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
Key Responsibilities
Architecture & System Design (40%)
* 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.
Implementation & Development (30%)
* 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.
Integration & Collaboration (20%)
* 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.
Leadership & Strategy (10%)
* 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)
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