> Markdown version of [/jobs/ext/4544020-lead-software-eng-lead-python-ai-llm-rag-engineer](https://www.wearedevelopers.com/jobs/ext/4544020-lead-software-eng-lead-python-ai-llm-rag-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). --- # Lead Software Eng - Lead Python AI/LLM/RAG Engineer - **Company:** Compunnel Inc. - **Location:** Charlotte, NC, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** AI Evaluation, Application Programming Interfaces (APIs), Artificial Intelligence, Cloud Computing, Code Review, Python (Programming Language), Runbook, Software Engineering, Workflow Management Systems, Retrieval-Augmented Generation, Large Language Models, Generative AI, Agentic-AI, AI Platforms, Api Design, Restful APIs - **Published:** November 3, 2026 - **Apply:** https://www.dice.com/job-detail/21021da0-8ef4-4eae-9528-73e0279a742b ## About the Role 5+ years of experience Bachelor's Degree Skills Python Development Large Language Models (LLM) Application Development Retrieval-Augmented Generation (RAG) Pipelines REST API Development Vector Databases Cloud Deployment AI/ML Agentic Development AI Workflow Orchestration Model Fine-Tuning AI Evaluation, Observability, and Guardrails Production Monitoring and Security Controls Solution Architecture Leadership Mentoring and Coaching Technical Documentation Stakeholder Management Code Review Facilitation ## Description Design and develop AI applications using Python, LLMs, and enterprise APIs Build and improve RAG pipelines, including document ingestion, embeddings, and vector search Evaluate AI responses for accuracy, reliability, latency, and cost, and troubleshoot issues Deploy and monitor AI services in cloud and on-premises environments while maintaining security and operational stability Lead technical discussions, review code, and mentor engineers on implementation Collaborate with business stakeholders to clarify requirements, prioritize tasks, and demonstrate progress Maintain technical documentation, deployment runbooks, and knowledge transfer materials Lead technical architecture, Python development, LLM integration, API development, and retrieval-augmented generation initiatives Implement automated evaluation, security controls, cloud deployment, and production monitoring for AI solutions