AI Developer
Rand Technology LLC•Irvine, CA
•Hybrid
About The Position
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.
Requirements
- 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
- 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
Nice To Haves
- 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
Responsibilities
- 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
- 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
- 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
- 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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
