AI Engineer
Applied Data Finance
Join Applied Data Finance as an AI Engineer to design and deploy AI/ML applications, including RAG-based applications and AI assistants.
Last checked on June 14, 2026. We may earn a commission when you click through.
If you're eager to work with AI technologies in a collaborative environment, this position could be a great fit.
AI Engineer
Applied Data Finance
Updated 5 days agoYou'll be redirected to in.talent.com
If you're eager to work with AI technologies in a collaborative environment, this position could be a great fit.
About this role
Join Applied Data Finance as an AI Engineer to design and deploy AI/ML applications, including RAG-based applications and AI assistants.
About the Company
Applied Data Finance focuses on innovative financial solutions leveraging data science and AI technologies.
Key Highlights
- ✓ Work on scalable AI, ML, and Generative AI solutions.
- ✓ Design and develop AI/ML applications and services.
- ✓ Build RAG-based applications and agentic workflows.
- ✓ Collaborate within a passionate product engineering team.
💡 Honest Take: This role is ideal for engineers enthusiastic about AI and machine learning, but may not suit those looking for a fully remote position.
Pros
- ✓ Opportunity to work on innovative AI projects.
- ✓ Collaborative team environment.
- ✓ Focus on scalable AI solutions.
Cons
- ✗ Position is not remote.
- ✗ Specific salary range not disclosed.
- ✗ Location may limit local talent pool.
Best For: This position is for individuals with a strong interest in AI development and a desire to work in a dynamic team.
Watch Out: Candidates should be prepared for an on-site role in Kanpur, which may not appeal to everyone.
You'll be redirected to in.talent.com
Expert Review
This AI Engineer position at Applied Data Finance offers a unique chance to engage with advanced AI technologies. The focus is on creating scalable AI solutions, which is increasingly critical in today's tech landscape.
Working on projects like RAG-based applications and AI assistants, engineers will find themselves at the forefront of innovation. The collaborative environment is a significant plus, fostering creativity and teamwork.
However, the role is not remote, which could deter some candidates. Those who prefer flexibility in their work location might want to consider this before applying. the absence of a disclosed salary range could raise questions for potential applicants.
Overall, the opportunity to contribute to meaningful AI projects makes this role appealing for tech enthusiasts. For more details, interested candidates can visit the official listing at Applied Data Finance's page.
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