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Lead ai engineer

Valenza (Provincia di Alessandria)
Selecta
Pubblicato il 11 dicembre
Descrizione

PpFor our client, international strategy company leader in SAAS applications, we are looking for an: bSenior AI Engineer /b /ppThe resource will lead the design and implementation of the Co-Pilot's orchestration layer - the intelligent backbone that powers the multi-agent reasoning system. /ppThe candidate will be the technical architect who translates the ambitious product vision into a scalable, production-ready AI infrastructure. /ph3Responsabilità /h3h3Key Responsibilities /h3h3Architecture System Design (40%) /h3ulliDesign 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 /ulh3Implementation Development (30%) /h3ulliBuild 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 /ulh3Integration Collaboration (20%) /h3ulliPartner 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 /ulh3Leadership Strategy (10%) /h3ulliLead design and architecture reviews for the AI services layer. /liliEvaluate and adopt emerging AI frameworks, models, and tools. /liliDefine code standards, testing practices, and documentation guidelines for multi‑agent systems. /liliContribute to roadmap and sprint planning, aligning product vision with delivery milestones. /liliMentor AI engineers and support their technical growth. /li /ulh3Profilo /h3h3Experience Background /h3ulli8+ 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 /ulh3Technical Skills /h3ulliExpert‑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 /ulp«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.» /p /p #J-18808-Ljbffr

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