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Lead ai engineer

Modugno
LHH
Pubblicato il 10 dicembre
Descrizione

PFor our client, international strategy company leader in SAAS applications, we are looking for an: /p p bSenior 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. /pbr/br/pbResponsabilità /b /pbKey Responsibilities Architecture System Design (40%) /b ulliDesign and implement the AI Agent Orchestrator using LangGraph/LangChain and the Model Context Protocol (MCP). /liliArchitect a stateful workflow system to manage document processing, agent lifecycles, and human-in-the-loop interactions. /liliDefine agent communication protocols, JSON-based data schemas, and the lifecycle management framework. /liliBuild an Agent Registry for versioning, discovery, and dynamic routing of specialized agents. /liliDesign fault-tolerant workflows with retries, fallbacks, partial-result preservation, and rollback mechanisms. /liliCreate a multi-model routing layer to balance latency, cost, and accuracy across GPT, Claude, Gemini, and open-source models. /li /ul bImplementation Development (30%) /b ulliBuild the Agent Executor to manage reasoning loops, retrievals, and validation tasks. /liliDevelop core System Agents (e.g., Query Understanding, Context Retrieval, Reasoning, Memory, Validation). /liliImplement an asynchronous execution framework using RabbitMQ/Kafka/SQS for long-running workflows. /liliCreate prompt management tools for versioning, A/B tests, and regression testing. /liliDevelop observability pipelines with OpenTelemetry, LangSmith, and custom telemetry for tracing agent activity. /li /ul bIntegration Collaboration (20%) /b ulliPartner with the Knowledge Graph Engineer to combine vector search and graph-based reasoning /liliWork with Data Scientists to embed their prompts and reasoning chains into the orchestration layer. /liliCollaborate with frontend engineers to design WebSocket and REST APIs for real-time agent interactions. /liliIntegrate with backend services for ETL pipelines, validation utilities, and memory/session management. /li /ul bLeadership Strategy (10%) /b ullip· Lead design and architecture reviews for the AI services layer. /p /lilipEvaluate and adopt emerging AI frameworks, models, and tools. /p /lilipDefine code standards, testing practices, and documentation guidelines for multi-agent systems. /p /lilipContribute to roadmap and sprint planning, aligning product vision with delivery milestones. /p /lilipMentor AI engineers and support their technical growth. /p /li /ulbr/br/pbProfilo /b /pp bExperience Background /b /p ulli8+ years in software engineering, AI/ML engineering, or related fields /lili3+ years working with LLMs, multi-agent systems, or agentic AI architectures /liliProven track record of architecting and shipping production AI systems at scale /liliExperience leading technical projects or small engineering teams /li /ul p bTechnical Skills /b /p ulliExpert-level Python with strong async/await patterns and type hints /liliDeep experience with LangChain, LangGraph, or similar agent orchestration frameworks /liliProduction experience with LLM APIs (OpenAI, Anthropic, Google) and understanding of prompt engineering, temperature/token controls, and cost optimization /liliFastAPI or similar async web framework experience /liliHands-on experience with vector databases (Weaviate, Pinecone, FAISS, Chroma) and semantic search /liliFamiliarity with graph databases (Neo4j, TigerGraph) and query languages (Cypher, SPARQL) /li /ulbr/br/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).br L’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 o disabilità.» /pbr/br/

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