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AI Native Software Engineering Specialist

Pubblicato il 17-08-2026 - Altro in Milano

AI Native Software Engineering Specialist In this role you design, build, and deploy production-grade agentic AI systems across enterprise tech stacks. You work closely with client engineering teams to craft reusable patterns and accelerators that scale beyond a single engagement. You own end-to-end pipelines, from orchestration to observability, delivering robust AI solutions in production. This position sits at the core of scalable AI engineering, offering exposure to industry-wide challenges and cross-platform collaboration. You will drive tangible impact by shaping agentic systems that perform reliably at client scale.
vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams
learning and certifications offered
global collaboration across industries
recognition as one of World's Best Workplaces
Design and build production-grade agentic systems end-to-end (multi-agent orchestration, RAG pipelines, policy-based routing, tool invocation, memory management, observability)
Own RAG pipelines (embeddings, chunking strategy, vector search,



context engineering)
Integrate across LLM providers (OpenAI, Anthropic, Vertex AI, open-source) with fallback routing, token, cost, latency management
Implement LLMOps in production (eval harnesses, prompt versioning, observability, cost and safety monitoring)
Collaborate with client engineering teams through workshops, PoCs, code-with sessions, and architecture walkthroughs
Create reusable patterns, accelerators, and playbooks that scale beyond individual engagements
Define and use metrics to measure agent accuracy, latency, safety, and cost-effectiveness; present findings to stakeholders
Hands-on experience designing and deploying agentic AI solutions in production
Experience with agentic orchestration frameworks (LangGraph, CrewAI, AutoGen, or equivalent) at production depth
Direct experience calling LLM APIs (OpenAI, Anthropic, Vertex AI) in production code
LLMOps fundamentals (eval harness design

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