Ai/llm Engineers

Pagaar India

Chennai District

On-site

INR 558,000 - 837,000

Full time

4 days ago
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Job summary

Pagaar India seeks a fresh AI/LLM Engineer to join our Chennai team at Rajiv Gandhi Salai (OMR). You will contribute to designing and fine-tuning AI models, implementing RAG pipelines, and integrating LLM APIs. Strong Python skills and ML basics are essential; immediate joiners preferred.

The role is in-office in Chennai with exposure to cutting-edge AI techniques, data processing, and collaboration with senior scientists and product teams.

Qualifications

  • Freshers (0–1 year) or academic projects in AI/ML.
  • Strong Python, ML basics, and AI model development.
  • Experience with PyTorch or TensorFlow is a plus.
  • Immediate joiner, in-office Chennai location.

Responsibilities

  • Assist in designing, developing, and fine-tuning AI models and LLMs.
  • Implement RAG pipelines and integrate LLM APIs (OpenAI, Anthropic, HuggingFace).
  • Write clean data preprocessing and model evaluation scripts in Python.
  • Collaborate with data engineers to prepare large datasets for training.

Skills

Python
NumPy/Pandas
ML Basics
LLM Fundamentals
Vector Embeddings
SQL/NoSQL
Git/Jupyter
PyTorch/TensorFlow
ChromaDB/Pinecone

Education

B.E./B.Tech/MCA/M.Sc/M.Tech in CS/DS/AI

Tools

Git
Jupyter
PyTorch
TensorFlow

Job description

# AI/LLM Engineers in ChennaiGIRI CONSULTANCYPost Graduate / MBAAI & Machine LearningExperienceFresherSalary Package₹6,00,000 - ₹9,00,000 P.A.Work LocationRajiv Gandhi Salai, Chennai, Tamil NaduJob TypeFULL TIMEPosted: 24/09/2026 Actively Reviewing ResumesJob ID: #V1PH8WXG## Job DescriptionTarget Role:AI/LLM Engineers in ChennaiEligibility:Post Graduate / MBADirect Process:0% Placement Charges**JobDescription: AI / LLM Engineer****JobOverview**Weare looking for an ambitious and highly motivated **Fresher** to join ourcutting-edge AI team as a **AI / LLM Engineer** at our office in **RajivGandhi Salai (OMR), Chennai**. If you have a solid foundational understandingof Machine Learning, Deep Learning, and Large Language Models (LLMs), writeexceptional Python code, and are an **immediate joiner**, this is yourchance to build the future of AI.**KeyInformation**· **Position:** AI / LLM Engineer· **Experience:** Freshers (0 - 1 year experience / Academic projects or AIbootcamps are a plus)· **Location:** Rajiv Gandhi Salai (OMR), Chennai (In-Office)· **Joining Status:** **Immediate Joiners Only** (Max 7 days notice)· **Monthly Salary:** ₹50,000 to ₹75,000 per month· **AnnualCompensation (CTC):** **₹6,00,000 to ₹9,00,000 Per Annum(6.0 LPA - 9.0 LPA)****KeyResponsibilities**· Assist in designing, developing, andfine-tuning AI models and Large Language Models (LLMs).· Implement Retrieval-AugmentedGeneration (RAG) pipelines and integrate LLM APIs (OpenAI, Anthropic, HuggingFace).· Write clean, maintainable, andoptimized data preprocessing and model evaluation scripts using Python.· Collaborate with data engineers tocurate, clean, and structure large datasets for training and validation.· Build and experiment with AI agents,prompt engineering techniques, and vector databases (Pinecone, ChromaDB).· Work closely with senior AIscientists and product teams to integrate AI models into user-facing webapplications.**RequiredSkills & Qualifications**· **Core Language:** Strong proficiency in **Python** and standard libraries(NumPy, Pandas, Scikit-Learn).· **AI/ML Frameworks:** Solid conceptual knowledge of **PyTorch, TensorFlow**,or Hugging Face Transformers.· **LLM Foundations:** Basic understanding of Transformer architectures, **PromptEngineering**, and Vector Embeddings.· **Databases:** Familiarity with Vector Databases (Chroma, Pinecone, orMilvus) and SQL/NoSQL databases.· **Tools:** Proficiency with Git, GitHub, and Jupyter Notebooks.· **Soft Skills:** Exceptional problem-solving capabilities, mathematicalaptitude, and eagerness to stay updated with daily AI advancements.· **Education:** B.E. / B.Tech / MCA / M.Sc / M.Tech in Computer Science,Data Science, AI, or equivalent quantitative discipline.
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