We are hiring an NLP Engineer to design and build LLM and RAG-based language systems that improve sales and pre-sales efficiency using AI-driven insights.
Company details
SiftHub is an AI-powered sales engineering platform that helps sales and solutions teams improve win rates and close deals faster. It acts as a central hub to organize and analyze content across Drive, Sharepoint, Confluence, CRM, Slack, and product knowledge bases. Website: https://sifthub.ai
Requirements
• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field with focus on NLP
• 4+ years of hands-on experience in NLP with strong proficiency in Python
• Strong understanding of NLP concepts such as embeddings, retrieval, ranking, and text generation
• Experience working with LLMs such as OpenAI or open-source models
• Hands-on experience with deep learning frameworks like PyTorch or TensorFlow
• Experience with prompt engineering, chaining, and agent-based workflows
• Strong analytical and problem-solving skills
• Ability to work independently in a fast-paced product-based startup environment
• Stable employment history with experience in product-based organisations
Responsibilities
• Design and develop clear and effective LLM and RAG-based NLP systems
• Implement and optimize prompt engineering, chaining, and agent workflows
• Collaborate with product, design, and engineering teams to build strong user experiences
• Analyze user feedback and improve model outputs continuously
• Stay updated with new NLP models, tools, and best practices
• Maintain engineering documentation, best practices, and usage guidelines
• Support quality assurance and production readiness by identifying and resolving issues
Job Details
Job location: Mumbai
Interview process
• Screening by HR
• Technical Round
• Assignment
• Technical Round
• Final Round
• Offer
Important Note
ClanX is a recruitment partner, helping SiftHub hire an NLP Engineer.
Please mention you found this job on AI Jobs. It helps us get more startups to hire on our site. Thanks and good luck!
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Machine Learning Engineer Q&A's