Staff AI Engineer
pThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff AI Engineer based in Italy. /p h3Accountabilities /h3 ul liLead the technical design, development, and delivery of major AI initiatives, including AI-powered assistants, contextual data systems, and generative AI features. /li liContribute directly to production AI systems from the outset, identifying technical opportunities and delivering improvements to existing architecture and workflows. /li liDrive early improvements in AI quality, reliability, and performance by addressing known failure points, strengthening evaluation coverage, and implementing measurable enhancements. /li liTake ownership of major AI projects from architecture and technical planning through cross-functional collaboration, deployment, and ongoing optimization. /li liDefine and influence architectural decisions across engineering teams, with particular responsibility for AI architecture and shared platform infrastructure. /li liEstablish scalable AI quality frameworks, including automated evaluations, regression testing, guardrails, agent tracing, human feedback mechanisms, and production monitoring. /li liDesign and implement reliable AI agents and tool integrations, balancing deterministic code and LLM capabilities while addressing security, latency, reliability, and cost. /li liDrive broader engineering initiatives that improve development quality and velocity, such as AI evaluation standards, agentic software development practices, code review processes, and technical documentation. /li liCollaborate closely with Product, Design, QA, Operations, and engineering stakeholders to translate business needs into effective technical solutions.
/li liPromote engineering excellence through technical mentorship, knowledge sharing, clear architectural standards, and a culture of continuous improvement. /li /ul h3Requirements /h3 ul liExtensive experience in software engineering at Staff Engineer or equivalent level, with a proven ability to lead complex, ambiguous initiatives as a hands-on individual contributor. /li liDemonstrated experience designing, building, and deploying production-grade LLM applications, AI agents, or generative AI features used by real customers. /li liStrong technical leadership skills, including the ability to influence architectural decisions across teams, establish engineering standards, and drive initiatives from proposal through implementation. /li liProven experience building and maintaining AI evaluation frameworks that combine automated testing, agent traces, human feedback, and production monitoring to measure quality and prevent regressions. /li liStrong understanding of AI agent architecture, tool design, and orchestration, including the ability to determine when deterministic logic is preferable to LLM-based solutions. /li liExperience designing secure and reliable tool boundaries, human-in-the-loop workflows, and systems that balance performance, latency, security, and operational costs. /li liSound judgment in build-versus-buy decisions, model selection, and AI provider integrations.
/li liStrong backend and platform engineering expertise, particularly with Python and Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs. /li liAbility to design scalable shared AI infrastructure with well-defined interfaces, efficient caching strategies, and robust tenant isolation. /li liExcellent problem-solving, communication, and collaboration skills, with the ability to work effectively across Product, Design, QA, and engineering teams. /li liA pragmatic, measurement-driven approach to AI development, prioritizing evidence, evaluation, and reliability over simply changing models or rewriting prompts. /li /ul h3Benefits /h3 ul liCompetitive salary package. /li liOpportunity to build and ship production AI solutions used daily by real customers. /li liBroad technical scope across multiple AI products and the shared infrastructure supporting them. /li liSignificant architectural influence and participation in major technical decision-making processes. /li liAccess to a valuable proprietary dataset drawn from approximately 1,200 aesthetic medical practices, supporting the development of differentiated AI capabilities. /li liHigh-autonomy, high-ownership Staff-level individual contributor role with direct influence over the AI roadmap and engineering strategy. /li liOpportunity to contribute to meaningful technology that empowers independent business owners and supports the long-term growth of small businesses. /li liCollaborative, inclusive, and ownership-driven engineering culture that values speed, care, continuous learning, and simplicity. /li liA workplace that welcomes diverse backgrounds and perspectives, with accommodations available throughout the recruitment process. /li /ul #J-18808-Ljbffr
/li liPromote engineering excellence through technical mentorship, knowledge sharing, clear architectural standards, and a culture of continuous improvement. /li /ul h3Requirements /h3 ul liExtensive experience in software engineering at Staff Engineer or equivalent level, with a proven ability to lead complex, ambiguous initiatives as a hands-on individual contributor. /li liDemonstrated experience designing, building, and deploying production-grade LLM applications, AI agents, or generative AI features used by real customers. /li liStrong technical leadership skills, including the ability to influence architectural decisions across teams, establish engineering standards, and drive initiatives from proposal through implementation. /li liProven experience building and maintaining AI evaluation frameworks that combine automated testing, agent traces, human feedback, and production monitoring to measure quality and prevent regressions. /li liStrong understanding of AI agent architecture, tool design, and orchestration, including the ability to determine when deterministic logic is preferable to LLM-based solutions. /li liExperience designing secure and reliable tool boundaries, human-in-the-loop workflows, and systems that balance performance, latency, security, and operational costs. /li liSound judgment in build-versus-buy decisions, model selection, and AI provider integrations.
/li liStrong backend and platform engineering expertise, particularly with Python and Django, PostgreSQL, Redis, asynchronous workers, and REST or GraphQL APIs. /li liAbility to design scalable shared AI infrastructure with well-defined interfaces, efficient caching strategies, and robust tenant isolation. /li liExcellent problem-solving, communication, and collaboration skills, with the ability to work effectively across Product, Design, QA, and engineering teams. /li liA pragmatic, measurement-driven approach to AI development, prioritizing evidence, evaluation, and reliability over simply changing models or rewriting prompts. /li /ul h3Benefits /h3 ul liCompetitive salary package. /li liOpportunity to build and ship production AI solutions used daily by real customers. /li liBroad technical scope across multiple AI products and the shared infrastructure supporting them. /li liSignificant architectural influence and participation in major technical decision-making processes. /li liAccess to a valuable proprietary dataset drawn from approximately 1,200 aesthetic medical practices, supporting the development of differentiated AI capabilities. /li liHigh-autonomy, high-ownership Staff-level individual contributor role with direct influence over the AI roadmap and engineering strategy. /li liOpportunity to contribute to meaningful technology that empowers independent business owners and supports the long-term growth of small businesses. /li liCollaborative, inclusive, and ownership-driven engineering culture that values speed, care, continuous learning, and simplicity. /li liA workplace that welcomes diverse backgrounds and perspectives, with accommodations available throughout the recruitment process. /li /ul #J-18808-Ljbffr