AI Engineer (Remote)

Innowhyte Inc; Irvine (CA); Remote; USD 120,000 - 150,000; Full time

Job summary

A leading AI development company is seeking an AI Engineer to design and deploy large language models specializing in LLMs and generative AI solutions. The role requires proficiency in Python and various NLP frameworks, as well as experience with vector search databases and cloud platforms. Responsibilities include building RAG pipelines, optimizing models for performance, and collaborating with teams to align AI capabilities with business objectives.

Qualifications

• Proficient in using Python and various NLP frameworks.
• Experienced in transformer architectures like GPT or BERT.
• Familiar with vector search databases such as Pinecone and Weaviate.

Responsibilities

• Design and deploy large language models (LLMs).
• Build retrieval augmented generation (RAG) pipelines.
• Develop generative AI solutions for various applications.
• Optimize models for performance in production environments.

Skills

Proficiency in Python

NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow)

Strong understanding of transformer architectures

Experience with vector search databases

Excellent problem-solving skills

Analytical skills

Communication skills

Tools

Docker

Kubernetes

AWS

GCP

Azure

Job description

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation (RAG), and Generative AI. The role involves building advanced AI solutions that leverage state‑of‑the‑art technologies.

Key Responsibilities

• Design, fine‑tune, and deploy LLMs using frameworks like Hugging Face or OpenAI APIs.
• Build and implement RAG pipelines with vector databases (e.g., Pinecone, FAISS).
• Develop Generative AI solutions, including chatbots, summarization, and content creation tools.
• Preprocess, clean, and annotate datasets for training and evaluation.
• Optimize models for performance using techniques like quantization and pruning.
• Deploy scalable solutions in production using Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Monitor and troubleshoot deployed models for accuracy and reliability.
• Collaborate with cross‑functional teams to align AI capabilities with business objectives.
• Stay updated with advancements in AI/ML research and integrate best practices.

Requirements

• Proficiency in Python and NLP frameworks (Hugging Face, spaCy, PyTorch, TensorFlow).
• Strong understanding of transformer architectures and generative models like GPT or BERT.
• Experience with vector search databases (Pinecone, Weaviate, Elasticsearch).
• Familiarity with cloud‑based AI platforms and containerization tools.
• Excellent problem‑solving, analytical, and communication skills.