Our Customer: A global enterprise organization building modern data, analytics, and AI solutions within a Microsoft-first ecosystem. The company focuses on scalable and secure enterprise platforms that support business intelligence and digital transformation. Your Tasks: * Analyze business needs and identify opportunities where AI technologies can create measurable business value * Translate business challenges into practical AI-driven solutions with clear business outcomes * Rapidly prototype, validate, and evolve AI solutions from proof-of-concept to production-ready systems * Build knowledge-driven applications, intelligent assistants, and automated AI workflows * Design and implement retrieval-based solutions, AI-powered services, and agent-oriented architectures * Create scalable backend services and integrations supporting AI capabilities * Establish evaluation, monitoring, governance, and quality-control processes for AI solutions * Prepare technical documentation, architecture diagrams, and implementation guidelines * Collaborate with engineering, product, and quality assurance teams throughout the delivery lifecycle * Deploy, maintain, and optimize AI workloads within Azure environments * Monitor solution quality, performance, scalability, and operational costs * Take ownership of technical deliverables while contributing effectively within cross-functional teams
Required Experience and Skills: * 4+ years of experience in Software Engineering, Data Engineering, Machine Learning, or AI-related roles * 2+ years of hands-on experience building and deploying LLM-powered applications in production environments * Strong Python development skills with experience delivering production-grade software * Experience working with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, or similar technologies * Practical experience developing intelligent agents, autonomous workflows, or agent-based AI systems * Strong understanding of retrieval-based architectures, embeddings, vector search, and information retrieval concepts * Experience working with vector databases and semantic search technologies such as Azure AI Search, Pinecone, Weaviate, or pgvector * Knowledge of prompt engineering techniques and structured output generation * Experience implementing AI evaluation, observability, monitoring, and quality-assessment processes * Understanding of multi-agent architectures and orchestration patterns * Hands-on experience with Azure-based AI services and application deployment * Experience building APIs, microservices, and distributed applications * Familiarity with CI/CD practices, Git-based workflows, and Agile delivery methodologies * Knowledge of application security, API security, and data protection principles * Ability to integrate AI capabilities into web-based applications and user-facing systems * Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field * Excellent written and verbal communication skills in English
Would be a Plus: * Experience with Azure AI Foundry, Azure OpenAI, Databricks, or similar enterprise AI platforms * Experience working within regulated industries and compliance-driven environments * Knowledge of AI governance, validation frameworks, and compliance practices * Experience with model customization, fine-tuning, distillation, or optimization techniques * Contributions to open-source AI, Machine Learning, or LLM-related projects * Familiarity with React, Streamlit, or similar UI technologies
