> Markdown version of [/jobs/ext/3655545-sr-ai-engineer](https://www.wearedevelopers.com/jobs/ext/3655545-sr-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). --- # Sr. AI Engineer - **Company:** Brooksource - **Location:** Miami, FL, United States - **Experience:** Expert - **Salary:** $176,800.0 - $187,200.0 - **Contract:** Temporary to permanent - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, Code Review, Databases, Information Engineering, Software Debugging, Memory Management, Python (Programming Language), Object-Oriented Software Development, Software Architecture, OpenAI, Software Construction, Software Engineering, Systems Integration, Workflow Management Systems, Enterprise Data Management, Pinecone, Enterprise Software Applications, LangChain, Large Language Models, Multi-Agent Systems, Software Application Programming, Generative AI, Backend, Agentic-AI, Git, Pgvector, AI Platforms, Weaviate, Milvus, Google Gemini, Restful APIs, Model Context Protocol, Automation Anywhere, Docker, ChromaDB - **Published:** October 9, 2026 - **Apply:** https://www.disabledperson.com/jobs/75936436-sr-ai-engineer ## About the Role * 5+ years of professional software engineering experience. * Expert-level Python development experience. * Experience building production backend services and APIs. * Experience developing applications utilizing Large Language Models (OpenAI, Anthropic, Gemini, etc.). * Hands-on experience with LangChain and/or LangGraph. * Experience implementing AI agents with tool calling, workflow orchestration, and memory. * Strong understanding of software architecture and object-oriented design. * Experience integrating enterprise APIs and external services. * Experience working with Git and CI/CD pipelines. * Excellent debugging and problem-solving skills. * Strong communication skills and ability to work directly with technical stakeholders., * Experience deploying AI applications into production. * Experience with Retrieval-Augmented Generation (RAG). * Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector, ChromaDB, etc.). * Experience with Model Context Protocol (MCP). * Experience building multi-agent systems. * Experience evaluating and monitoring LLM applications. * Experience with Azure OpenAI or cloud AI platforms. * Experience with Docker and Kubernetes. * Experience working within enterprise software environments. ## Description We are seeking a Senior AI Engineer to join our Enterprise Data & AI organization and help build the next generation of AI-powered applications and autonomous agent systems. This role will partner closely with the AI Engineering Manager to design, build, and scale production-grade Agentic AI solutions that solve complex business problems across the enterprise. The ideal candidate is a strong Python engineer with hands-on experience building LLM-powered applications and AI agents using modern orchestration frameworks such as LangGraph and LangChain., * Design and develop production-ready AI agents using LangGraph, LangChain, OpenAI APIs, and related frameworks. * Build multi-agent workflows capable of reasoning, tool usage, memory management, and orchestration. * Translate defined business requirements into scalable AI solutions. * Partner with AI Engineering leadership on architecture and implementation of enterprise AI initiatives. * Build reusable AI services and components that can be leveraged across multiple business domains. * Develop REST APIs and backend services supporting AI applications. * Integrate AI solutions with internal enterprise platforms, APIs, and databases. * Write clean, testable, maintainable Python code following software engineering best practices. * Troubleshoot and optimize AI workflows for latency, reliability, and cost. * Participate in code reviews and help establish engineering standards for AI development. * Collaborate closely with Data Engineering and GenAI Engineering teams on shared AI platforms.