Gen AI Developer (Azure Platform)

• • Job Description – Generative AI Developer (Azure Platform) • • • • Location: • • Hybrid - Silicon valley, CA. • • Experience: • • Min 8+ years • • Employment Type: • • Contract - C2C/W2 • • About the Role • • We are seeking • • two highly skilled Generative AI Developers • • to design, build, and integrate next-generation • • AI-driven applications • • on the • • Microsoft Azure ecosystem • • . The ideal candidates will have hands-on experience in developing • • RAG (Retrieval-Augmented Generation) • • and • • GraphRAG • • solutions, implementing • • Azure OpenAI models • • , and orchestrating multi-agent AI workflows using Azure Services. This role requires a deep understanding of • • Python-based AI development • • , • • REST APIs • • , • • Azure AI Services • • , and • • vector database integration • • to deliver scalable, secure, and production-grade AI systems. • • Key Responsibilities • • • Design, implement, and fine-tune • • Azure OpenAI • • models for enterprise use cases. • Build • • RAG pipelines • • leveraging • • Azure AI Search • • , • • embeddings • • , and • • vector databases • • . • Develop and deploy • • GraphRAG solutions • • to handle complex relationships and contextual retrieval using: • • • Cosmos DB (Gremlin API) • • • • • Graph-based retrieval • • for semantic and relational intelligence • Integration of • • semantic + graph queries • • for improved contextual understanding. • Build • • multi-agent AI workflows • • using Azure Functions, Logic Apps, and other Azure AI components. • Ensure • • Responsible AI, data privacy, and compliance • • throughout the development lifecycle. • Integrate and deploy solutions using • • AKS (Azure Kubernetes Service) • • or • • Azure App Service • • . • Implement • • CI/CD pipelines • • and automation via • • Azure DevOps • • for seamless delivery. • • Required Skills & Experience • • • • • 8+ years • • of overall development experience with strong • • Python • • programming expertise. • Proven experience building and deploying • • Generative AI • • solutions using • • Azure AI Services • • . • Strong understanding of • • RESTful APIs • • , • • embeddings • • , and • • vector databases • • (Pinecone, Weaviate, FAISS, or similar). • Hands-on experience with • • Azure OpenAI • • , • • Azure AI Search • • , • • Cosmos DB (Gremlin API) • • , and • • GraphRAG • • design patterns. • Proficiency in • • Azure DevOps • • , • • CI/CD • • , and • • containerized deployments • • (AKS / Docker). • Strong knowledge of • • cloud security, Responsible AI practices, and data governance • • . • • Nice to Have • • • Experience in • • LangChain, Semantic Kernel • • , or • • prompt orchestration frameworks • • . • Knowledge of • • multi-modal AI • • , • • LLM fine-tuning • • , and • • custom embeddings • • . • Familiarity with • • MLOps • • and • • model observability • • on Azure.