**Job Requirements
POSITION: AI Engineer
Who We Are:**
Quest Global delivers world-class end-to-end engineering solutions by leveraging our deep industry knowledge and digital expertise. By bringing together technologies and industries, alongside the contributions of diverse individuals and their areas of expertise, we are able to solve problems better, faster. This multi-dimensional approach enables us to solve the most critical and large-scale challenges across the aerospace & defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor industries.
We are looking for humble geniuses, who believe that engineering has the potential to make the impossible possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers. As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you. The achievers and courageous challenge-crushers we seek, have the following characteristics and skills
**What you will do:
Key Responsibilities**
- Prompt Engineering: Designing and optimizing prompts to guide LLMs (e.g., GPT-4, Claude) for specific tasks and improved accuracy.
- Model Development & Implementation: Designing, implementing, and fine-tuning generative models using frameworks like PyTorch or TensorFlow.
- Building RAG Pipelines: Creating retrieval-augmented generation pipelines to connect LLMs to internal data sources for more accurate, context-aware outputs.
- Data Processing & Engineering: Preparing datasets for training, including data cleaning, labeling, and embedding generation for vector databases.
- API Integration: Integrating third-party APIs (OpenAI, AWS Bedrock, Anthropic) into applications to leverage pre-trained models.
- Deployment & MLOps: Deploying models using Containerization (Docker, etc.)
**Work Experience
Minimum Qualifications**
- Programming Proficiency: Expert-level skills in Python are required, with additional experience in SQL preferred.
- Generative AI & LLMs: Good understanding of transformer models (BERT, GPT), diffusion models, and frameworks like LangChain, Hugging Face, and LlamaIndex.
- Master in AI
- Experience in Claude and Prompt Engineering.
Pay Range: $100,000-$110,000
Compensation decisions are made based on factors including experience, skills, education, and other job-related factors, in accordance with our internal pay structure. We also offer a comprehensive benefits package, including health insurance, paid time off, and retirement plan.
Work Requirements:
This role is considered an on-site position located in Sunnyvale, CA
You must be able to commute to and from the location with your own transportation arrangements to meet the required working hours.