> Markdown version of [/jobs/ext/4013366-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4013366-senior-ai-engineer). 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). --- # Senior AI Engineer - **Company:** TechDigital Corporation - **Location:** Dearborn, MI, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Python (Programming Language), Knowledge-Based Systems, OpenAI, Software Engineering, LangChain, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, AI Platforms, Kubernetes, CrewAI, AutoGen, Machine Learning Operations, Virtual Agents, Google Gemini, Model Context Protocol, Semantic Kernel - **Published:** October 29, 2026 - **Apply:** https://www.thejobnetwork.com/job/351fd5be-85bf-4698-a28a-4c75f1efa44e/senior-ai-engineer ## About the Role * 10 years of software engineering experience. * Strong proficiency in Python. * Hands-on experience with Large Language Models (LLMs). * Expertise in Agentic AI architectures. * Experience with RAG implementation and vector databases. * Knowledge of MCP (Model Context Protocol). * Experience with LangChain, Semantic Kernel, AutoGen, CrewAI, or similar frameworks. * Understanding of AI deployment, monitoring, and governance. Preferred Skills * Experience with Azure OpenAI, OpenAI, Anthropic, or Gemini ecosystems. * Knowledge of MLOps and AI platform engineering. * Automotive domain experience. Top Skills: AI, LLM, RAG Agentic AI Python, MCP ## Description We are seeking a Senior AI Engineer to design, develop, and deploy next-generation Agentic AI solutions leveraging MCP, RAG, and Python-based AI development frameworks. The role will drive the creation of intelligent agents, orchestration frameworks, and enterprise AI applications, * Design and develop Agentic AI solutions and autonomous workflows. * Build RAG-based enterprise knowledge systems. * Develop AI agents using LLM orchestration frameworks. * Implement MCP-based integrations and context management. * Engineer prompt strategies and reasoning workflows. * Collaborate with data engineers and business stakeholders. * Evaluate and integrate emerging GenAI technologies.