Lead Ai Engineer.

For our client, international strategy company leader in SAAS applications, we are looking for an:Senior AI EngineerThe 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.Responsabilità Key Responsibilities Architecture & System Design (40%)Design and implement the AIAgent Orchestrator using Lang Graph/Lang Chain and the Model Context Protocol(MCP).Architect a stateful workflowsystem to manage document processing, agent lifecycles, and human-in-the-loopinteractions.Define agent communicationprotocols, JSON-based data schemas, and the lifecycle management framework.Build an Agent Registry forversioning, discovery, and dynamic routing of specialized agents.Design fault-tolerant workflowswith retries, fallbacks, partial-result preservation, and rollback mechanisms.Create a multi-model routinglayer to balance latency, cost, and accuracy across GPT, Claude, Gemini, andopen-source models. Implementation & Development (30%)Build the Agent Executor tomanage reasoning loops, retrievals, and validation tasks.Develop core System Agents(e.g., Query Understanding, Context Retrieval, Reasoning, Memory, Validation).Implement an asynchronousexecution framework using Rabbit MQ/Kafka/SQS for long-running workflows.Create prompt management toolsfor versioning, A/B tests, and regression testing.Develop observability pipelineswith Open Telemetry, Lang Smith, and custom telemetry for tracing agent activity. Integration & Collaboration (20%)Partner with the KnowledgeGraph Engineer to combine vector search and graph-based reasoningWork with Data Scientists toembed their prompts and reasoning chains into the orchestration layer.Collaborate with frontendengineers to design Web Socket and REST APIs for real-time agent interactions.Integrate with backend servicesfor ETL pipelines, validation utilities, and memory/session management. Leadership & Strategy (10%)·Lead design and architecturereviews for the AI services layer.Evaluate and adopt emerging AIframeworks, models, and tools.Define code standards, testingpractices, and documentation guidelines for multi-agent systems.Contribute to roadmap andsprint planning, aligning product vision with delivery milestones.Mentor AI engineers and supporttheir technical growth.ProfiloExperience & Background8+ years in software engineering, AI/ML engineering, or related fields3+ years working with LLMs, multi-agent systems, or agentic AI architecturesProven track record of architecting and shipping production AI systems at scaleExperience leading technical projects or small engineering teams Technical SkillsExpert-level Python with strong async/await patterns and type hintsDeep experience with Lang Chain, Lang Graph, or similar agent orchestration frameworksProduction experience with LLM APIs (Open AI, Anthropic, Google) and understanding of prompt engineering, temperature/token controls, and cost optimizationFast API or similar async web framework experienceHands-on experience with vector databases (Weaviate, Pinecone, FAISS, Chroma) and semantic searchFamiliarity with graph databases (Neo4j, Tiger Graph) and query languages (Cypher, SPARQL) «I candidati, nel rispetto del D.lgs. ********, D.lgs. ******** e D.lgs. ********, sono invitati a leggere l'informativa sulla privacy consultabile sotto il form di richiesta dati della pagina di candidatura (Regolamento UE n. ********).L'offerta è rivolta a candidati di entrambi i sessi, nel rispetto del D.lgs. ******** 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.»