Job Description

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.