Data Scientist / GenAI Engineer
Knowdis
Skills Required
Description
KnowDis AI is a research-driven startup building cutting-edge solutions in Natural Language Processing (NLP) and Generative AI.
Company: KnowDis
Role: Data Scientist / GenAI Engineer
Location: New Delhi
Experience:
- 1-3 years
Key Skills:
- Pytorch
- LLM Finetuning
- Langchain
- LangGraph
- Generative AI frameworks
Qualification:
- Bachelor's degree or equivalent in a quantitative field (Computer Science Engineering, Statistics, Mathematics, etc.)
Role Focus: • 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
Other:
- Interested Candidates are mandatorily required to
- Shortlisted candidates may be required to appear in an Online Assessment and Screening interview administered by Jigya
- Candidates selected after the Jigya screening rounds will be interviewed by KnowDis
Prepare for this role
Recommended resources to build the skills for this position. Sponsored.
Functions, Tools and Agents with LangChain
Coursera
Advanced LangChain covering function calling, tool use, and conversational agents.
Deep Neural Networks with PyTorch
Coursera
Hands-on PyTorch from tensors to CNNs and transfer learning.
LangChain for LLM Application Development
Coursera
Official LangChain course taught by Harrison Chase. Covers chains, agents, and memory.