Job Title: AI Engineer
Looking for locally based candidates in the Bay Area - no relocators
About Us:
Our client is pushing the boundaries of AI-driven solutions to deliver innovative products that empower our clients. We are currently seeking a highly skilled AI Engineer on a contract basis to assist in the development of cutting-edge AI models and technologies.
Role Overview:
We are looking for an experienced AI Engineer with a deep understanding of both traditional and modern AI methodologies. The successful candidate will work on various AI/ML projects, including the development of language models, natural language processing (NLP) systems, generative AI, retrieval-augmented generation (RAG), and more. You will be expected to design, build, and configure models with a focus on performance metrics like precision and recall.
Responsibilities:
- Develop and optimize large language models (LLM) and small language models.
- Implement and fine-tune Natural Language Processing (NLP) systems.
- Build and configure traditional AI models alongside modern generative AI (GenAI) systems.
- Apply techniques such as Retrieval-Augmented Generation (RAG) to enhance model efficiency and performance.
- RAG Architecture
- Ensure AI models meet accuracy benchmarks, particularly in terms of precision and recall.
- Collaborate with cross-functional teams to integrate AI solutions into existing products.
- Stay updated with the latest trends in AI, machine learning, and natural language technologies.
Required Qualifications:
- Proven experience in building and configuring both traditional AI models and modern LLMs.
- Strong understanding of NLP techniques and applications.
- Hands-on experience with precision and recall optimization.
- Expertise in developing small language models and handling data in resource-constrained environments.
- Experience with Generative AI and RAG frameworks.
- Proficiency with AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, etc.
- Familiarity with deployment and scaling of AI models in production environments.
Preferred Qualifications:
- Experience in AI research or publications in relevant areas.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Excellent communication and collaboration skills.