AI Engineer LLMs Autonomous Agents

Posted Jul 9, 2026

<img style="float: left;" src="https://appliedmedical.icims.com/icims2/servlet/icims2?module=AppInert&action=download&id=279088&hashed=895008318" alt="AME - Banner for Job Ads" />Applied Medical is a rapidly growing, global organization that develops, manufactures, and distributes medical devices to more than 75 countries. Our driving purpose is to satisfy the three fundamental healthcare needs: enhanced clinical outcomes, outstanding value, and unrestricted choice.

For 30 years, Applied Medical has been at the forefront of innovation and technology.As a result of our highly vertically integrated business model, we control all our processes in-house, from R&D concept to clinical implementation. At our state-of-the-art manufacturing plants in the US and The Netherlands, we develop advanced surgical technologies for minimum invasive surgery.

For over 30 years, Applied Medical has earned a strong reputation in healthcare as a leading provider of advanced medical devices. At our Middle East headquarters, we support the implementation of our innovative products across the MENAT region through our local sales teams and via our distributors. What connects us all is our mission to improve the quality and affordability of healthcare by enhancing patient outcomes through innovative design and exceptional product quality. If you would like to be part of an innovative and rapidly growing international organization that makes decisions based upon what is right for the patient, customer, community, and environment, then Applied Medical is the place for you! Position Description We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), AI agent frameworks, and Model Context Protocols (MCP). The ideal candidate will design, develop, and deploy advanced AI-powered applications that leverage LLMs for reasoning, planning, and autonomous decision-making.

In this role, you will build agentic systems capable of performing multi-step tasks, interacting with external systems, integrating with APIs and tools, and orchestrating complex workflows end-to-end. You will also implement and optimize MCP-based architectures to ensure reliable tool usage, persistent context management, and robust coordination between agents and backend services. Key Responsibilities:<ul><li>LLM Application Development: Design, fine-tune, and deploy LLM-based applications for reasoning, planning, retrieval, and automation.</li><li>Agent Systems: Build autonomous AI agents that interact with APIs, databases, and tools using frameworks like LangChain, LangGraph, AutoGen, or custom solutions.</li><li>Context & Memory Management: Implement Model Context Protocols (MCP) for persistent context, robust coordination between agents, and seamless tool usage.</li><li>Data & RAG Pipelines: Develop RAG pipelines, vector databases, and prompt-engineering strategies to enable context-aware responses.</li><li>Backend & Infrastructure: Build scalable backend systems and deploy solutions on cloud or on-prem environments (Azure, AWS), with containerization (Docker, Kubernetes).</li><li>Research & Innovation: Stay up-to-date with emerging LLM and agentic technologies and evaluate them for practical applications.</li><li>Collaboration & Governance: Work closely with data science, product, and engineering teams while ensuring responsible AI practices, model safety, and compliance with data privacy regulations.</li></ul> Position Requirements Required Qualifications:<ul><li>Bachelor’s or Master’s in Computer Science, AI/ML, or related field (Ph.D. preferred).</li><li>2+ years building and deploying AI applications with LLMs (OpenAI, Anthropic, HuggingFace).</li><li>Strong Python skills, with experience in Git, FastAPI/Flask, and ML frameworks (PyTorch, TensorFlow).</li><li>Hands-on experience with agent frameworks (AutoGen, LangGraph, CrewAI) and orchestration strategies.</li><li>Proficiency in vector databases (Pinecone, Milvus, ChromaDB, FAISS) and embedding techniques.</li><li>Solid understanding of prompt engineering, RAG, and LLM optimization.</li><li>Familiarity with cloud/on-prem deployment and containerization (Docker, Kubernetes).</li><li>Experience implementing Model Context Protocols for context management and interoperability.</li><li>Experience with multi-agent systems, planning algorithms, or reinforcement learning with LLMs.</li><li>Knowledge of production-grade AI monitoring, logging, and observability.</li><li>Excellent problem-solving skills and ability to thrive in fast-paced, collaborative environments.</li></ul> We Offer <ul><li>A challenging position within a fast-growing, dynamic, and innovative company</li><li>Extensive training in Applied Medical’s products and their applications</li><li>Opportunities for personal development, growth, and continuous learning</li><li>International working environment</li></ul>Interested? Would you like to be part of our expanding team?

If the answer is yes, we look forward to receiving your application!

Originally posted by Applied Medical. View original posting

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