This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
This role is ideal for an AI professional who thrives in designing LLM-driven pipelines, orchestrating multi-agent architectures, and optimizing models for deployment on enterprise platforms. You will work with cross-functional teams to automate business processes and deliver insights at scale.
Job Responsibility:
Architect and implement Retrieval-Augmented Generation (RAG) pipelines using tools like LangChain, LlamaIndex, and Azure AI Search
Design and coordinate agent-based LLM systems using frameworks like AutoGen, TaskWeaver, and CrewAI for complex document analysis and process automation
Integrate Azure Cognitive Services (OCR, layout analysis, document intelligence) for structured data extraction and real-time insight generation
Develop secure and scalable FastAPI backends, containerized via Docker and orchestrated on Azure Kubernetes Service (AKS)
Collaborate with business experts to fine-tune prompts, build chatbots with contextual memory, and deploy solutions that meet compliance and audit standards
Build low-code applications using Power Apps and Power Automate to streamline enterprise workflows like workforce planning and financial tracking
Monitor model performance using Azure Application Insights, iterate on user feedback, and maintain operational excellence with CI/CD pipelines
Contribute to AI research and publications and stay updated with the latest trends in ethical AI and edge deployment strategies
Requirements:
2–4 years of experience in Data Science, AI/ML, and Deep Learning, preferably in enterprise settings
Strong experience with Python, TensorFlow/Keras, Scikit-learn, and NLP frameworks such as SpaCy, HuggingFace, and NLTK
Proven expertise in Generative AI systems, including RAG architecture, vector-based search, and prompt engineering
Solid hands-on experience with Azure Cloud Platform, including services like Azure OpenAI, Cosmos DB, Key Vault, Blob Storage, Function Apps, etc.
Proficiency with FastAPI, Flask, and RESTful API design
Experience deploying models and services using Docker, Kubernetes, and Azure DevOps
Familiarity with Power Platform (Power BI, Power Apps, Power Automate) and SharePoint integration
Nice to have:
Microsoft certifications such as Azure AI Engineer Associate (AI-102)
Experience in developing enterprise tools for due diligence, finance, or workforce planning
Exposure to edge computing and model optimization for constrained environments
Demonstrated research output through peer-reviewed publications
Welcome to CrawlJobs.com – Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.