AI/ML Engineer Intern (Generative AI / LLMs)

xIoTz Private Limited

Coimbatore District

Hybrid

INR 102,000 - 122,000

Full time

14 days+

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Benefits offered by this job

Mentorship from engineers and founders
Letter of Recommendation
Internship Completion Certificate
Potential for full-time employment

Job summary

xIoTz Private Limited is hiring AI/ML Engineer Interns to work on cutting-edge capabilities within the UCAP platform. You will build production-ready AI systems, including LLM-powered applications, RAG pipelines, and AI agents for enterprise use.

The role focuses on designing, developing, and deploying AI/ML solutions, with on-site/hybrid work in Coimbatore and a stipend of ₹10,000 per month. Collaborate with product, engineering, and design teams to ship impactful results.

Qualifications

  • Bachelor’s or Master’s degree (or pursuing) in CS, AI, or data science.
  • Strong Python and ML fundamentals.
  • Exposure to LLMs, prompt engineering, and Generative AI.
  • Familiarity with PyTorch or TensorFlow.
  • Understanding of NLP, embeddings, vector databases, and RAG.
  • Knowledge of REST APIs, Git, and cloud platforms (AWS/Azure/GCP).
  • Strong problem-solving and analytical skills.

Responsibilities

  • Design, develop, and deploy machine learning and generative AI solutions.
  • Build LLM-powered applications using modern AI frameworks.
  • Develop data pipelines for data collection, preprocessing, and feature engineering.
  • Implement RAG systems and vector databases.
  • Work on AI agents and autonomous workflows.
  • Fine‑tune, evaluate, and optimize ML/LLM models.
  • Integrate AI models with backend services and APIs.
  • Monitor model performance and improve accuracy, reliability, and scalability.
  • Collaborate with product, engineering, and design teams.
  • Document experiments, workflows, and system designs.

Skills

Python
Machine Learning
LLMs
Generative AI
NLP
REST APIs
Git
Cloud Platforms

Education

Bachelor’s or Master’s degree (pursuing) in CS/AI/Data Science

Tools

PyTorch
TensorFlow
LangChain
LlamaIndex
DSPy
Docker
Kubernetes

Job description

Job Details
  • Position: AI/ML Engineer Intern (Generative AI / LLMs)
  • Job Type: Full-Time Internship
  • Location: Coimbatore (On-Site/Hybrid)
  • Eligibility: Freshers / Final Year Students (AI/ML/CS background preferred)
  • Stipend: ₹10,000 per month
About xIoTz Private Limited

xIoTz Private Limited is an award-winning Indigenous cybersecurity company developing next-generation cyber assurance solutions for enterprises, government organizations, and critical infrastructure.

  • Author/Contributor to the National Cybersecurity Framework: “15 Elemental Cyber Defense Controls for MSMEs” by CERT-In
  • Serving the Nation & Defence Sector – Winner of iDEX (Innovations for Defence Excellence), Indian Navy DISC IX Challenge
  • National Award Winner – National Technology Award 2023 (TDB, DST, MeitY) for Indigenous Cyber Assurance Platform
  • National Startup Awards – Fully Bootstrapped and Finalist of National Startup Awards 5.0 (Bootstrapped Category, DPIIT)
  • Research & Innovation Ecosystem – Associated with leading research and defence innovation ecosystems - C3iHub, with incubation support from IIT Kanpur
  • Associated with DDTII - Defence Design and Technology Incubator of India (DDTII)
  • Academic & Leadership Engagement – Entrepreneur-in-Residence at IIT Palakkad, contributing to deep-tech innovation and ecosystem development
  • Accelerated by Data Security Council of India (DSCI), an initiative of NASSCOM under the NCoE program
  • Winner of Chaunauti 8.0, organized by Software Technology Parks of India (STPI)

Joining xIoTz provides practical exposure to enterprise IT sales, business development, customer engagement, and cybersecurity solutions.

About the Job

We are hiring AI/ML Engineer Interns with experience or interest in Python, Machine Learning, LLMs, and Generative AI to work on cutting‑edge AI capabilities within our Unified Cyber Assurance Platform (UCAP).

This role focuses on building production‑ready AI systems, including LLM‑powered applications, RAG pipelines, and AI agents used by enterprise customers.

Responsibilities
  • Design, develop, and deploy machine learning and generative AI solutions.
  • Build LLM-powered applications using modern AI frameworks.
  • Develop data pipelines for data collection, preprocessing, and feature engineering.
  • Implement RAG (Retrieval-Augmented Generation) systems and vector databases.
  • Work on AI agents and autonomous workflows.
  • Fine‑tune, evaluate, and optimize ML/LLM models.
  • Integrate AI models with backend services and APIs.
  • Monitor model performance and improve accuracy, reliability, and scalability.
  • Collaborate with product, engineering, and design teams.
  • Document experiments, workflows, and system designs.
Qualifications
  • Bachelor’s or Master’s degree (or pursuing) in Computer Science, AI, Data Science, or a related field.
  • Strong knowledge of Python and machine learning fundamentals.
  • Exposure to LLMs, prompt engineering, and Generative AI.
  • Familiarity with PyTorch or TensorFlow.
  • Understanding of NLP, embeddings, vector databases, and RAG.
  • Knowledge of REST APIs, Git, and cloud platforms (AWS/Azure/GCP).
  • Strong problem-solving and analytical skills.
Preferred Skills
  • Experience with LangChain, LlamaIndex, DSPy, or similar frameworks.
  • Knowledge of MLOps, model deployment, and monitoring.
  • Experience building production‑grade AI applications.
  • Familiarity with Docker, Kubernetes, or distributed systems.
  • Basic understanding of cybersecurity concepts (bonus).
Benefits
  • Hands‑on experience building real‑world AI & cybersecurity solutions.
  • Exposure to LLMs, RAG pipelines, and agentic AI systems.
  • Mentorship from experienced engineers and founders.
  • Letter of Recommendation based on performance.
  • Internship Completion Certificate.
  • Opportunity for full‑time employment based on performance.
Diversity & Inclusion

xIoTz is committed to making diversity, equity, and inclusion part of everything we do. We believe in equal opportunities, equal pay, equal treatment, and equal experiences for everyone.

At xIoTz, diversity, equity, and inclusion are fundamental to our culture. We believe that diverse perspectives create stronger teams, better innovation, and better outcomes.

We are committed to providing equal opportunities, equal pay, equal treatment, and equal experiences for everyone regardless of age, race, ethnicity, religion, gender, sexual orientation, socioeconomic background, disability status, or any other differentiating factor.

Every person who joins xIoTz should feel respected, valued, and empowered to contribute to our mission of building world‑class cybersecurity solutions.

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