> Markdown version of [/jobs/ext/3968002-senior-genai-lead-developer](https://www.wearedevelopers.com/jobs/ext/3968002-senior-genai-lead-developer). 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 GENAI Lead Developer - **Company:** Synechron Inc - **Location:** Mundelein, IL, United States - **Experience:** Expert - **Salary:** $110,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Continuous Integration, Python (Programming Language), Open Source Technology, OpenAI, Software Engineering, Pinecone, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Agentic-AI, Containerization, Deployment Automation, CrewAI, Weaviate, AutoGen, Machine Learning Operations, FAISS, Claude, Google Gemini, ChromaDB - **Published:** October 27, 2026 - **Apply:** https://www.thejobnetwork.com/job/2b26bb52-41e8-442c-b66d-3343af51a161/senior-genai-lead-developer ## About the Role * 8+ years of software engineering experience with 3+ years in Generative AI. \n * Strong hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source LLMs (Llama, Mistral). \n * Expertise in Python and AI frameworks. \n * Experience with: LangChain LangGraph CrewAI / AutoGen \n * Strong understanding of: Prompt Engineering, RAG Architecture, Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS),mMulti-Agent Systems \n * Experience with cloud platforms (Azure/AWS/GCP). \n * Knowledge of MLOps and CI/CD for AI deployments. \n ## Description We are seeking an experienced Generative AI Lead to drive the design, development, and delivery of enterprise-scale AI and GenAI solutions. The ideal candidate will lead AI initiatives, define architecture standards, mentor engineering teams, and collaborate with business stakeholders to implement innovative AI-powered products using LLMs, Agentic AI, RAG, and cloud-native technologies.