AI Engineer

Position: AI Engineer

Location: Santa Clara CA***Day 1 Onsite***

Duration: 1 Years

AI Engineer all profile rejected need more

With good experience in LLL

PhD on ML Data science and LLM

Mandatory Areas

Must Have Skills

Skill 1 Demonstrate advanced programming expertise particularly in Python with deep proficiency in AI-centric libraries such as TensorFlow and PyTorch.

Skill 2 Design develop and deploy AI agents capable of autonomous decision-making and task execution using LLMs and multi-modal models

Skill 3 Hands-on experience with RAG architectures including document chunking embedding generation and retrieval systems

Good To have Skills

Skill 1 Familiarity with multi-modal AI (text image audio)..

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.

Key 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 labeling and structuring datasets for generative AI workflows.

Required Qualifications:

* Bachelors or masters 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.