> Markdown version of [/jobs/ext/3056157-software-engineer-ai-engineer-ii-iii](https://www.wearedevelopers.com/jobs/ext/3056157-software-engineer-ai-engineer-ii-iii). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - AI Engineer II/III - **Company:** _____applied Medical - **Location:** United States - **Experience:** Experienced - **Salary:** $80,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Encodings, Databases, Memory Management, Interoperability, Python (Programming Language), Tensorflow, Reinforcement Learning, Data Logging, Pytorch, Flask (Web Framework), Large Language Models, Multi-Agent Systems, Prompt Engineering, Backend, Git, Fastapi, Containerization, Kubernetes, Information Technology, HuggingFace, Virtual Agents, Docker - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/software-engineer-ai-engineer-iiiii-509977050 ## About the Role We are seeking a highly skilled AI Engineer with deep expertisein 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 optimizeMCP-based architectures to ensure reliable tool usage, persistent context management, and robust coordination between agents and backend services. Collaboration is a fundamental part of our organization's culture and is essential to our continued success. As such, the successful candidate for this position is expected to work on-site, enabling them to engage fully with colleagues and contribute to cross-functional initiatives. Therefore, the ability to work collaboratively and contribute to a positive and supportive team environment is a key requirement for this role., This position requires the following skills and attributes: * Bachelor's or Master's in Computer Science, AI/ML, or related field (Ph.D. preferred). * 2+ years building and deploying AI applications with LLMs (OpenAI, Anthropic, HuggingFace). * Strong Python skills, with experience in Git, FastAPI/Flask, and ML frameworks (PyTorch, TensorFlow). * Hands-on experience with agent frameworks (AutoGen, LangGraph, CrewAI) and orchestration strategies. * Proficiency in vector databases (Pinecone, Milvus, ChromaDB, FAISS) and embedding techniques. * Solid understanding of prompt engineering, RAG, and LLM optimization. * Familiarity with cloud/on-prem deployment and containerization (Docker, Kubernetes). * Experience implementing Model Context Protocols for context management and interoperability. * Experience with multi-agent systems, planning algorithms, or reinforcement learning with LLMs. * Knowledge of production-grade AI monitoring, logging, and observability. * Excellent problem-solving skills and ability to thrive in fast-paced, collaborative environments. ## Description * LLM Application Development: Design, fine-tune, and deploy LLM-based applications for reasoning, planning, retrieval, and automation. * Agent Systems: Build autonomous AI agents that interact with APIs, databases, and tools using frameworks like LangChain, LangGraph, AutoGen, or custom solutions. * Context & Memory Management: Implement Model Context Protocols (MCP) for persistent context, robust coordination between agents, and seamless tool usage. * Data & RAG Pipelines: Develop RAG pipelines, vector databases, and prompt-engineering strategies to enable context-aware responses. * Backend & Infrastructure: Build scalable backend systems and deploy solutions on cloud or on-prem environments (Azure, AWS), with containerization (Docker, Kubernetes). * Research & Innovation: Stay up-to-date with emerging LLM and agentic technologies and evaluate them for practical applications. * Collaboration & Governance: Work closely with data science, product, and engineering teams while ensuring responsible AI practices, model safety, and compliancewith data privacy regulations. ## Related Videos - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Prompt Engineering is a Job of the Past](https://www.wearedevelopers.com/magazine/342-prompt-engineering-is-a-job-of-the-past) - [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)