Artificial Intelligence Research Engineer

Kota, Rajasthan, India

Job Description: AI Research Engineer

Company Name: FlowSet Hub

Location: On-site [Kota]

Employment Type: Internship / Unpaid Opportunity

About FlowSet Hub

FlowSet Hub is an AI and IT innovation company building digital solutions for businesses across AI automation, web and mobile development, 3D designs, and blockchain technology.

Role Overview

We’re looking for a curious and driven AI Research Engineer who wants to explore emerging AI technologies, experiment with AI models, and build practical solutions to real-world problems.

Responsibilities:

  • Research the latest AI models, tools, frameworks, and technologies.
  • Experiment with LLMs, AI agents, and AI automation workflows.
  • Build and test AI prototypes and proof of concepts.
  • Explore ways to apply AI to business processes and real world challenges.
  • Assist in integrating AI capabilities into products and existing systems.
  • Evaluate model performance, accuracy, and reliability.
  • Document experiments, research findings, and technical recommendations.
  • Stay updated on emerging AI developments and industry trends.

Required Skills

  • Basic understanding of AI, machine learning, and deep learning.
  • Knowledge of Python and relevant AI/ML libraries.
  • Familiarity with LLMs, APIs, and prompt engineering.
  • Strong analytical and problem-solving skills.
  • Willingness to learn, experiment, and work independently.
  • Ability to explain technical findings clearly.

Good to Have:

  • Experience with AI agents, RAG, or vector databases.
  • Familiarity with LangChain, LlamaIndex, or similar frameworks.
  • Experience building AI projects or working with open source models.
  • A GitHub profile, portfolio, or relevant research projects.

Who Should Apply?

Students, freshers, and aspiring AI engineers who are passionate about AI research and want practical, hands-on experience working on real world projects.

Opportunity Details

Work mode: On-site

Compensation: Unpaid

Learning: Hands on exposure to AI research, experimentation, and applied AI development.

How to Apply:

Interested candidates can share their resume, GitHub profile, portfolio, or relevant AI projects when applying.

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