> Markdown version of [/jobs/ext/4216721-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4216721-senior-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). --- # senior AI engineer - **Company:** Diverse Lynx LLC - **Location:** Long Beach, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Cloud Computing, Databases, Python (Programming Language), Software Engineering, Scripting, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Software Application Programming, Backend, Agentic-AI, Build Management, AutoGen, GPT - **Published:** October 31, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-ai-engineer-long-beach-ca--7ed52585-bbd0-4cfa-a563-73d6422e9cba ## About the Role Artificial Intelligence (AI), Python Programming/Scripting Language, Systems Scalability, Artificial Intelligence (AI), Application Programming Interface (API), Software Development, Memory Hardware, Database Technology, Cloud Applications, Backend as a Service (BaaS) ## Description We are seeking a senior AI engineer to design and build production-grade LLM-powered applications and agentic systems. This role owns the end-to-end development of intelligent solutions-from architecture to deployment-leveraging Python, modern LLM frameworks, and scalable system design., Architect and deliver end-to-end LLM-powered applications and agentic workflows using Python Design and implement RAG pipelines over enterprise data using embeddings and vector databases Build multi-step, tool-using agents (planning, execution, memory) using frameworks such as LanEligible to workhain Integrate AI systems with APIs, backend services, and cloud platforms Establish evaluation, reliability, and performance strategies (accuracy, latency, cost) Key Qualifications Strong Python expertise with experience building and deploying production-grade backend systems Hands-on experience developing applications using LLMs, including prompt engineering and orchestration Proven experience with RAG architectures, embeddings, and vector databases Experience with agentic frameworks (e.g., LanEligible to workhain, LangGraph, AutoGen) Strong system design skills with experience building and scaling cloud-based applications