Generative AI Engineer (Large Language Models & AI Agents)

About the role

Opsfleet, a professional services team of over 60 engineers based in Israel, is looking for an experienced AI Engineer with a background in Data Science, Machine Learning, Backend development or equivalent. This full-time, remote-first role focuses on Generative AI: working with advanced Large Language Models (LLMs) and building AI agents. The engineer designs the cognitive architectures behind autonomous, production-grade agentic systems, using foundation models via AWS Bedrock and GCP Vertex AI.

Key responsibilities

• Architect and deploy complex Multi-Agent Systems that go beyond basic RAG, with autonomous reasoning, planning and execution.
• Design context management strategies such as sliding windows, semantic summarization and token-efficient pruning.
• Create standardized interfaces using MCP so agents can connect to external APIs, databases and local environments.
• Implement state handling for long-running agentic tasks with frameworks such as LangChain, LangGraph, Agno, Strands and ADK.
• Build safety measures including output sanitization, hallucination triggers and autonomous circuit breakers.
• Construct memory layers that manage user preferences and historical context.
• Define evaluation requirements for trajectory consistency, tool-calling accuracy and reasoning logic.

Required profile

• 5+ years of Python experience with modular architecture and clean code.
• Expert knowledge of modern orchestration frameworks (LangChain, LangGraph, Agno, Strands, ADK).
• Experience with MCP and A2A.
• Preferred: direct experience with AgentCore and native agent engines (AWS Bedrock Agents, GCP Vertex AI Agent Engine), multi-modal agents, and software factories or AI-driven development lifecycles.

Required skills

• AWS Bedrock or GCP Vertex AI
• Knowledge graphs and vector databases
• Function calling and tool definition

What we offer

• Full-time position (40 hours per week)
• Potential career paths and a collaborative remote team
• Opportunity to contribute to open-source GenAI initiatives and research publications