APN Job ID# 175544 About the Role We are hiring an AI Engineer to build production AI coding tools and internal AI products. This is a hands-on engineering role focused on shipping real AI-powered systems — not research. You will design and build LLM-powered applications end to end and help spread strong AI engineering practices across the organization. Responsibilities Design, build, and ship production LLM-powered products and internal AI tools Design and deploy multi-agent systems and agentic workflows in production Build tool-calling and function-calling workflows, API orchestration, and structured output pipelines Evaluate and select models (frontier and open-source) based on task performance and cost tradeoffs Build evaluation frameworks, benchmarking, and quality gates for AI systems in production Develop scalable, maintainable AI application backends in Python Partner with product, security, and engineering teams to identify and deliver high-impact AI opportunities Requirements Bachelor's degree or above in Computer Science, Mathematics, AI, or a related engineering field Recent core engineering experience at a leading AI company or large technology company 2+ years of hands-on experience building and shipping LLM-powered products in production Experience designing and deploying multi-agent systems and agent architectures (e.g., ReAct, Plan-and-Execute) in production Deep experience with tool-use patterns, API orchestration, and structured LLM outputs Experience with systematic model evaluation and selection (frontier and open-source models) Experience building or operating AI evaluation and benchmarking frameworks Proficiency with AI coding tools (e.g., Claude Code, Cursor, Copilot) as part of your daily engineering workflow Strong Python engineering skills — building production backends, not just prototypes Ability to independently scope, build, and ship AI-powered systems end to end Based in the US, with the ability to collaborate effectively across time zones (including APAC) through async communication Chinese language skills are a plus Preferred Qualifications Experience applying AI to security, fintech, or crypto domain problems Fine-tuning experience (LoRA/QLoRA, RLHF, domain-specific model adaptation) Production RAG pipeline experience (retrieval optimization, chunking strategies, evaluation) Experience building Skills / MCP servers Published work, open-source AI projects, or public technical writing on LLM engineering Compensation Base salary:

USD 200,000-300,000

per year (negotiable). About IntelliPro IntelliPro Group Inc. is a global staffing and talent solutions company. We connect exceptional professionals with leading organizations across technology, engineering, and professional services. By partnering closely with both clients and candidates, we build long-term relationships that help businesses grow and careers thrive.