Key Responsibilities

Skills, Knowledge and Expertise

• Develop and deploy Generative AI applications using: • Azure OpenAI Service (GPT models, embeddings, fine-tuning) • Azure AI Foundry for managing LLM lifecycle and deployment • LangChain and LangGraph for orchestrating multi-agent and multi-step workflows • RAG pipelines using Azure AI Search and vector databases • AI agents and MCP servers for task automation and reasoning • Implement prompt engineering strategies and optimize LLM interactions. • Build APIs and microservices to integrate AI capabilities into enterprise applications. • Collaborate with architects and client teams to understand requirements and deliver solutions. • Ensure code quality, performance, and security in cloud-native environments. • Stay up to date with the latest in generative AI frameworks, tools, and best practices. Required Qualifications: • Bachelor’s degree in Computer Science, Engineering, or related field. • 3+ years of experience in software development, with a focus on AI/ML applications. • Hands-on experience with Azure OpenAI, LangChain, and LangGraph. • Solid understanding of LLM orchestration, agent frameworks, and RAG architectures. • Proficiency in Python and experience with cloud-native development. • Familiarity with Azure services such as Azure Functions, Azure AI Search, Azure Storage, and containerization (Docker/Kubernetes). ________________________________________ What We Offer: • Opportunity to build impactful generative AI solutions for enterprise clients. • Access to exclusive Microsoft partner resources and training. • A collaborative, innovative, and growth-oriented work environment. • Competitive compensation and benefits. • Career development in a rapidly evolving AI landscape.