Job Description:
We are hiring for roles focused on RAG (Retrieval-Augmented Generation) Systems Development. The candidates will be responsible for implementing scalable RAG systems, working with large-scale data workflows, and leveraging LLM APIs for parallel processing in distributed environments.
Relevant Experience Desired:
- 2 to 6 years of experience in relevant domains
- Associate Consultant (AC): 4 to 6 years
- Hands-on experience in RAG systems development
- Strong proficiency in Python / PySpark
- Experience in distributed computing environments
- Expertise in large-scale LLM API parallelization
- Prior experience in handling and optimizing large-scale data workflows is preferred
Responsibilities:
- Design and implement RAG-based solutions for enterprise use cases
- Develop and optimize data pipelines using Python/PySpark
- Work on distributed systems for scalable data processing
- Implement and manage large-scale LLM API parallelization
- Optimize performance of data workflows and ensure scalability
- Collaborate with cross-functional teams for solution delivery
- Stay updated with advancements in GenAI and LLM technologies
Qualifications:
- Bachelor's/Master's degree in Computer Science, Engineering, Data Science, or related field
- Strong programming and problem-solving skills
- Experience working with large datasets and distributed systems
- Good understanding of AI/ML concepts, especially LLMs and RAG frameworks
- Strong communication and teamwork skills
About Us
Terra TCC is a Technology & Sustainability company offering services in Software, Environment Consulting, and Staff Augmentation to top-notch clients. We continuously strive to help companies find the right technology, the right services and the right talent for their needs. Learn more at www.terratcc.com
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