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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Developer - **Company:** Rand Technology, LLC - **Location:** Irvine, CA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Business Systems, Databases, Github, Python (Programming Language), Machine Learning, NumPy, Performance Tuning, Software Product Management, Software Deployment, SQL Databases, Cloud Platform System, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Git, Pandas, Build Management, Information Technology, Data Analytics, Machine Learning Operations, Virtual Agents, Automation Anywhere, Databricks - **Published:** July 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=15a715827e48b85e ## About the Role Core Competencies: * Fast, self-directed learner you don't wait to be taught, you figure it out * Strong business acumen - you connect AI capabilities to business outcomes * Clear communicator with both technical teams and business stakeholders * Adaptable and comfortable with ambiguity in a fast-moving technology environment * Detail-oriented with a bias toward working solutions over perfect theory Education and Experience * Bachelor's degree in Computer Science, Data Science, AI, Mathematics, or related field * Equivalent practical experience with a strong portfolio considered * 2-4 years of hands-on industry experience in AI development or a closely related field * Demonstrated track record of building and shipping AI/ML solutions in a production environment * Portfolio or GitHub showing real-world GenAI or agentic AI projects (required) * Strong Python development skills - this is your primary tool * Hands-on experience with GenAI fundamentals: LLMs, embeddings, fine-tuning, prompt engineering, RAG * Hands-on exposure to multiple GenAI tools and frameworks - LangChain, Azure AI, OpenAI, AWS Bedrock, and beyond * Working knowledge of agentic AI architecture: agents, tools, memory, orchestration, multi-agent systems * Solid data analytics skills - Pandas, NumPy, SQL, and the ability to interpret and act on data * Experience deploying models to cloud environments (Azure, AWS, or GCP) * Git version control and collaborative development practices, * Experience with MLOps practices and AI model lifecycle management * Familiarity with NLP, computer vision, or multimodal AI applications * Relevant certifications such as Microsoft Azure AI Engineer Associate (AI-102), AWS Certified Machine Learning - Specialty, Google Professional ML Engineer, or DeepLearning.AI generative AI specializations are a plus * Experience in technology, supply chain distribution, or B2B industry environments * Familiarity with Agile/Scrum development methodologies is a plus ## Description In this hands-on AI Developer role, you will support the design, build, and deployment of generative AI and agentic solutions that drive real business impact. This position will collaborate with external development partners on key AI product builds and take full ownership of those products post go-live, driving ongoing maintenance, optimization, and continuous improvement. You will work directly with business stakeholders to turn complex problems into production-grade AI applications, and you thrive in a fast-moving environment where you learn independently and stay ahead of the pace of change in the AI landscape., GenAI & Agentic AI Development * Design and build production-ready generative AI applications using LLMs, RAG pipelines, and prompt engineering * Develop agentic AI systems using multi-agent frameworks (LangChain, LangGraph, AutoGen, CrewAI, or similar) * Implement and optimize AI workflows including tool use, memory, orchestration, and autonomous decision loops * Evaluate and select the right GenAI tools and frameworks for each use case Data & Analytics * Build and maintain data pipelines that feed AI applications with clean, reliable data * Apply data analytics to validate model performance and surface actionable business insights * Work with structured and unstructured data sources, APIs, and databases Integration & Deployment * Deploy AI models and agents to production environments on Azure AI (including Azure OpenAI Service) and Databricks, using LangChain-based orchestration frameworks * Integrate AI solutions into existing business systems and workflows * Monitor live AI systems, troubleshoot issues, and drive continuous performance improvements * Partner with external development teams during the build phase of key AI products, ensuring knowledge transfer and readiness to own the solution at launch * Serve as the primary owner for deployed AI products post go-live, managing maintenance, enhancements, and issue resolution Business Collaboration * Partner with stakeholders to translate business pain points into concrete AI solutions * Communicate technical work clearly to both technical and non-technical audiences * Identify high-value AI opportunities across business functions and contribute to AI roadmap Continuous Learning & Innovation * Stay ahead of rapidly evolving GenAI and agentic AI technologies - proactively, not reactively * Experiment with emerging tools and bring new ideas to the team * Share knowledge, document approaches, and raise the team's collective capability Work Environment: * Hybrid work options available * Professional office setting - Irvine, CA * Collaborative, cross-functional team with a fast-paced, technology-driven culture * Minimal travel required (less than 10%) ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Vectorize all the things! Using linear algebra and NumPy to make your Python code lightning fast.](https://www.wearedevelopers.com/videos/562-vectorize-all-the-things-using-linear-algebra-and-numpy-to-make-your-python-code-lightning-fast) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)