Noblesoft Solutions · 4 hours ago
Senior Python Developer with RAG / AWS- Local to Tampa, FL
Noblesoft Solutions is seeking a talented and passionate Python Developer to join their team. The role involves designing, building, and maintaining applications that leverage large language models and advanced retrieval techniques to create innovative AI solutions.
Responsibilities
We are seeking a talented and passionate Python Developer to join our team and contribute to the development and implementation of innovative Retrieval-Augmented Generation (RAG) systems
You will play a crucial role in designing, building, and maintaining applications that leverage the power of large language models (LLMs) and advanced retrieval techniques to create cutting-edge AI solutions
Qualification
Required
Strong Python programming skills
Demonstrated proficiency in Python programming, including experience with relevant libraries and frameworks (e.g., FastAPI, Flask, Pandas, NumPy)
Experience with LLMs and RAG systems
Familiarity with large language models and retrieval-augmented generation techniques, including experience with LLM APIs and retrieval systems
Experience with data retrieval and indexing
Experience with data retrieval from various sources (e.g., databases, APIs, file systems) and building and managing retrieval indices
Knowledge of data structures and algorithms
Understanding of fundamental data structures and algorithms relevant to building efficient and scalable RAG applications
Experience with cloud computing platforms (e.g., AWS, GCP, Azure)
Familiarity with cloud computing platforms and their services for deploying and scaling RAG applications
Strong problem-solving and analytical skills
Ability to identify, analyze, and solve complex problems related to data retrieval, LLM integration, and RAG system optimization
Bachelor's degree in Computer Science, Software Engineering, or related technical field required
Minimum 4 years of Python experience
Preferred
Experience with specific LLM frameworks (e.g., LangChain, Hugging Face Transformers)
Familiarity with search engines and information retrieval techniques
Experience with machine learning and deep learning concepts
Experience with building and deploying production-ready applications
Contribution to open-source projects related to RAG or LLMs
Master's degree in Computer Science, AI/ML, or related field preferred
Relevant professional certifications in Python, cloud platforms, or AI/ML technologies are a plus
Some knowledge and experience on AWS and RAG is highly preferred