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DysrupIT

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2016

🏢 Enterprise

☁️ SaaS

🔒 Cybersecurity

Enterprise • SaaS • Cybersecurity

DysrupIT is a global cloud services and IT solutions firm that helps organizations adopt cloud technologies and transition to as-a-Service business models. The company provides enterprise cloud, managed services, application engineering, cybersecurity, and data analytics & information management, serving SMBs through multinational enterprises with Microsoft and other cloud platforms. DysrupIT also emphasizes community impact, talent development, and long-term partnerships to deliver secure, scalable, and business-aligned technology outcomes.

📋 Description

• Design and develop cloud-native AI solutions using Azure Functions, Azure AI Search, and Microsoft Azure AI Foundry. • Build and integrate large language model (LLM) pipelines, RAG architectures, and agentic workflows into enterprise applications • Develop serverless microservices and event-driven architectures on the Azure platform • Implement and optimize AI Search indexes, semantic ranking, and hybrid retrieval strategies • Collaborate with stakeholders to translate business requirements into robust AI-powered features • Ensure solutions meet performance, security, and compliance standards through testing, monitoring, and iterative improvement • Mentor junior developers and contribute to internal best practices around AI engineering

🎯 Requirements

• 3+ years in software or AI/ML development • Hands-on experience with Azure Functions(consumption or premium plans, durable functions a plus) • Practical knowledge of Azure AI Search — index design, skillsets, semantic search, and vector search • Experience working within Microsoft Azure AI Foundry (prompt flows, model deployments, evaluations) • Proficiency in Python and/or C# • Solid understanding of REST API design and integration patterns • Familiarity with LLMs, embeddings, and retrieval-augmented generation (RAG) • Experience with Azure DevOps or CI/CD pipelines for AI workloads • NICE TO HAVE: Experience with Azure OpenAI Service and prompt engineering • Knowledge of LangChain, Semantic Kernel, or similar AI orchestration frameworks • Familiarity with Azure Container Apps or Kubernetes (AKS) • Exposure to responsible AI principles and content safety tooling • Experience with vector databases (e.g., Qdrant, Weaviate, Pinecone) • Microsoft Azure AI/Data certifications (e.g., AI-102, DP-100)

🏖️ Benefits

• Government-mandated benefits plus supplemental HMO coverage • Collaborative and professional work environment. • Career growth opportunities within a growing finance organization. • Hybrid/Remote work arrangement (where applicable).