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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Svetz O and P Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Cloud Computing, Databases, Directed Acyclic Graph (Directed Graphs), Graph Database, Python (Programming Language), Machine Learning, Open Source Technology, Software Engineering, Large Language Models, Multi-Agent Systems, Generative AI, Backend, Kubernetes, Machine Learning Operations, Web Api - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pelfhcmbe0 ## About the Role We are seeking a talented and experienced AI Engineer with a background in Data Science, Machine Learning, Backend development, or equivalent to join our professional services team of over 60 engineers, headquartered in Israel. The position is available full-time. This remote-first role focuses on Generative AI, specifically working with advanced Large Language Models (LLMs) and building AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients., * Software 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., * Agent Engine Mastery: Direct experience working with AgentCore architectures and native Agent Engines (AWS Bedrock Agents / GCP Vertex AI Agent Engine). * Multi-Modal Expertise: Experience building agents capable of synthesizing information across Text, Vision, and Video sources. * The "Agentic Mindset": You can explain the difference between a linear chain and a directed acyclic graph (DAG), and you know exactly when an agent is the right tool vs. a simple workflow. * The Reviewer's Eye: Experience conducting deep technical reviews of AI implementations, identifying architectural bottlenecks or "lazy" agent logic. * Production Battle Scars: You've dealt with agents getting stuck in infinite loops or hallucinating tool-calls, and you know how to build the infrastructure to prevent it. ## Description At Opsfleet, we don't just "wrap" LLMs; we build autonomous, production-grade agentic systems. We are seeking an Engineer who understands that the future of AI isn't a single prompt, but a complex, stateful ecosystem of collaborating agents. You will be responsible for designing the cognitive architectures that allow multiple agents to negotiate, self-correct, and execute complex workflows in production., * Agentic 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., * Define Agentic Autonomy: You aren't just following tutorials; you are architecting the blueprint for how autonomous systems reason, collaborate, and execute. You will set the industry standards for agentic maturity, moving beyond simple task-execution into complex, self-correcting cognitive architectures. * Complex Projects: Work on everything from internal coding agents to massive client-facing multi-agent orchestrators. * Remote-First: A culture built by engineers, for engineers Employment: Full-time position (40 hours/week) Benefits: * Potential career paths * Collaborative remote team environment * Opportunity to contribute to open-source GenAI initiatives and research publications ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [Web APIs you might not know about](https://www.wearedevelopers.com/videos/281-web-apis-you-might-not-know-about) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Project Fugu: Extending the web](https://www.wearedevelopers.com/videos/832-project-fugu-extending-the-web) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)