GCP RAG Engineer - CirrusLabs

We are CirrusLabs. Our vision is to become the world's most sought-after niche digital transformation company that helps customers realize value through innovation. Our mission is to co-create success with our customers, partners and community. Our goal is to enable employees to dream, grow and make things happen. We are committed to excellence. We are a dependable partner organization that delivers on commitments. We strive to maintain integrity with our employees and customers. Every action we take is driven by value. The core of who we are is through our well-knit teams and employees. You are the core of a values driven organization.

You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.

You are excited about creating change because your skills can help the greater good of every customer, industry and community. We are hiring a talented <J

Job Title: GCP RAG Engineer
Location: Hybrid (Atlanta, GA)

Job Overview:

We are seeking a GCP RAG Engineer who is experienced in fine-tuning and improving search functions within large-scale systems. The ideal candidate will have a strong background in Google Cloud Platform (GCP), Artificial Intelligence (AI) technologies, and Vertex DB. This role focuses on enhancing search capabilities in complex environments, leveraging cutting-edge AI-driven techniques and GCP tools to ensure seamless search experiences across large datasets.

Key Responsibilities:

• Fine-tune and optimize search functions within a large-scale system environment using GCP services.
• Leverage GCP AI tools and Vertex DB to build, test, and deploy models for improving search accuracy and efficiency.
• Work on enhancing retrieval-augmented generation (RAG) models to increase the relevance and precision of search results.
• Collaborate with cross-functional teams, including data scientists, machine learning engineers, and backend developers, to deliver scalable search solutions.
• Utilize data from large-scale databases to continuously improve search algorithms.
• Conduct performance testing, evaluate system bottlenecks, and suggest improvements.
• Stay up-to-date with the latest AI and search engine optimization techniques and integrate them into the GCP architecture.
• Provide technical expertise in developing innovative solutions using Google Cloud AI/Client products.

Required Qualifications:

• 5+ years of experience working with Google Cloud Platform (GCP), including AI/Client services and Vertex DB.
• Strong knowledge of retrieval-augmented generation (RAG) and experience in enhancing search models at scale.
• Expertise in large-scale search systems, with a proven track record of improving search functionalities and performance.
• Proficiency in Python, TensorFlow, or other machine learning frameworks.
• Experience with GCP AI services, such as BigQuery, Cloud AI APIs, Vertex AI, and other relevant tools.
• Hands-on experience in developing and fine-tuning machine learning models for search algorithms.
• Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

• Experience working with natural language processing (NLP), search ranking models, and information retrieval systems.
• Knowledge of distributed systems, big data frameworks, and handling massive datasets efficiently.
• Familiarity with AI-driven search optimizations and cloud infrastructure management.
• Prior experience working in an Agile environment.