ML Engineer

T1; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

T1 is seeking an ML Engineer to design AI agents for banking applications and build GenOps platforms for self-service backend services using REST and gRPC. You will ensure high-quality AI systems with robust monitoring, implement unit tests, review code, and scale solutions for reliability while collaborating with frontend developers if you have full-stack experience.

The role emphasizes reliability, scalability, and integration with existing systems in the banking domain, requiring strong

Qualifications

• Strong background in Python programming.
• Experience with LLM frameworks.
• Experience designing and implementing AI agents for production.
• Familiarity with REST and gRPC services.

Responsibilities

• Design and implement AI agents for banking tasks.
• Develop GenOps platforms enabling self-service backend services.
• Design quality monitoring systems and perform code reviews.
• Write unit tests and ensure high availability and scalability.
• Collaborate with frontend and other engineering teams.

Skills

Python

LLM frameworks

REST & gRPC

AI agent design

Tools

REST

gRPC

Job description

T1 is seeking an ML Engineer to design AI agents for banking applications and develop GenOps platforms. Candidates should have a strong background in Python and experience with LLM frameworks.

In this role, you will be responsible for designing and implementing AI agents tailored for banking tasks, enhancing operational efficiency through automation. You will also develop GenOps platforms that facilitate self-service backend services using REST and gRPC, ensuring seamless integration with existing systems.

The position demands a focus on quality monitoring systems for AI agents, requiring you to conduct code reviews, optimize code, and implement unit tests. You will work with LLM-based systems, prioritizing high availability and scalability while collaborating with frontend developers if you have full-stack experience.