> Markdown version of [/jobs/ext/3610613-gen-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3610613-gen-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). --- # Gen AI Engineer - **Company:** FutureTech Consultants LLC - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Engineering, Continuous Delivery, Graph Database, Python (Programming Language), Chatbots, Retrieval-Augmented Generation, Large Language Models, Agentic-AI, Event Driven Architecture, Microsoft Copilot Studio, AI Platforms, Machine Learning Operations, AIOps, Microservices - **Published:** October 7, 2026 - **Apply:** https://www.dice.com/job-detail/c824f97a-d510-44c2-adc8-bb6fd2f9cb6c ## About the Role Technical Skills (Must Have) * Strong Python engineering experience (async, APIs, services). * Hands-on experience with LangChain and/or LangGraph in real-world agent implementations. * Experience building Agentic AI systems (not just prompts or chatbots). * Understanding of LLM tooling, RAG, function/tool calling, and orchestration patterns. * Experience implementing CI/CD pipelines for ML or AI-driven systems. * Proven experience in testing LLM outputs and agent behavior. Platform & Architecture: * Experience with enterprise AI platforms (Copilot Studio, Power Platform, or equivalent). * Familiarity with microservices, APIs, event-driven systems, and cloud-native design. * Experience designing governed, production-ready AI architectures. Preferred / Nice to Have: * Experience with Copilot Studio custom agents or connectors. * Knowledge of LLMOps / AI Ops practices. * Experience in regulated domains (financial services, healthcare, compliance-heavy environments). * Familiarity with evaluation frameworks, agent observability tools, and policy engines. * Exposure to graph-based reasoning or knowledge graphs.