AI Platform Engineer II

• Design, develop, and maintain AI platforms, backend services, and AI-powered applications
• Build and enhance LLM gateways, retrieval-augmented generation (RAG) solutions, or other AI-driven systems
• Develop APIs, automation, and data integration services to support scalable AI platforms
• Integrate AI solutions with enterprise applications and data sources
• Implement secure, reliable, and observable AI systems through logging, monitoring, and governance practices
• Build and deploy applications using modern DevOps practices, CI/CD pipelines, Docker, and Kubernetes
• Collaborate with product owners, business stakeholders, and engineering teams to translate requirements into technical solutions
• Participate in Agile/Scrum development processes
• Mentor junior engineers through technical guidance, code reviews, and knowledge sharing
• Continuously evaluate new technologies and contribute to the evolution of AI engineering best practices

The ideal candidate has a strong foundation in either AI platform engineering or AI application development, enjoys solving complex technical challenges, and is passionate about building secure, scalable, and production-ready AI solutions. This role includes ownership of technical deliverables, collaboration across engineering and business teams, and mentoring junior engineers., * Bachelor's degree in Computer Science, Software Engineering, Cloud Engineering, Infrastructure Engineering, or a related field, or equivalent professional experience

• 5+ years of experience in software engineering, cloud engineering, infrastructure engineering, or a related technical discipline
• Strong experience in either AI infrastructure engineering or AI application development
• Experience developing backend applications, APIs, or AI-powered applications
• Hands-on experience with one or more modern programming languages such as Python, Java, or TypeScript
• Experience working with cloud platforms or modern AI development frameworks
• Strong understanding of API development, system integration, and scalable application design
• Experience working within Agile development environments
• Excellent analytical, communication, and collaboration skills
• Ability to independently own features from design through deployment, * Experience with retrieval-augmented generation (RAG), vector databases, embedding models, or LLM-based applications
• Familiarity with AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar technologies
• Experience with Docker, Kubernetes, and CI/CD pipelines
• Knowledge of enterprise security, governance, and compliance practices
• Experience with monitoring and observability platforms
• Experience building production AI assistants, chatbots, or intelligent automation solutions
• Previous experience mentoring junior engineers or reviewing technical work