Generative AI Engineer

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Generative AI Engineer

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Job Type

Full-time

Salary

TBD

About The Company We are a company built on a foundation of strong technologies and global experience. Our team is composed of experts with a diverse range of skills and backgrounds. We have a passion for technology and a drive to stay at the forefront of industry developments.

Job Description We’re looking for enthusiastic fresh graduates passionate about Artificial Intelligence and eager to build cutting-edge Generative AI applications. At Cloudseed Technologies LLP, you’ll have the opportunity to work alongside experienced engineers, explore modern LLMs, and contribute to impactful AI-driven products across domains.

Responsibilities

• Assist in the development of GenAI-based applications using frameworks like LangChain, LlamaIndex, or Hugging Face.
• Support prompt engineering and fine-tuning of large language models (LLMs).
• Work with data engineers to prepare and preprocess datasets.
• Run experiments and evaluate model outputs for accuracy and relevance.
• Research and implement innovative techniques from the latest AI papers.
• Collaborate cross-functionally with product, design, and backend teams.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field (2023/2024 graduates welcome).
• Proficiency in Python and a basic understanding of ML/DL concepts.
• Familiarity with NLP libraries like spaCy, NLTK, or Transformers.
• Good communication, problem-solving, and learning aptitude.
• Bonus: Participation in AI-related internships, hackathons, or academic projects.

Benifits

• Hands-on mentorship from AI and engineering leads.
• Opportunity to work on real-world AI projects with global impact.
• Flexible work options – Remote/Hybrid model.
• Access to AI learning resources, cloud credits, and training.
• Performance-based incentives and career growth path.

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Generative AI Engineer

Apply Now

Job Type

Full-time

Salary

TBD

Responsibilities

• Assist in the development of GenAI-based applications using frameworks like LangChain, LlamaIndex, or Hugging Face.
• Support prompt engineering and fine-tuning of large language models (LLMs).
• Work with data engineers to prepare and preprocess datasets.
• Run experiments and evaluate model outputs for accuracy and relevance.
• Research and implement innovative techniques from the latest AI papers.
• Collaborate cross-functionally with product, design, and backend teams.

Requirements

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field (2023/2024 graduates welcome).
• Proficiency in Python and a basic understanding of ML/DL concepts.
• Familiarity with NLP libraries like spaCy, NLTK, or Transformers.
• Good communication, problem-solving, and learning aptitude.
• Bonus: Participation in AI-related internships, hackathons, or academic projects.

Benifits

• Hands-on mentorship from AI and engineering leads.
• Opportunity to work on real-world AI projects with global impact.
• Flexible work options – Remote/Hybrid model.
• Access to AI learning resources, cloud credits, and training.
• Performance-based incentives and career growth path.

Related Jobs

Cloud engineering track

career

Web development track

career

AI, ML track

career

Full-timeTBD

We are a company built on a foundation of strong technologies and global experience. Our team is composed of experts with a diverse range of skills and backgrounds. We have a passion for technology and a drive to stay at the forefront of industry developments.

We’re looking for enthusiastic fresh graduates passionate about Artificial Intelligence and eager to build cutting-edge Generative AI applications. At Cloudseed Technologies LLP, you’ll have the opportunity to work alongside experienced engineers, explore modern LLMs, and contribute to impactful AI-driven products across domains.

• Assist in the development of GenAI-based applications using frameworks like LangChain, LlamaIndex, or Hugging Face.
• Support prompt engineering and fine-tuning of large language models (LLMs).
• Work with data engineers to prepare and preprocess datasets.
• Run experiments and evaluate model outputs for accuracy and relevance.
• Research and implement innovative techniques from the latest AI papers.
• Collaborate cross-functionally with product, design, and backend teams.
• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field (2023/2024 graduates welcome).
• Proficiency in Python and a basic understanding of ML/DL concepts.
• Familiarity with NLP libraries like spaCy, NLTK, or Transformers.
• Good communication, problem-solving, and learning aptitude.
• Bonus: Participation in AI-related internships, hackathons, or academic projects.
• Hands-on mentorship from AI and engineering leads.
• Opportunity to work on real-world AI projects with global impact.
• Flexible work options – Remote/Hybrid model.
• Access to AI learning resources, cloud credits, and training.
• Performance-based incentives and career growth path.

Cloudseed Technologies

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