Data Scientist - Support Top-Tier Entrepreneurs

RayAI Inc.; Remote; ZAR 400 000 - 500 000; Full time

Job summary

A technology company is seeking a highly skilled Data Scientist to design and deploy AI-powered solutions. The role involves building LLM systems, developing RAG pipelines, and integrating multimodal AI solutions. Candidates should have proficiency in Python and experience with AI tooling ecosystems. The position is fully remote, offering competitive salary and performance-based bonuses.

Benefits

Competitive salary

Performance-based bonuses

Flexible work environment

Specialized training in AI

Modern laptop and hardware

Qualifications

• At least 2 years experience focused on LLMs or Generative AI.
• Experience with end-to-end RAG and fine-tuning.
• Strong understanding of model evaluation and reliability.

Responsibilities

• Design and optimize LLM-powered systems.
• Implement RAG pipelines and hybrid search strategies.
• Develop production-ready AI applications using Python.

Skills

Applied machine learning

Experience with LLMs

Python proficiency

Experience with AI tooling ecosystems

Distributed training

Model optimization

Tools

PyTorch

LangChain

Pinecone

Weaviate

Qdrant

Job description

A Message from Our CEO:

We are seeking a highly skilled Data Scientist with deep expertise in modern AI/ML systems, including LLMs, multimodal models, fine-tuning techniques, and advanced retrieval architectures. In this role, you will design, prototype, and deploy AI-powered solutions that leverage state-of-the-art language, vision, and agentic frameworks. You will work closely with engineering, product, and research teams across the US and Europe to bring cutting-edge AI capabilities into production environments.

Your Responsibilities:

• Design, build, and optimize LLM-powered systems using OpenAI, Anthropic, and open-source/local model families.
• Architect and implement RAG pipelines, including hybrid search, query rewriting, prompt optimization, and reranking strategies.
• Develop and maintain vector database infrastructures (Pinecone, Weaviate, Qdrant) for large-scale embedding storage and fast retrieval.
• Train, evaluate, and retrain embedding models for domain-specific semantic search and knowledge retrieval.
• Build and integrate multimodal AI solutions using OCR, CLIP, and modern vision architectures for text-image understanding.
• Apply fine-tuning techniques (LoRA/QLoRA) to adapt foundation models to organizational datasets and specialized tasks.
• Develop production‑ready AI applications using Python, PyTorch, and modern orchestration frameworks.
• Implement LLM orchestration with LangChain or LlamaIndex, including evaluators, tool abstractions, memory, and RAG components.
• Establish robust evaluation frameworks to measure model performance, reduce hallucination, and ensure reliability in production.
• Build agentic workflows using AutoGen, CrewAI, or similar frameworks to power automation and multi‑agent collaboration systems.
• Stay current with research trends and apply theoretical and practical insights in Generative AI to drive innovation across the organization.

What we look for:

• Experience in applied machine learning or data science, with at least 2 years focused specifically on LLMs or Generative AI.
• Demonstrated experience building end‑to‑end RAG, fine‑tuning, or multimodal AI systems.
• Strong proficiency in Python, PyTorch, and AI tooling ecosystems.
• Experience deploying models at scale in production environments.
• Strong understanding of evaluation metrics, model reliability, and safety/reduction of hallucination.
• Familiarity with vector embeddings, vector databases, and semantic search.
• Experience with agent frameworks such as AutoGen, CrewAI, or LangGraph‑like toolkits.
• Experience with distributed training, model optimization, quantization, or GPU acceleration.
• Knowledge of DevOps/MLOps tooling for deploying LLM‑based systems.
• Contributions to open‑source LLM or RAG projects.

What we offer:

• Competitive salary and performance‑based bonuses.
• Fully remote, flexible work environment.
• Modern laptop and hardware provided by us.
• Specialized training in AI, automation, and digital productivity tools.
• Global exposure—collaborate with top‑tier founders and fast‑growing startups.
• Continuous learning and career growth opportunities in an international environment.