AI Engineer M F D

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.
  
  

• 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.
• Preferred Qualifications
• Experience with Azure AI Services, Azure OpenAI, or cloud-native AI architectures.
• Experience with vector databases and semantic search technologies.
• Understanding of AI governance, security, and responsible AI principles.
• Experience deploying AI workloads in production environments.
• Knowledge of containerization technologies such as Docker and Kubernetes.
• Experience designing multi-agent or agentic AI workflows.