AI Solutions Engineer
ascendion
Job Description
- Design, build, and deploy enterprise-scale AI applications using Python, .NET, C#, REST APIs, and Microservices.
- Develop Generative AI, LLM, RAG, and Agentic AI solutions, including prompt engineering, tool/function calling, workflow orchestration, memory management, and multi-agent architectures.
- Build and optimize retrieval pipelines encompassing document ingestion, chunking, embeddings, vector databases, semantic/hybrid search, reranking, and grounded response generation.
- Leverage Azure OpenAI, Azure AI Search, Azure AI Foundry, Azure AI Services, Azure Functions, and Azure App Services to deliver scalable cloud-native AI solutions.
- Integrate AI capabilities with enterprise applications, APIs, databases, data platforms, and business workflows.
- Design secure, resilient, and observable architectures utilizing CI/CD, automated testing, monitoring, logging, and performance optimization.
- Troubleshoot and optimize AI applications across prompts, LLMs, retrieval systems, agents, APIs, backend services, and cloud infrastructure.
- Implement Responsible AI, security, governance, and engineering best practices throughout the AI solution lifecycle.