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Lead ai engineer

Modugno
LHH
Pubblicato il 13 dicembre
Descrizione

PpFor our client, international strategy company leader in SAAS applications, we are looking for an : /p pbSenior AI Engineer /b /p pThe resource will lead the design and implementation of the Co-Pilot's orchestration layer - the intelligent backbone that powers the multi-agent reasoning system. The candidate will be the technical architect who translates the ambitious product vision into a scalable, production-ready AI infrastructure. /p h3Responsabilità /h3 pKey Responsibilities Architecture System Design (40%) /p pDesign and implement the AI Agent Orchestrator using LangGraph / LangChain and the Model Context Protocol (MCP). /p pArchitect a stateful workflow system to manage document processing, agent lifecycles, and human-in-the-loop interactions. /p pDefine agent communication protocols, JSON-based data schemas, and the lifecycle management framework. /p pBuild an Agent Registry for versioning, discovery, and dynamic routing of specialized agents. /p pDesign fault-tolerant workflows with retries, fallbacks, partial-result preservation, and rollback mechanisms. /p pCreate a multi-model routing layer to balance latency, cost, and accuracy across GPT, Claude, Gemini, and open-source models. /p pImplementation Development (30%) /p pBuild the Agent Executor to manage reasoning loops, retrievals, and validation tasks. /p pDevelop core System Agents (e.g., Query Understanding, Context Retrieval, Reasoning, Memory, Validation). /p pImplement an asynchronous execution framework using RabbitMQ / Kafka / SQS for long-running workflows. /p pCreate prompt management tools for versioning, A / B tests, and regression testing. /p pDevelop observability pipelines with OpenTelemetry, LangSmith, and custom telemetry for tracing agent activity. /p pIntegration Collaboration (20%) /p pPartner with the Knowledge Graph Engineer to combine vector search and graph-based reasoning. /p pWork with Data Scientists to embed their prompts and reasoning chains into the orchestration layer. /p pCollaborate with frontend engineers to design WebSocket and REST APIs for real-time agent interactions. /p pIntegrate with backend services for ETL pipelines, validation utilities, and memory / session management. /p pLeadership Strategy (10%) /p pLead design and architecture reviews for the AI services layer. /p pEvaluate and adopt emerging AI frameworks, models, and tools. /p pDefine code standards, testing practices, and documentation guidelines for multi-agent systems. /p pContribute to roadmap and sprint planning, aligning product vision with delivery milestones. /p pMentor AI engineers and support their technical growth. /p h3Profilo /h3 bExperience Background /b ul li8+ years in software engineering, AI / ML engineering, or related fields /li li3+ years working with LLMs, multi-agent systems, or agentic AI architectures /li liProven track record of architecting and shipping production AI systems at scale /li liExperience leading technical projects or small engineering teams /li /ul h3Technical Skills /h3 ul liExpert-level Python with strong async / await patterns and type hints /li liDeep experience with LangChain, LangGraph, or similar agent orchestration frameworks /li liProduction experience with LLM APIs (OpenAI, Anthropic, Google) and understanding of prompt engineering, temperature / token controls, and cost optimization /li liFastAPI or similar async web framework experience /li liHands-on experience with vector databases (Weaviate, Pinecone, FAISS, Chroma) and semantic search /li liFamiliarity with graph databases (Neo4j, TigerGraph) and query languages (Cypher, SPARQL) /li /ul p«I candidati, nel rispetto del D.lgs. 198 / 2006, D.lgs. 215 / 2003 e D.lgs. 216 / 2003, sono invitati a leggere l’informativa sulla privacy consultabile sotto il form di richiesta dati della pagina di candidatura (Regolamento UE n. 2016 / 679). /p pL’offerta è rivolta a candidati di entrambi i sessi, nel rispetto del D.lgs. 198 / 2006 e della normativa vigente in materia di pari opportunità. L’azienda promuove un ambiente di lavoro inclusivo e garantisce pari opportunità a tutte le persone, indipendentemente da genere, età, origine, orientamento sessuale or disabilità.» /p /p #J-18808-Ljbffr

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