Staff AI Engineer: Lead Production AI & Architecture

AItoolnavio; Italia; Remote; EUR 100,000 - 150,000; Full time

Benefits offered by this job

Competitive salary package

Production-grade AI systems

High-autonomy role with ownership

Strong cross-team collaboration

Mentorship and knowledge sharing

Diverse and inclusive culture

Flexible recruitment accommodations

Broad AI product scope

Job summary

AItoolnavio is seeking a Staff AI Engineer in Italy to lead the design, development, and deployment of production-grade AI initiatives. You will drive architecture, build scalable AI platforms, and work across Product, Design, QA, Operations, and engineering teams to deliver measurable value to real users.

The role emphasizes hands-on engineering with strategic influence, ensuring robust evaluation frameworks, security, latency, and cost considerations while shaping the AI roadmap for the

Qualifications

• Staff Engineer with hands-on leadership of AI initiatives.
• Experience building production-grade LLM applications and AI agents.
• Strong backend/ platform engineering with Python and Django.

Responsibilities

• Lead the design and delivery of major AI initiatives, including AI-powered assistants and generative AI features.
• Drive production AI systems from architecture through deployment and optimization.
• Establish scalable AI quality frameworks with automated evaluations, testing, and monitoring.
• Collaborate with Product, Design, QA, Operations and engineering to translate business needs into technical solutions.
• Promote engineering excellence with mentorship and clear architectural standards.

Skills

Staff leadership

Python

Django

PostgreSQL

Redis

LLM integration

AI evaluation

Job description

AItoolnavio is seeking a Staff AI Engineer in Italy to lead the design, development, and deployment of production-grade AI initiatives. You will drive architecture, build scalable AI platforms, and work across Product, Design, QA, Operations, and engineering teams to deliver measurable value to real users.

The role emphasizes hands-on engineering with strategic influence, ensuring robust evaluation frameworks, security, latency, and cost considerations while shaping the AI roadmap for the