AI Engineer

Job Details:

Job Description:

AI Engineer – Agentic AI Systems (High-Potential Early Career)

Location: Shanghai, China
Company:Altera

Why This Role Matters

AI is shifting from models toautonomous systems. AtAltera, we are buildingagentic AI platforms tightly coupled with FPGA acceleration, enabling intelligent systems that canreason, act, and scale in real-world environments.

This role is designed forhigh-potential engineers early in their careers who want to:

• work oncutting-edge AI (LLMs + agents + RAG)

• gain exposure tohardware-software co-design

• and grow quickly intotechnical leaders in AI systems

What You’ll Work On

Build Real Agentic AI Systems:

• DevelopLLM-powered agents that use tools, APIs, and data to complete complex tasks

• ImplementRAG pipelines for large-scale knowledge integration

• Ship end-to-end systems fromdata ingestion → reasoning → action

Go Beyond “Model Usage”

• Designmulti-step reasoning workflows, not just prompt calls

• Evaluate and improve model behavior (accuracy, latency, cost)

• Work with bothopen-source and frontier models

AI Meets Hardware (Differentiator)

• Collaborate with FPGA/ASIC teams onhardware-aware AI design

• Learn how AI systems are optimized acrossCPU / GPU / FPGA

• Exploreefficient inference and system-level performance tradeoffs

Build Platforms, Not Just Features

• Develop reusable components for:

  • memory and context management

  • tool integration

  • knowledge retrieval

• Contribute to internal AI platforms used across teams

What You’ll Get

Fast Growth

• Work directly withsenior architects and domain experts

• Clear path towardSenior Engineer → Architect roles

High Learning Density

• Exposure to both:

  • modern AI systems (LLMs, agents)

  • hardware acceleration (FPGA/ASIC)

Real Ownership

• Build production systems—not demos

• Your work will be used inreal engineering workflows

Unique Positioning

• Few roles combine:

  • Agentic AI systems

  • EDA / semiconductor domain

  • hardware-aware AI optimization

Qualifications:

What We’re Looking For

Background

• Master’s (or exceptional Bachelor’s) in CS, EE, or related field

• 1–3 years experience (internships, research, or industry)

Technical Strength

• Strong coding skills inPython (C++ is a plus)

• Hands-on experience building:

  • AI/ML projects, OR

  • backend / distributed systems

• Solid fundamentals in:

  • data structures

  • system design basics

Signal of Excellence (What Sets You Apart)

• You’ve built something non-trivial:

  • AI project, open-source contribution, or research prototype

• You learn new frameworks quickly andship working systems

• You’re curious abouthow systems work end-to-end, not just models

Bonus Points

• Experience with:

  • LangChain, LlamaIndex, or similar

  • vector databases (FAISS, Milvus, etc.)

• Exposure to:

  • RAG, prompt engineering, or agent workflows

  • hardware acceleration or performance optimization

Job Type:

Shift:

Primary Location:

Additional Locations:

Posting Statement: