AI Engineer

We are seeking an experienced Senior AI Engineer to design, develop, and deploy enterprise-grade AI solutions across complex and large-scale business environments. The ideal candidate will have a strong software engineering background combined with deep expertise in modern AI technologies, Retrieval-Augmented Generation (RAG), LLM integrations, and enterprise system connectivity. This role requires someone who has successfully delivered AI-enabled products within complex organizations, integrating multiple business systems, cloud services, and data platforms while maintaining scalability, security, and performance. Key Responsibilities - Design and develop AI-powered applications using modern LLM frameworks and OpenAI technologies. - Build and optimize Retrieval-Augmented Generation (RAG) solutions leveraging structured and unstructured enterprise data. - Develop scalable backend services using Java Spring Boot and Python. - Integrate OpenAI SDKs and AI services into enterprise applications. - Implement observability, tracing, evaluation, and monitoring using Langfuse. - Build and maintain APIs and microservices supporting AI workloads. - Design and optimize data models within PostgreSQL (PGSQL) environments. - Develop frontend and mobile experiences using React Native. - Integrate Microsoft ecosystem services including Microsoft Graph API, WorkIQ, and other Microsoft platform capabilities. - Deliver integrations with enterprise platforms including ERP systems such as SAP, Oracle, Microsoft Dynamics, or similar solutions. - Collaborate with Product Owners, Architects, Security teams, and business stakeholders to define AI use cases and technical solutions. - Ensure AI solutions meet enterprise requirements for scalability, security, governance, and reliability. Required Skills & Experience - Minimum 5 years of software engineering experience with proven delivery of enterprise-scale applications. - Demonstrated experience working on large-scale, complex projects involving multiple integrations, stakeholders, and high-volume workloads. - Strong hands-on experience with Python development. - Strong experience with Java Spring Boot and microservices architecture. - Practical experience with OpenAI APIs and SDKs. - Experience designing and implementing RAG architectures. - Hands-on experience with Langfuse or similar LLM observability and monitoring platforms. - Strong knowledge of PostgreSQL (PGSQL). - Experience building applications using React Native. - Experience integrating with Microsoft Graph API and Microsoft productivity ecosystem services. - Experience integrating enterprise systems and ERP platforms. - Strong understanding of RESTful APIs, authentication, security, and application scalability. - Experience working within Agile delivery environments. - Excellent problem-solving, communication, and stakeholder management skills.