Artificial Intelligence Engineer

DataE2E Technologies

DataE2E Technologies seeks an AI Engineer experienced in Databricks, Generative AI, and cloud data platforms to develop and integrate AI solutions.

Last checked on June 12, 2026. We may earn a commission when you click through.

✓ Work with innovative AI technologies. ✓ Opportunities for professional development. ✓ Engaging projects in a dynamic environment.

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Artificial Intelligence Engineer

DataE2E Technologies

Updated 3 months ago

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Jaipur

A compelling opportunity for AI engineers to work with technology in a growing company.

About this role

DataE2E Technologies seeks an AI Engineer experienced in Databricks, Generative AI, and cloud data platforms to develop and integrate AI solutions.

About the Company

DataE2E Technologies specializes in advanced data solutions, focusing on AI and machine learning applications for businesses.

Key Highlights

✓ Expertise in Databricks and cloud-based platforms.
✓ Experience in building RAG-based AI solutions.
✓ Proficient in deploying AI/ML models.
✓ Integration of LLMs into enterprise applications.

💡 Honest Take: This role is ideal for seasoned AI professionals looking to impact enterprise-level applications but may not suit entry-level candidates.

Pros

✓ Work with innovative AI technologies.
✓ Opportunities for professional development.
✓ Engaging projects in a dynamic environment.

Cons

✗ Requires significant experience in specialized areas.
✗ Not suitable for entry-level applicants.
✗ Limited remote work options.

Best For: Ideal for candidates with a strong background in AI and cloud technologies looking for a challenging role.

Watch Out: Candidates should prepare for a competitive selection process as the role demands significant expertise.

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What Customers Say

Employees highlight the innovative work culture and opportunities for growth, though some note the challenge of the required expertise.

Expert Review

The position at DataE2E Technologies is tailored for AI engineers with a foundation in Databricks and cloud data frameworks. Hands-on experience with RAG-based AI solutions is crucial, as this role involves not just development, but also deployment of AI/ML models into real-world applications.

Applicants should note that while the role emphasizes advanced technical skills, the company values innovation and creativity in problem-solving. Integration of LLMs into existing systems is a key responsibility, making this an exciting opportunity for those looking to shape enterprise-level AI implementations.

For professionals in the AI field, this is a chance to work with a team that prioritizes technology and industry best practices. However, the lack of remote work options might deter some candidates seeking flexibility in their roles. Overall, this position offers a chance to make a significant impact in the AI landscape.