Experience:

• 2-3 years
• Strong practical experience with LLM tools, prompt engineering, and real-world GenAI applications
• Strong background in Mathematics, Statistics, or Computer Science
• Proven track record of publishing research or developing scalable AI systems

Qualification:

• Bachelor's degree in Computer Science, Data Science, or a related field
• Master's or PhD preferred

Responsibilities:

• Design, test, and optimise LLM-driven solutions for real business use cases
• Create, refine, and manage prompts, workflows, and agent setups
• Rapidly prototype GenAI applications using existing tools, APIs, and platforms
• Evaluate LLM outputs for accuracy, bias, safety, and reliability
• Collaborate with business and technical teams to translate ideas into working AI solutions
• Continuously improve the performance, efficiency, and cost-effectiveness of LLM usage

Additional responsibilities:

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

Nice to have:

• Experience with cloud platforms such as AWS, GCP, or Azure
• Experience with containerization such as Docker or Kubernetes

More skills:

Generative AI frameworks, Deep learning frameworks, NLP, LLM tools, APIs, Platforms

Other:

• KnowDis AI works across e-commerce, fashion, banking, and pharma
• The role is hands-on, curious, and execution-focused
• Strong communication skills and ability to work in a collaborative team environment