Senior Full Stack Engineer - AI Platform & Agent Orchestration

Job Title: Senior Full Stack Engineer - AI Platform & Agent Orchestration Location: Dallas, TXRole Summary We are seeking a Senior Full Stack Engineer with strong analytical and problem-solving skills to build AI-enabled SDLC platform capabilities. The engineer will develop backend services, user interfaces, agent orchestration flows, skills, integrations, automation pipelines, and pilot-ready features that support autonomous software delivery with human checkpoints. Key Responsibilities Design and develop cloud-native services, APIs, workflow interfaces, dashboards, and agent management capabilities. Build and enhance AI skills, tools, agents, and orchestration flows for planning, design, coding, review, testing, and release of workflows. Integrate LLM services with enterprise systems, repositories, CI/CD pipelines, Jira, Azure Dev Ops, Git Hub, and internal knowledge sources. Implement memory, retrieval, artifact management, audit trail, and workflow state capabilities in collaboration with the Technical Lead and AI Engineer. Write clean, secure, testable, and maintainable code with automated testing and CI/CD practices. Troubleshoot agent execution issues, API failures, integration defects, performance bottlenecks, and quality concerns. Support pilot implementation, end-to-end scenario validation, demo preparation, telemetry capture, and backlog refinement. Required Qualifications 10+ years of full stack engineering experience delivering enterprise applications. Strong analytical, debugging, and problem-solving mindset. Hands-on Python engineering experience with API development and service integration. Experience building scalable frontend applications and reusable UI components. Working knowledge of AI agent orchestration, LLM APIs, tool calling, RAG concepts, prompt engineering, and workflow automation. Experience with Agile delivery, code reviews, automated testing, CI/CD, and collaborative engineering practices. Technical Skills Backend: Python, FastAPI, REST APIs, microservices, event-driven integrations Frontend: React.js, Type Script, Next.js, modern UI frameworks, dashboards Cloud/Ops: AWS, Docker, CI/CD, Git Hub, Git Hub Actions, Azure Dev Ops, logging, monitoring and deployment automation. Preferred Qualifications Experience with Lang Graph, Lang Chain, CrewAI, or comparable workflow orchestration tools. Experience with vector databases, embeddings, context retrieval, and memory-backed AI applications. Exposure to AI-enabled developer productivity platforms, code assistants, and agentic SDLC patterns. Ability to independently convert business and platform requirements into working features and integrations.