AI Data Scientist – Generative AI, Agentic & LLM Research

Compensation: $20k – $100k

We are seeking innovative AI Data Scientists with a strong focus on Generative AI and Large Language Model (LLM) research. In this role, you will design, develop, and deploy advanced enhanced models, contributing to both applied research and production-ready AI solutions. You will collaborate with cross-functional teams to translate business needs into impactful AI-driven products, and remain at the forefront of advancements in generative modeling, NLP, and LLM technologies.

Key Responsibilities

• Design, develop, and optimize generative AI and LLM-based models for applications such as text generation, conversational AI, document summarization, and information retrieval.

• Conduct research and stay current with the latest advancements in machine learning, NLP, NLU, NLG, and LLM architectures.

• Implement, fine-tune, and experiment with state-of-the-art techniques, including Retrieval-Augmented Generation (RAG), prompt tuning, and knowledge graphs.

• LLM Evaluation Research and build and deliver a process, applications and methodologies to evaluate LLMs to scale.

• Build and maintain scalable data pipelines and cloud-based solutions to support model training and deployment.

• Collaborate with engineers, product managers, and stakeholders to identify business opportunities and deliver customer-focused AI solutions.

• Mentor junior data scientists and contribute to a culture of continuous learning and technical excellence.

• Ensure robust documentation, quality assurance, and adherence to best practices in Responsible and Explainable AI.

• Communicate complex technical concepts to both technical and non-technical audiences. Required Qualifications

• Master’s degree (or higher) in Computer Science, Data Science, Statistics, Mathematics, or a related field; PhD preferred.

• 3+ years of experience in data science or machine learning, with a proven track record in generative AI or LLM-based solutions.

• Strong programming skills in Python; familiarity with frameworks such as PyTorch, TensorFlow, JAX, and Scikit-learn.

• Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), and CI/CD tools.

• Deep understanding of machine learning, deep learning, and NLP techniques, including experience with RAG, LLM fine-tuning, and prompt engineering.

• Ability to design and implement large-scale data pipelines and work with a variety of structured and unstructured data sources.

• Excellent communication, collaboration, and stakeholder management skills.

Preferred Skills Experience with vector databases, advanced indexing, and knowledge graph integration. Familiarity with Responsible AI, model governance, and explainability best practices. Experience working in Agile, cross-functional teams and mentoring junior colleagues.

What We Offer

• Opportunity to work at the cutting edge of Generative AI and LLM research, with access to state-of-the-art infrastructure and a collaborative, multidisciplinary team.
• A dynamic environment where your work directly impacts product innovation and business outcomes.
• Continuous learning, career growth, and the chance to shape the future of AI applications across industries.