Job Details:Job Description:AI Engineer - Agentic AI SystemsThis 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 OnBuild 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
The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.
$133.2K - $192.8K USD
We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.
Qualifications:What We're Looking For
Background- Master's (or exceptional Bachelor's) in CS, EE, or related field
- 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
What You'll GetFast 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
Job Type: Regular
Shift:Shift 1 (United States of America)
Primary Location:San Jose, California, United States
Additional Locations: 
