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.
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Design, develop, and maintain scalable backend services and APIs using Python.
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Build and deploy enterprise-grade AI solutions on Microsoft Azure.
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Integrate Large Language Models (LLMs) and Generative AI capabilities into production applications.
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Design and implement Retrieval-Augmented Generation (RAG) architectures.
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Develop prompt engineering strategies and optimize LLM interactions for business use cases.
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Build intelligent document processing solutions leveraging LLMs and AI services.
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Integrate capabilities such as semantic search, document understanding, speech-to-text, and AI agents.
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Collaborate with cross-functional teams to ensure seamless integration of AI services and applications.
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Monitor performance, troubleshoot production issues, and continuously improve solution reliability and scalability.
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Contribute to technical architecture decisions and challenge existing implementations to improve code quality and maintainability.
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Stay up to date with emerging trends and innovations in Generative AI, LLMs, and AI engineering.
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Strong software engineering background with extensive experience in Python.
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Experience developing backend applications, microservices, and REST APIs.
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Proven experience working with Large Language Models (LLMs) and Generative AI solutions.
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Hands-on experience with Prompt Engineering beyond basic prompt creation.
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Experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
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Knowledge of NLP concepts such as embeddings, semantic search, document understanding, and entity extraction.
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Experience deploying and managing cloud solutions on Microsoft Azure.
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Understanding of AI solution lifecycle, deployment, monitoring, and optimization.
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LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
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Intelligent Document Processing (IDP).
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OCR and document extraction technologies.
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Speech-to-Text solutions.
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AI Agents and agentic workflows.
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Node.js development experience.
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Microsoft Bot Framework.
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Docker and containerized deployments.
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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.
