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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** Advanced - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Software Debugging, Graph Database, Python (Programming Language), Machine Learning, Performance Tuning, Search Technologies, Software Engineering, Systems Integration, Enterprise Software Applications, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Agentic-AI, Build Management, Machine Learning Operations, Virtual Agents, Evaluation of Large Language Models, Api Design, Model Context Protocol, Automation Anywhere - **Published:** October 2, 2026 - **Apply:** https://www.dice.com/job-detail/2903409f-8e1b-4f6e-8102-4bf683208359 ## About the Role * 10 years of overall experience in Software Engineering, Machine Learning, Data Science, AI Engineering, or a related technical field. * Strong hands-on programming experience with Python. * Strong background in Machine Learning, Data Science, or AI/ML concepts. * Hands-on experience building AI or agentic applications using LLMs. * Experience with AI agent frameworks such as LangChain and/or LangGraph. * Experience designing or implementing RAG pipelines. * Understanding of LLM behavior and limitations, including tokens, context management, hallucinations, guardrails, performance, and cost considerations. * Experience with prompt engineering and agentic workflows. * Experience with or strong familiarity with MCP (Model Context Protocol) and AI tool or skills integrations. * Experience with LLM evaluation, testing, debugging, and optimization. * Knowledge of NLP concepts and techniques. * Experience working with APIs and integrating AI applications with external tools and enterprise systems. * Strong understanding of data privacy and security considerations when developing AI applications. * Ability to independently analyze technical problems and recommend appropriate AI solutions and designs. Preferred Skills: * Experience with multi-agent systems and orchestration. * Experience with Knowledge Graphs. * Experience with vector databases, embeddings, and semantic search. * Experience deploying AI/ML applications in cloud environments. * Experience building production-grade AI applications in an enterprise environment. ## Description We are seeking a hands-on Senior AI Engineer to help design and build advanced AI and agentic applications. This individual will bring strong technical depth in AI/ML, Python, LLMs, and agentic systems and will be responsible for helping shape technical solutions while remaining actively involved in development and implementation., * Design and build AI-powered and agentic applications using Python, LLMs, LangChain, and LangGraph. * Help define technical solutions and architecture for complex AI and multi-agent workflows. * Design and implement agent orchestration, including multi-step and multi-turn workflows, tool usage, memory, and interactions between agents and external systems. * Build and optimize RAG pipelines, including retrieval strategies, embeddings, vector search, and integration with enterprise knowledge sources. * Contribute to the integration and use of Knowledge Graphs and structured data within AI applications. * Work with MCP and AI skills/tool integrations to connect AI agents with external applications, APIs, and enterprise systems. * Apply strong understanding of LLMs and Machine Learning concepts to make informed decisions around model selection, performance, cost, reliability, hallucinations, and guardrails. * Develop and improve prompt strategies and agent behavior. * Define and implement approaches for LLM evaluation, AI testing, debugging, and performance optimization. * Troubleshoot complex AI workflows, including multi-turn conversations, retrieval issues, hallucinations, tool failures, and orchestration challenges. * Help establish best practices around AI security, data privacy, and responsible AI development. * Collaborate with engineers and technical teams to translate business problems into scalable AI solutions. ## Related Videos - [Building AI Applications with LangChain and Node.js](https://www.wearedevelopers.com/videos/1512-building-ai-applications-with-langchain-and-node-js) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [AI Agents Graph: Your following tool in your Java AI journey](https://www.wearedevelopers.com/videos/1550-ai-agents-graph-your-following-tool-in-your-java-ai-journey) - [OpenAI for FinTech: Building a Stock Market Advisor Chatbot](https://www.wearedevelopers.com/videos/805-openai-for-fintech-building-a-stock-market-advisor-chatbot) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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 Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)