AI Engineer C2C jobs || Santa Clara – CA (Hybrid) Local to CA

Local to CA only
Role: AI Engineer (CGEMJP00319940)
Location: Santa Clara (Hybrid)
Duration: 12+ Months

About the Role:

We are seeking a highly skilled and innovative AI Engineer to join our
team and lead the development of intelligent AI agents and RAG-based
applications. This role is ideal for someone passionate about pushing the boundaries of applied AI, with hands-on experience in building scalable, production-grade GenAI systems.

Responsibilities:

•              Demonstrate advanced programming expertise, particularly
in Python, with deep proficiency in AI-centric libraries such as
TensorFlow and PyTorch.

•              Architect and implement Retrieval-Augmented Generation
(RAG) pipelines to enhance model performance using external knowledge
sources.

•              Design, develop, and deploy AI agents capable of
autonomous decision-making and task execution using LLMs and multi-modal
models.

•              Implement and manipulate complex algorithms essential for
developing and optimizing generative AI models.

•              Manage data pipelines involving data pre-processing,
augmentation, and synthetic data generation to enhance model training
and performance.

•              Ensure robust data handling practices including cleaning,
labelling, and structuring datasets for generative AI workflows.

Required Qualifications:

•              Bachelor's or master's degree in computer science, AI/ML,
or related field.

•              3+ years of experience in AI/ML engineering, with at
least 1 year focused on Generative AI.

•          Hands-on experience with RAG architectures, including document chunking, embedding generation, and retrieval systems. • Proficiency in Python and familiarity with libraries such as Hugging Face, Transformers, OpenAI API, and PyTorch or TensorFlow. • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).

•              Strong understanding of LLM capabilities, limitations,
and prompt engineering techniques.

Preferred Qualifications:

•              Experience with fine-tuning LLMs or training custom
models.

•              Familiarity with multi-modal AI (text, image, audio).

•              Contributions to open-source GenAI projects or
publications in AI conferences.

•              Experience with CI/CD pipelines for ML model deployment.

Thanks
Yashasvi Hasija
Technical Recruiter | Empower Professionals
……………………………………………………………………………………………………………………..
Yashasvi@empowerprofessionals.com   |
LinkedIn: linkedin.com/in/yashasvi-hasija-6a745625b
100 Franklin Square Drive – Suite 104 | Somerset, NJ 08873