Data Scientist / GenAI Engineer

About KnowDis:

KnowDis AI is a research-driven startup building cutting-edge solutions in Natural Language Processing (NLP) and Generative AI. Our AI tools are designed to automate and enhance business processes, including content generation, information retrieval, and document understanding. We work with clients across industries such as e-commerce, fashion, banking, and pharma, helping them unlock value through enterprise-ready AI solutions.

Role Overview:

We are hiring GenAI/LLM practitioners who are hands-on, curious, and execution-focused. Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications is essential.

Key Responsibilities:

- Design, test, and optimise LLM-driven solutions for real business use cases

- Create, refine, and manage high-quality prompts, workflows, and agent setups

- Rapidly prototype GenAI applications using existing tools, APIs, and platforms

- Evaluate LLM outputs for accuracy, bias, safety, and reliability

- Stay current with new LLM models, tools, and GenAI trends, and apply them pragmatically

- Collaborate with business and technical teams to translate ideas into working AI solutions

- Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage

What you'll need
- Strong background in Mathematics, Statistics, or Computer Science.
- Experience with deep learning frameworks like PyTorch or TensorFlow.
- Proven track record of publishing research or developing scalable AI systems.
- Key Skills : PyTorch, LLM Finetuning, Langchain, LangGraph, Other Generative AI Frameworks

Qualifications
Bachelor's degree in Computer Science, Data Science, or a related field (Master's or PhD preferred).

Additional Competencies
- Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes) is a plus.
- Strong communication skills and ability to work in a collaborative team environment.