Full Stack Engineer(AI)

Summary

The Full Stack AI Engineer designs and builds scalable AI solutions using LLMs, RAG architectures, and vector databases to automate enterprise workflows. The role requires expertise in Python, cloud-native development, and MLOps/LLMOps to deliver secure and compliant AI applications.

The AI Engineer will design, build, and optimize AI solutions using LLMs (OpenAI, Azure OpenAI, Google Gemini), RAG architectures, vector databases, and intelligent automation platforms. The role focuses on delivering scalable, secure, and high‑impact AI applications across enterprise workflows. Key Responsibilities Develop AI solutions with LLMs, RAG, and automation tools Implement document processing using Azure Document Intelligence and OCR Design scalable AI platforms with security, governance, and compliance Collaborate with stakeholders to drive innovation and enable adoption

Qualifications 5+ years in software/cloud/data/AI engineering, with 2+ years in AI/GenAI Hands‑on experience with OpenAI, Azure AI, Google Gemini, and vector databases Strong skills in Python, REST APIs, and cloud‑native development Familiarity with LangChain, Semantic Kernel, and MLOps/LLMOps Bachelor's degree in Computer Science, AI, Data Science, or related field

Preferred Skills AI Agents, multimodal AI, and advanced orchestration Kubernetes, Docker, and cloud‑native deployment Knowledge of Responsible AI and governance frameworks Insurance or Banking background highly preferred

See also

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