Stack Engineer (Backend-Leaning) to design, build, and scale core backend systems for an AI-powered software platform in the transportation and logistics industry.

Responsibilities:

• Design, build, and scale core backend systems and infrastructure that power an AI-driven platform
• Take end-to-end ownership of features, from technical design through production deployment
• Build and maintain integrations, APIs, and data pipelines that support customer workflows
• Contribute to customer-facing product experiences on the frontend when needed
• Partner closely with founders, product, and customer-facing teams to translate real-world needs into robust technical solutions
• Improve system reliability, observability, and performance in a production environment
• Support and evolve AI workflows, including pipeline reliability and operational improvements
• Act as a senior technical resource for the team by debugging complex issues and raising engineering standards

Requirements:

• Several years of professional experience as a full stack software engineer, with a strong backend focus
• Proven experience building and operating production backend systems in a startup or fast-paced environment
• Strong proficiency in at least one backend language such as Go or Python
• Experience working with modern frontend frameworks (e.g., React)
• Solid understanding of databases, APIs, and distributed systems
• Comfortable owning projects independently and delivering high-quality solutions end-to-end
• Strong communication skills and enthusiasm for working closely with cross-functional teams
• Prior experience at an early-stage or growth-stage startup
• Experience building integrations, data pipelines, or workflow-heavy systems
• Familiarity with cloud infrastructure (AWS or similar), infrastructure-as-code, and observability tools
• Interest in or experience working with AI-enabled products (e.g., LLMs, automation, or applied ML)
• Background in logistics, transportation, or operational software (nice to have, not required)