---
title: AI Engineer at IntelliPro in Palo Alto, CA
description: IntelliPro is hiring for the AI Engineer role in Palo Alto, CA. Pays $200K–$300K
  per year. Full-time role. See the full description and apply.
type: job
url: https://www.foundrole.com/jobs/ai-engineer-at-intellipro-01a15f55-7442-73d2-8aa9-29ed15cbafc8
date: 2026-11-15T01:26:44Z
og_description: Join IntelliPro as AI Engineer in Palo Alto, CA. Pays $200K–$300K per year. Full-time
  role. Requires 2+ years of experience.
og_image: https://www.foundrole.com/og/ldhkuy.png
breadcrumbs:
  - label: Home
    url: https://www.foundrole.com/
  - label: Search
    url: https://www.foundrole.com/jobs
---

| | |
|---|---|
| **Company** | IntelliPro |
| **Location** | Palo Alto, CA |
| **Salary** | $200K/yr - $300K/yr |
| **Type** | Full Time |
| **Posted** | Oct 21, 2026 |

## Is this job real?

**Ghost job check:** B · Low risk. Probably a real opening.

## Visa sponsorship

- **H-1B:** IntelliPro sponsors H-1B visas. It filed 18 H-1B petitions (FY2026 Q1 – FY2026 Q4).
- **E-Verify:** No E-Verify enrollment on record for IntelliPro.

## Pay for similar jobs

Most similar jobs pay $135,000 – $203,000 a year (median $155,000).

## 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.
## Skills

- Multi-Agent Systems
- GitHub Copilot
- Cryptocurrency
- Function Calling (Llm Tool Use)
- Open-Source Software
- Structured Output (Llm)
- Container Orchestration
- Python
- AI Evaluation
- Machine Learning Model Fine-Tuning
- Chinese
- Artificial Intelligence
- Technical Writing
- Model Evaluation (Machine Learning)
- Retrieval-Augmented Generation (Rag)
- Benchmarking
- Mathematics
- LoRA (Low-Rank Adaptation)
- Reinforcement Learning from Human Feedback (Rlhf)
- Model Context Protocol (Mcp)
- Cursor
- Agent Architecture
- Large Language Models (Llm)
- Tool Calling
- Agentic Coding Tools
- Computer Science
- Agentic Workflows
- Asynchronous Programming
- Quality Gates
- Communication
- Claude Code

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