AI Associate - LLM

AI Associate - Large Language Models

Experience: 2-3 years

Location: Bangalore

This is NewCold

NewCold is service provider in cold chain logistics with a focus on the development and operation of large, highly automated cold stores. NewCold strives to be crucial in the cold chain of leading food companies, by offering advanced logistic services worldwide. We use the latest technology that empowers our people, to handle food responsibly and guarantee food safety in a sustainable way. We challenge industry, believe in long-term partnerships, and deliver solid investment opportunities that enable next generation logistic solutions.

NewCold is one of the fastest growing companies in cold chain logistics. We are expanding our teams to support this growth. More information on NewCold can be found on www.newcold.com and our social media.

Position: AI Associate Large Language Models (LLMs)

We are looking for a curious and motivated AI Associate (LLMs) to join our fast-growing AI team. In this role, you will work hands-on with state-of-the-art language models to build intelligent solutions that interact with text and language in powerful new ways.

Your Role:

Youll contribute to projects that transform how we retrieve information, summarize content, analyze documents, and automate workflows using modern LLM techniques.

What Youll Do:

Work with leading LLM frameworks such as LangChain, Hugging Face Transformers, or OpenAI APIs to develop language-based applications.

Build and optimize Retrieval-Augmented Generation (RAG) pipelines that combine LLMs with semantic search using tools like FAISS or Chroma.

Design and refine prompts to solve tasks like summarization, classification, question answering, and document interpretation.

Fine-tune open-source models for domain-specific use cases using custom datasets.

Collaborate with engineers to integrate models into applications via APIs or workflows.

Evaluate model performance and improve output quality with prompt tuning, temperature control, and context management.

Document model behavior, tuning strategies, and deployment details to ensure repeatability and transparency.

What Were Looking For:

B.Tech / M.Tech in Computer Science, Data Science, or a related field.

1-2 years of experience working with machine learning or NLP, ideally including some LLM-based projects.

Strong Python programming skills and familiarity with Transformers, LangChain, or LLM APIs (e.g., OpenAI, Cohere).

Good understanding of LLM fundamentals: prompting, embeddings, context windows, and fine-tuning approaches.

Exposure to vector databases (FAISS, Pinecone, etc.) and semantic search.

Experience deploying models in cloud environments (Azure preferred) or via APIs.

Nice to Have:

Hands-on experience with LoRA, PEFT, or other parameter-efficient fine-tuning techniques.

Background in building chatbots, knowledge assistants, or document automation tools.

Understanding of LLM safety, hallucination mitigation, and prompt optimization.