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