Backend AI engineer

Description

**About the Role** ------------------ We are looking for a **Senior AI Engineer** to join a growing team focused on building and deploying cutting\-edge AI solutions in production environments. This role combines **software engineering, cloud development, and Generative AI**, requiring a hands\-on professional capable of designing, developing, deploying, and maintaining end\-to\-end AI\-powered applications. You will work closely with AI Engineers, Data Scientists, and Front\-End Developers to build scalable and reliable solutions leveraging Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), and cloud\-native Azure services. **Key Responsibilities** ------------------------ * Design, develop, and maintain scalable backend services and APIs using Python. * Build and deploy enterprise\-grade AI solutions on Microsoft Azure. * Integrate Large Language Models (LLMs) and Generative AI capabilities into production applications. * Design and implement Retrieval\-Augmented Generation (RAG) architectures. * Develop prompt engineering strategies and optimize LLM interactions for business use cases. * Build intelligent document processing solutions leveraging LLMs and AI services. * Integrate capabilities such as semantic search, document understanding, speech\-to\-text, and AI agents. * Collaborate with cross\-functional teams to ensure seamless integration of AI services and applications. * Monitor performance, troubleshoot production issues, and continuously improve solution reliability and scalability. * Contribute to technical architecture decisions and challenge existing implementations to improve code quality and maintainability. * Stay up to date with emerging trends and innovations in Generative AI, LLMs, and AI engineering. **Required Experience \& Skills** --------------------------------- ### **Technical Skills** * Strong software engineering background with extensive experience in Python. * Experience developing backend applications, microservices, and REST APIs. * Proven experience working with Large Language Models (LLMs) and Generative AI solutions. * Hands\-on experience with Prompt Engineering beyond basic prompt creation. * Experience designing and implementing Retrieval\-Augmented Generation (RAG) solutions. * Knowledge of NLP concepts such as embeddings, semantic search, document understanding, and entity extraction. * Experience deploying and managing cloud solutions on Microsoft Azure. * Understanding of AI solution lifecycle, deployment, monitoring, and optimization. **Nice to Have** ---------------- * LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks. * Intelligent Document Processing (IDP). * OCR and document extraction technologies. * Speech\-to\-Text solutions. * AI Agents and agentic workflows. * Node.js development experience. * Microsoft Bot Framework. * Docker and containerized deployments. * CI/CD and DevOps practices. Interested in learning more? We'd love to hear from you. Reach out and let's schedule a conversation to discuss the opportunity.