Webrange Solutions is a dynamic software development company that prides itself on it’s team of talented and dedicated employees. We believe that our success is built on the skills and passion of our people. We are committed to providing our team with challenging and rewarding projects, ongoing training and development opportunities, and a collaborative and supportive work environment. We value creativity, innovation, and the ability to think outside the box, and we recognise and reward hard work and dedication.We are looking for passionate AI Engineer to join our team and gain hands-on experience in cutting-edge AI research and development. Join our team and be a part of creating cutting-edge technology that makes a difference in the world.Key ResponsibilitiesAssist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.RequirementsCurrently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.Experience with SQL/NoSQL databases is a plus.Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.Strong problem-solving skills and a passion for NLP and generative AI research.Ability to work independently and collaboratively within cross-functional teams.Job Type: Full-timePay: Rs80,000.00 – Rs150,000.00 per monthWork Location: In personJob Id: 1ocNzJgCR1pTkqF26GGd7AkbINvHVKcYNA7SGqWuGusHey7nkwsPchx0lEQKuou8YFGu4jtioLPoVLJfRwK5mGC3E1iovoL9Qx7PhJb60v

Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers).Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications.Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications.Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems.Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality.Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team.Collaborate with developers and product teams to design intelligent AI-driven features and prototypes. Assist in designing, developing, and fine-tuning NLP and generative AI models (LLMs, embeddings, transformers). Work with text datasets to preprocess, clean, tokenize, and analyze data for NLP applications. Integrate OpenAI, Azure OpenAI, or similar LLM-based APIs into web and mobile applications. Build and optimize prompt engineering workflows, embeddings-based search, RAG (Retrieval-Augmented Generation), and conversational AI systems. Contribute to deploying NLP/LLM models, monitoring their performance, and improving response quality. Research emerging AI and LLM technologies (OpenAI, Anthropic, Meta, Google, etc.) and present insights to the team. Collaborate with developers and product teams to design intelligent AI-driven features and prototypes.

Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field.Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation.Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex.Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning).Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices.Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc.Experience with SQL/NoSQL databases is a plus.Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus.Strong problem-solving skills and a passion for NLP and generative AI research.Ability to work independently and collaboratively within cross-functional teams. Currently pursuing or recently completed a degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Solid understanding of NLP concepts: tokenization, attention mechanisms, transformers, embeddings, and text classification/generation. Proficiency in Python and NLP/AI libraries such as HuggingFace Transformers, spaCy, NLTK, LangChain, or LlamaIndex. Experience integrating OpenAI or Azure OpenAI APIs (ChatCompletions, Assistants, Embeddings, Fine-Tuning). Familiarity with RAG pipelines, vector databases (Pinecone, FAISS, Weaviate, Chroma), and prompt engineering best practices. Understanding of model evaluation techniques for NLP: BLEU, ROUGE, perplexity, embedding similarity, etc. Experience with SQL/NoSQL databases is a plus. Knowledge of cloud platforms (AWS, GCP, or Azure) and deploying AI workloads is a bonus. Strong problem-solving skills and a passion for NLP and generative AI research. Ability to work independently and collaboratively within cross-functional teams.

📊 Experience Required: Entry level

⭐ Seniority Level: Entry level

🎯 Job Function: Engineering and Information Technology

See who Urban Ridge Supplies has hired for this role

🏭 Industries: Wholesale Building Materials

👥 Number of Applicants: 176

📅 Posted Date: December 16, 2025