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AI Engineer at LinkedIn

Switzerland, Manitoba, Switzerland -

Full Time

Start Date

Immediate

Expiry Date

20 Nov, 26

Salary

0.0

Posted On

22 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Industry

Information Technology & Services

Description

Core ResponsibilitiesAgentic System Design: Architect and deploy complex Multi-Agent Systems (MAS) that move beyond basic RAG into autonomous reasoning, planning, and execution.
Context Orchestration: Design and implement dynamic Context Management strategies, including sliding windows, semantic summarization, and token-efficient pruning to maintain long-term coherence without exceeding model limits.
Tool-Use & API Synthesis: Expertise in Function Calling and Tool Definition; specifically creating standardized interfaces using MCP for agents to interact with external APIs, databases, and local environments.
Orchestration & Frameworks: You will be responsible for designing and implementing robust state-handling for long-running agentic tasks using LangChain, LangGraph, Agno, Strands, ADK, etc.
Safety & Guardrails: Design and implement Production Safety Measures, including output sanitization, hallucination triggers, and autonomous circuit breakers to ensure reliability in high-stakes environments.
Memory & Personalization: Build sophisticated memory layers that manage User Preferences and historical context, ensuring agents provide personalized, context-aware interactions over time.
System Evaluations: Define and implement rigorous requirements for Agentic Evaluation, benchmarking trajectory consistency, tool-calling accuracy, and reasoning logic.

Technical Stack & RequirementsSoftware Design: 5+ years of Python experience with a focus on Modular Architecture and clean code principles.
Agentic Frameworks: Expert-level proficiency in modern orchestration frameworks (LangChain, LangGraph, Agno, Strands, ADK, etc.).
Cloud Infrastructure: Deep experience with AWS Bedrock or GCP Vertex AI for enterprise-scale model deployment and agent hosting.
Communication Standards: Hands-on experience with MCP for connecting agents to diverse data sources and tools, and A2A for cross-agent collaboration.
Vector & Graph Databases: Proficiency in using Knowledge Graphs and vector storage to ground agentic reasoning and provide structured organizational memory.

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Responsibilities