Junior AI Engineer

Kumaran Systems

Chennai District

On-site

INR 600,000 - 1,200,000

Full time

6 days ago
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Job summary

Kumaran Systems in Chennai is seeking an AI/ML Engineer with 1-2 years to build, deploy AI/ML solutions using Python, focusing on Generative AI and LLM-based projects.

You will work with data engineers and software teams to integrate models, optimize performance, and stay current with GenAI advancements.

Qualifications

  • 1–2 years of experience in AI/ML engineering.
  • Strong Python programming skills.
  • Hands-on Generative AI experience.
  • Good understanding of Large Language Models (LLMs).
  • Experience with Prompt Engineering and RAG architecture.
  • Knowledge of AI/ML concepts, algorithms and evaluation.
  • Experience with REST APIs and integrating models into applications.

Responsibilities

  • Develop and implement AI/ML solutions using Python.
  • Work on Generative AI applications, including LLM-based solutions.
  • Develop and integrate AI models and APIs into business applications.
  • Work with LLMs, prompt engineering, embeddings, and vector databases.
  • Build and test AI/ML models and evaluate their performance.
  • Assist in developing RAG (Retrieval-Augmented Generation) based applications.
  • Perform data preprocessing, feature engineering, model evaluation, and optimization.
  • Collaborate with software engineers, data engineers, and business stakeholders to integrate AI solutions.
  • Debug, test, and optimize AI/ML applications for performance and reliability. Stay updated with the latest developments in Generative AI, LLMs, and AI/ML technologies.

Skills

Python programming
Generative AI
LLMs
Prompt engineering
REST APIs
Model evaluation
Data preprocessing

Tools

LangChain
LlamaIndex
FAISS
Pinecone
Chroma
Weaviate
Docker
Git
AWS/Azure/GCP

Job description

Job Description AI/ML Engineer Job Title: AI/ML Engineer

Experience: 1-2 Years

Location: Chennai

Employment Type: Full-Time


Job Summary

We are looking for a motivated AI/ML Engineer with 1-2 years of experience to join our technology team in Chennai. The ideal candidate should have strong programming skills in Python and hands-on experience in Generative AI. The candidate will work on developing, integrating, and deploying AI/ML solutions and contribute to real-world GenAI initiatives.


Key Responsibilities
  • Develop and implement AI/ML solutions using Python.
  • Work on Generative AI applications, including LLM-based solutions.
  • Develop and integrate AI models and APIs into business applications.
  • Work with LLMs, prompt engineering, embeddings, and vector databases.
  • Build and test AI/ML models and evaluate their performance.
  • Assist in developing RAG (Retrieval-Augmented Generation) based applications.
  • Perform data preprocessing, feature engineering, model evaluation, and optimization.
  • Collaborate with software engineers, data engineers, and business stakeholders to integrate AI solutions.
  • Debug, test, and optimize AI/ML applications for performance and reliability. Stay updated with the latest developments in Generative AI, LLMs, and AI/ML technologies.

Mandatory Skills
  • 1-2 years of professional experience in AI/ML Engineering or a related role.
  • Strong hands-on programming experience in Python.
  • Mandatory hands-on experience in Generative AI.
  • Good understanding of Large Language Models (LLMs).
  • Experience with Prompt Engineering. Understanding of RAG architecture and applications.
  • Knowledge of AI/ML concepts, algorithms, and model evaluation.
  • Experience working with REST APIs and integrating AI models into applications.
  • Good problem-solving and analytical skills

Good to Have
  • Experience with Open AI, Azure OpenAI, Gemini, Claude, or similar LLM platforms.
  • Experience with LangChain or LlamaIndex. Knowledge of vector databases such as FAISS, Pinecone, Chroma, or Weaviate. Exposure to Hugging Face and open-source LLMs.
  • Basic knowledge of Docker, Git, and cloud platforms such as AWS/Azure/GCP.
  • Exposure to AI Agents, fine-tuning, embeddings, or MLOps.
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