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Cloudseed Technologies
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Generative AI Engineer

Generative AI Engineer

Cloudseed Technologies

0 years

3 - 6 Lacs

coimbatore

Posted:6 hours ago| Platform: GlassDoor logo

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Skills Required

ai technology drive cutting development support engineering tuning data preprocess model research design python ml nltk communication learning

Work Mode

Remote

Job Type

Full Time

Job Description

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.

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