Experience:

• 2-3 years

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 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

Nice to have:

• Experience with cloud platforms (AWS, GCP, Azure)
• Experience with containerization (Docker, Kubernetes)
• Strong communication skills
• Ability to work in a collaborative team environment

More skills:

Generative AI Frameworks, deep learning frameworks, prompt engineering, LLM tools, APIs, platforms

Other:

• Proven track record of publishing research or developing scalable AI systems
• Strong background in Mathematics, Statistics, or Computer Science