AI Engineer
Altera- Location
- Shanghai, China
- Workplace
- —
- Employment
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- Salary
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Posted 8d ago
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 to autonomous systems. At Altera, we are building agentic AI platforms tightly coupled with FPGA acceleration, enabling intelligent systems that can reason, act, and scale in real-world environments.
This role is designed for high-potential engineers early in their careers who want to:
- work on cutting-edge AI (LLMs + agents + RAG)
- gain exposure to hardware-software co-design
- and grow quickly into technical leaders in AI systems
What You’ll Work On
Build Real Agentic AI Systems
- Develop LLM-powered agents that use tools, APIs, and data to complete complex tasks
- Implement RAG pipelines for large-scale knowledge integration
- Ship end-to-end systems from data ingestion → reasoning → action
Go Beyond “Model Usage”
- Design multi-step reasoning workflows, not just prompt calls
- Evaluate and improve model behavior (accuracy, latency, cost)
- Work with both open-source and frontier models
AI Meets Hardware (Differentiator)
- Collaborate with FPGA/ASIC teams on hardware-aware AI design
- Learn how AI systems are optimized across CPU / GPU / FPGA
- Explore efficient 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 with senior architects and domain experts
- Clear path toward Senior 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 in real 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 in Python (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 and ship working systems
- You’re curious about how 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
Regular
Shift
Shift 1 (China)
Primary Location
Shanghai, China
Additional Locations
Posting Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Skills
- LLM
- Retrieval-Augmented Generation
- Python
- C++
- LangChain
- LlamaIndex
- Vector Databases
- FAISS
- Milvus
- Prompt Engineering
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