Lead AI Engineer

For our client, international strategy company leader in SAAS applications, we are looking for an:

Senior AI Engineer

The 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

• Design and implement the AI
  Agent Orchestrator using LangGraph/LangChain and the Model Context Protocol
  (MCP).
• Architect a stateful workflow
  system to manage document processing, agent lifecycles, and human-in-the-loop
  interactions.
• Define agent communication
  protocols, JSON-based data schemas, and the lifecycle management framework.
• Build an Agent Registry for
  versioning, discovery, and dynamic routing of specialized agents.
• Design fault-tolerant workflows
  with retries, fallbacks, partial-result preservation, and rollback mechanisms.
• Create a multi-model routing
  layer to balance latency, cost, and accuracy across GPT, Claude, Gemini, and
  open-source models.

• Build the Agent Executor to
  manage reasoning loops, retrievals, and validation tasks.
• Develop core System Agents
  (e.g., Query Understanding, Context Retrieval, Reasoning, Memory, Validation).
• Implement an asynchronous
  execution framework using RabbitMQ/Kafka/SQS for long-running workflows.
• Create prompt management tools
  for versioning, A/B tests, and regression testing.
• Develop observability pipelines
  with OpenTelemetry, LangSmith, and custom telemetry for tracing agent activity.

• Partner with the Knowledge
  Graph Engineer to combine vector search and graph-based reasoning
• Work with Data Scientists to
  embed their prompts and reasoning chains into the orchestration layer.
• Collaborate with frontend
  engineers to design WebSocket and REST APIs for real-time agent interactions.
• Integrate with backend services
  for ETL pipelines, validation utilities, and memory/session management.

• ·
  Lead design and architecture
  reviews for the AI services layer.

• Evaluate and adopt emerging AI
  frameworks, models, and tools.

• Define code standards, testing
  practices, and documentation guidelines for multi-agent systems.

• Contribute to roadmap and
  sprint planning, aligning product vision with delivery milestones.

• Mentor AI engineers and support
  their technical growth.

Profilo

Experience & Background

• 8+ years in software engineering, AI/ML engineering, or related fields
• 3+ years working with LLMs, multi-agent systems, or agentic AI architectures
• Proven track record of architecting and shipping production AI systems at scale
• Experience leading technical projects or small engineering teams

Technical Skills

• Expert-level Python with strong async/await patterns and type hints
• Deep experience with LangChain, LangGraph, or similar agent orchestration frameworks
• Production experience with LLM APIs (OpenAI, Anthropic, Google) and understanding of prompt engineering, temperature/token controls, and cost optimization
• FastAPI or similar async web framework experience
• Hands-on experience with vector databases (Weaviate, Pinecone, FAISS, Chroma) and semantic search
• Familiarity with graph databases (Neo4j, TigerGraph) and query languages (Cypher, SPARQL)

«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).
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.»