AI Engineer

Sunnyvale, CA (2-3 Days On-Site)

Our client is a rapidly growing venture-backed software company pioneering AI innovation for next-generation technology. Their team is dedicated to transforming traditional hardware into intelligent, software-defined platforms deployed at a global scale.

About the Role

As an AI Engineer, you will work on breakthrough AI products that redefine how devices interact with software - building, iterating, and deploying solutions that reach millions of users. Embedded in a nimble, high-impact engineering team, you will help drive AI initiatives from proof-of-concept to production, collaborating directly with technical leadership and shaping the trajectory of AI.

Responsibilities

Research, develop, and deploy innovative AI/ML models for next-generation in-device experiences and edge computing.
Architect, fine-tune, and optimize large language models (LLMs), agentic frameworks, and retrieval-augmented generation (RAG) systems for real-world deployment.
Deliver production-ready code in Python, leveraging frameworks such as TensorFlow and PyTorch.
Collaborate closely with the CTO and technical team on greenfield projects - from ideation through scalable implementation.
Benchmark, evaluate, and iterate on models for performance, efficiency, and reliability in constrained hardware environments.
Work hands-on across the ML lifecycle, including MLOps, IoT/embedded integration, and inference optimization.
Remain up to date on the latest research and technologies to rapidly prototype and validate new concepts.

Qualifications

Degree in Mathematics, Physics, Computer Science, or Data Science from a top-tier university.
6+ years of progressive experience in AI/ML, with a successful track record shipping production AI systems.
Expert-level Python programming skills.
Hands-on experience with TensorFlow or PyTorch.
Strong foundation in LLM fine-tuning, RAG systems, and agentic frameworks.
Background in traditional machine learning or data science.
Experience in startup environments or companies where AI/ML is a core mission.
Familiarity with compiler technologies (e.g., ONNX, TensorFlow Lite), optimization techniques, and embedded system architectures.
Willingness to work 2–3 days per week onsite in the Bay Area.

Preferred Skills

Experience leading the development of visionary AI/ML proof-of-concept projects.
Demonstrated ability to wear multiple hats (coding, MLOps, LLM benchmarking).
Prior exposure to IoT or related industry.

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