Position Details
About this role
This role involves designing and deploying end-to-end AI products, focusing on large language models, prompt engineering, and scalable AI infrastructure within a cloud-native environment.
Key Responsibilities
- Design AI products and deployment pipelines
- Own AI workflow architecture
- Develop backend services and APIs
- Translate finance problems into AI solutions
- Ensure performance, security, and governance
Technical Overview
The technical environment includes Python, SQL, LLM frameworks like OpenAI and Llama, cloud-native architectures, containers, and MLOps practices for scalable AI deployment.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with extensive hands-on experience in large language models, MLOps, and cloud-native deployment. They possess strong programming skills in Python and SQL, with a deep understanding of scalable AI systems and prompt engineering.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Large Language Models, No hands-on ML deployment experience, No knowledge of MLOps concepts, Limited programming skills in Python or SQL
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