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Jabsa AI Software Engineer Internship 2026 for Freshers | LLM, Generative AI & Machine Learning Internship in Belgaum


 

Job Overview

CategoryDetails
CompanyJabsa
RoleAI Software Engineer Intern
ExperienceFreshers & Students
Internship Duration4 Months
LocationBelgaum, Karnataka
Work ModeOn-Site
Internship TypeFull-Time
DomainArtificial Intelligence, Machine Learning, Generative AI
BenefitsCertificate, Letter of Recommendation, Hands-On Experience

About the Internship

Jabsa is offering an exciting AI Software Engineer Internship for students and aspiring AI professionals who want practical exposure to Large Language Models (LLMs), Generative AI, AI product development, and cloud deployment.

Interns will work on real-world AI applications, develop and fine-tune language models, optimize AI systems, and gain hands-on experience with industry-leading AI frameworks and cloud platforms.

This internship is ideal for candidates interested in Machine Learning, Deep Learning, Generative AI, Prompt Engineering, LLM Development, and AI Product Engineering.

Roles and Responsibilities

  • Develop and fine-tune Large Language Models (LLMs)
  • Build AI-powered applications and products
  • Integrate AI models into practical business solutions
  • Perform data preprocessing and dataset preparation
  • Analyze and augment training datasets
  • Collaborate on AI research and development projects
  • Optimize AI models for performance and scalability
  • Improve model accuracy and efficiency
  • Create technical documentation for AI workflows
  • Support deployment and monitoring of AI applications

Technologies and Tools

AI & Machine Learning Frameworks

  • TensorFlow
  • PyTorch
  • Hugging Face
  • LangChain
  • OpenAI APIs

Cloud Platforms

  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
  • Microsoft Azure

Data Tools

  • Label Studio
  • Data Annotation Platforms
  • Dataset Processing Tools

Eligibility Criteria

Candidates should have:

  • Interest in Artificial Intelligence and Machine Learning
  • Understanding of Python programming
  • Basic knowledge of Deep Learning concepts
  • Familiarity with Data Structures and Algorithms
  • Interest in Generative AI and LLMs
  • Strong analytical and problem-solving skills
  • Willingness to learn emerging AI technologies

Learning Outcomes

During the internship, candidates will:

  • Learn Large Language Model development
  • Understand AI product lifecycle management
  • Gain practical experience in Generative AI applications
  • Work with cloud-based AI deployment environments
  • Learn model optimization techniques
  • Build real-world AI projects
  • Understand scalable AI architectures

Benefits

  • Certificate of Completion
  • Letter of Recommendation
  • Real-world AI Project Experience
  • Exposure to Industry AI Tools
  • Mentorship from AI Professionals
  • Practical LLM Development Experience

Required Technical Skills

Programming Skills

  • Python
  • SQL
  • Data Structures
  • Algorithms

AI Skills

  • Machine Learning
  • Deep Learning
  • Neural Networks
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Model Training
  • Model Evaluation

Cloud Skills

  • AWS
  • Azure
  • Google Cloud Platform
  • AI Deployment

ATS Resume Keywords

Core AI Keywords

Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Large Language Models, LLM, NLP, Neural Networks, Computer Vision, Reinforcement Learning, AI Engineering

Technical Keywords

Python, TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI API, Prompt Engineering, Model Fine-Tuning, Data Annotation, Data Preprocessing, Feature Engineering

Cloud & Deployment Keywords

AWS, Azure, Google Cloud, Docker, Kubernetes, Model Deployment, MLOps, CI/CD, AI Infrastructure

Skills Comparison Table

FreshersAdvanced AI Candidates
Python BasicsLLM Fine-Tuning
Machine Learning FundamentalsAdvanced NLP
Statistics BasicsAI Model Optimization
Data AnalysisMLOps
Deep Learning BasicsDistributed Training
SQLAI Product Architecture
Prompt EngineeringScalable AI Systems
Hugging Face BasicsProduction AI Deployment

Why Apply?

  • Work on cutting-edge Generative AI projects
  • Gain practical LLM development experience
  • Learn AI product engineering
  • Build industry-ready AI skills
  • Strengthen your AI portfolio
  • Receive certification and recommendation letter
  • Enhance career opportunities in AI and Machine Learning

SEO Keywords

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