This listing does not state pay. Across 47 open ai engineer listings that state pay, the middle half runs $148,000 to $212,000 and the median is $176,000.

Listed pay is what employers advertise, not what people are paid.

AI Engineer salaries by state · Check your own pay

How AI is used in this kind of work

Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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.