Position Details
About this role
Senior AI Engineer responsible for hosting foundation models and LLM inference, building scalable AI infrastructure, and advancing AI capabilities across banking platforms.
Key Responsibilities
- Partner with cross-functional teams to deliver AI-powered products
- Design, develop, test, deploy AI components including LLM inference
- Leverage Open Source/SaaS AI tech like AWS Ultraclusters and VectorDBs
- Develop state-of-the-art LLM optimization techniques
- Contribute to long-term AI foundation systems roadmap
Technical Overview
Hands-on with Python/Go/Scala/Java and ML stack (PyTorch, Huggingface, VectorDBs); experience with AWS/GCP/Azure; focus on training/inference optimization, guardrails, governance, and observability.
Ideal Candidate
The ideal candidate is a senior AI engineer with 6+ years of AI/ML experience (4+ with a master’s) who can lead LLM inference projects, optimize model performance, and mentor a team across multi-location sites.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Clearance & Visa
Keywords for Your Resume
Deal Breakers
No work authorization sponsorship, Lack of proficiency in core ML stacks (Python, PyTorch, etc.)
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile