Required Skills
Proficiency in Python (FastAPI / Flask) and JavaScript/TypeScript (React, Next.js, Node.js)
Hands-on experience building or integrating AI Agents with frameworks like LangChain, LangGraph, AutoGen, or CrewAI
Experience calling and fine-tuning LLM APIs — OpenAI, Azure OpenAI, Anthropic, or Gemini
Solid understanding of RAG pipelines, vector embeddings, and semantic search
Proficiency with containerization (Docker) and cloud deployment (Azure or AWS)
Experience with relational and NoSQL databases (PostgreSQL, MongoDB, Redis)
Familiarity with REST API design and integration patterns
Comfort using AI-assisted development tools (Copilot, Cursor, Claude Code) as day-to-day workflow
Nice to Have
Experience with Azure AI Foundry, Azure Machine Learning, or AWS Bedrock
Knowledge of MLOps practices and model monitoring
Exposure to multi-modal AI applications (vision, speech, document intelligence)
Understanding of prompt engineering strategies, chain-of-thought, and function calling
Contributions to open-source AI/agent projects
Disclaimer
Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, color, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners, and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence, and other terms, conditions, and benefits of employment.
