6+ years of Software Engineering or ML/LLM Engineering experience with at least 3+ years focused on Artificial Intelligence and Generative AI solutions (Open AI preferred).
• Strong hands-on development experience with Python and building production-grade backend services.
• Experience designing and implementing Large Language Model (LLM) applications utilizing platforms such as OpenAI, Anthropic Claude, Gemini, or Llama.
• Proven experience building RAG (Retrieval Augmented Generation) architectures and integrating vector databases.
• Deep understanding of LangChain, AI orchestration frameworks, and agent-based architectures.
• Experience building and consuming REST APIs, microservices, and event-driven integrations.
• Strong knowledge of AI solution architecture, prompt engineering, model evaluation, and AI governance best practices.
• Experience integrating AI capabilities into enterprise applications and workflows.
• Hands-on experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Experience designing scalable, secure, and maintainable enterprise applications.
• Ability to communicate architecture decisions and AI strategies to both technical and business stakeholders.