Senior AI Engineer for Enterprise RAG

Full Stack AI Engineer – Domain RAG Chatbot
Urgent Requirement: Full Stack AI Engineer (React/Python) – Domain RAG Semantic Search Chatbot
We are urgently looking for a Senior Full Stack AI Engineer to design and deploy a domain-specific RAG semantic search chatbot plugin integrated into an enterprise data platform.
Mandatory requirements:
1. Full Stack Architecture & Chat UI/UX
• Bachelor’s degree in Computer Science, Software Engineering, or related discipline.
• At least 5 years of full-stack software development experience, including at least 2 years building and deploying production-grade AI- or LLM-based applications.
• Front-End: Strong experience building modern, responsive chat interfaces in React, JavaScript/TypeScript, CSS/SCSS, including conversational flows, interactive source citations, Markdown rendering, and user feedback capture (thumbs up/down, corrections).
• Back-End: Advanced Python development (FastAPI, Flask) and RESTful API architecture.
2. Advanced RAG, Text-to-SQL & Enterprise Security
• Hands-on mastery of Retrieval-Augmented Generation (RAG): vector databases, embeddings, chunking strategies, hybrid search, and Azure OpenAI integration.
• Experience with hybrid retrieval combining unstructured documents with structured databases: natural-language-to-SQL (text-to-SQL), function/tool calling, and schema-aware query execution.
• Strong relational database expertise: PostgreSQL, MS SQL Server, or Oracle, ensuring read-only, performant, and entitlement-aware query generation.
• Rigorous evaluation and testing of LLM applications: answer relevance, groundedness/hallucination detection, source attribution, and latency benchmarks.
• Enterprise security: SSO, Microsoft Entra ID authentication, Role-Based Access Control (RBAC), and tenant data entitlement filtering.
• Telemetry & DevOps: application telemetry, structured logging, and monitoring using Azure Application Insights or OpenTelemetry; Docker, Kubernetes, CI/CD, and Azure deployment.
• Exposure to Oil & Gas subsurface/well data and extensible/plugin-based enterprise platforms is a strong plus.
• Professional English communication skills (mandatory); Portuguese fluency is a plus.
• Availability for an online technical interview in English.
• Availability to join the project if the contract is awarded.
Interested candidates should submit:
• Updated CV in English;
• Availability;
• Expected daily or monthly rate;
• Location and time zone;
• Portfolio or GitHub links showcasing deployed RAG chatbots or LLM applications.