Applied AI Engineer

What you’ll do: Build and maintain the AI knowledge corpus by collecting, cleaning, organizing, and updating documents and structured information while preserving sources, versions, and access permissions. Improve retrieval-augmented generation (RAG) through document processing, embeddings, search, and the quality of information returned to models. Integrate and maintain models such asQwenfor vision andGemmafor answer generation, including local deployment onApple silicon. Partner with application developers onApple Intelligenceand theFoundation Models framework. DevelopModel Context Protocol (MCP)and API integrations for customer-facing services such as flight schedules, fare search, and booking workflows, using authoritative business systems for current information. Create repeatable evaluations, investigate incorrect answers and integration failures, and improve accuracy, response time, and reliability. Document your work and build maintainable systems with appropriate security, privacy, and monitoring.

Requirements: Demonstrated ability to build working software, including an LLM application, retrieval system, AI integration, or substantial related project. Strong programming and debugging skills, especially inPython, with experience using APIs, processing data, and working withGit. Practical understanding of how language models use retrieved information and tools, including key limitations. Ability to translate an unclear business request into a manageable implementation and clearly explain technical choices. Care with source accuracy, confidential information, and testing. Independence, curiosity, and willingness to maintain and improve what you build. Tools and technologiesPython Qwen , Gemma Retrieval-augmented generation (RAG), embeddings, search, vector search, reranking Apple silicon , Apple Intelligence , Foundation Models framework Model Context Protocol (MCP), APIs, tool calling, authentication Swift, iOS/macOS, MLX Automated evaluations, document processing, and related components Compensation and benefitsSalary: USD150,000 - 175,000per year. 401(k) Dental insurance Health insurance Paid time off Vision insurance Helpful experienceQwen, Gemma, or comparable open-weight models. RAG pipelines, vector search, reranking, and automated evaluations. MCP servers, tool calling, authentication, and business-system integrations. Swift, iOS/macOS development, Apple Intelligence, Foundation Models, or MLX. Local or offline AI deployment, multilingual applications, document processing, or computer vision. Experience with airline, travel, commerce, or other operational systems. How the team worksInTecAir encourages using AI tools for development, research, documentation, and content preparation. You will use them to move faster while understanding, testing, and taking responsibility for the work and outcomes. The role includes direct ownership and access to real airline problems as part of building a growing internal AI capability.