Senior Ai Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mwdy1

OverviewAs part of the msg group, you will translate business processes into reliable, production-ready AI agents and systems. You design end-to-end pipelines, selection of tools, and human handoffs to ensure accuracy and trust in deployed models. You focus on turning complex domain logic into testable, measurable solutions with clear ownership of quality. This role combines engineering rigor with business impact, delivering scalable retrieval, grounding, and evaluation capabilities. A meaningful chance to shape how AI touches real work for leading enterprises.Retribuzione / Benefitscompetitive salaries 55. Eurbroad range of benefitsdiversity and cultural differences are cherishedResponsabilitàDecompose business processes into steps, tools, handoffs, and decision points for agent-based executionDesign and implement retrieval pipelines with chunking, embedding models, hybrid search, and grounding to source dataTreat prompt and context engineering as an engineering discipline with versioning, tests, and measurementBuild the evaluation layer with datasets, automated scoring, and regression suitesInstrument production systems for observability: traces, latency, costs, failure rates, and driftOwn end-to-end quality and diagnose failures to their root cause across retrieval, reasoning, tooling, or dataBalance model quality, cost, and latency,



adapting choices as models evolveCollaborate with business experts to extract domain logic and translate it into testable artifactsTake agents into production with platform and infrastructure teams and monitor live behaviorRequisiti fondamentali5+ years software development experience, 2+ years with production LLM-based systemsStrong Python fundamentals: version control, tests, code reviews, incremental deliveryExperience with async work, FastAPI and Pydantic or equivalentsHands-on with at least one agent orchestration framework (LangGraph, LlamaIndex Workflows, OpenAI Agents SDK, Temporal)Experience serving models via managed platforms (AWS Bedrock, Azure AI Foundry, Google Vertex AI) or provider APIs with streaming, structured output, prompt caching, rate-limitingProduction vector search experience (pgvector, Qdrant, Pinecone, Weaviate, Milvus, Azure AI Search) with understanding xysqume of trade-offsDeep retrieval expertise (chunking, metadata filtering, query rewriting, hybrid search, reranking)Fluent in tool and function calling, structured output, and multi-step agent designHands-on with Model Context Protocol (MCP): building servers, tool interfaces, auth and error handlingEvidence of a solid evaluation discipline and a measurable eval harnessAbility to work with business experts to produce workable specificationsJudgment to select appropriate tools vs rules engines and plain queriesFluent Englishcomfort with ambiguitystrong communication with business stakeholderscollaboration across cross-functional teamsPythonFastAPIPydantic#J-18808-Ljbffr

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8mwdy1