We are seeking a Senior Fullstack AI Engineer to design and build AI-powered solutions using LLMs, RAG, GraphRAG, and knowledge graphs. You will develop scalable backend services and APIs, implement agentic AI workflows, and integrate enterprise data platforms. The role involves close collaboration with Product Owners, architects, and business stakeholders in agile teams.
Responsibilities
Design and develop synthetic AI personas using knowledge graphs, RAG, GraphRAG, and enterprise data
Implement LLM-based features to generate insights and support decision-making
Create and optimize agentic AI workflows to automate complex tasks
Build scalable APIs, microservices, and fullstack integrations
Integrate structured and unstructured enterprise data to power AI solutions
Continuously improve the quality, accuracy, performance, and scalability of AI components
Collaborate with Product Owners, architects, technical teams, and business stakeholders in agile environments
Requirements
At least 3 years of experience as a Fullstack Software Engineer specializing in Generative AI
Practical experience building applications with LLMs, RAG, and agentic workflows
Strong Python skills and experience with APIs, microservices, and scalable backend services
Experience with AI platforms such as Azure OpenAI, OpenAI, Amazon Bedrock, Gemini, or Anthropic