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.