Artificial Intelligence AI LLM Engineer

Request Technology, LLC; Chicago (IL); On-site; USD 140,000 - 170,000; Full time

Job summary

Prestigious Financial Institution is seeking an AI Engineer with strong LLM experience to design and deliver agentic AI systems from architecture to production deployment.

You will architect agent orchestration, integrate tools, and build reliable evaluation pipelines in a regulated environment, while growing our AWS-based AI infrastructure. Mentoring junior engineers and guiding engineering standards are core aspects of the role.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred.
• Experience mentoring or elevating the work of junior engineers.
• Ability to work effectively in a still-forming, fast-moving team environment.
• Not eligible for employment sponsorship now or in the future.

Responsibilities

• Architect agent orchestration patterns and tool/context integration for reliability in a regulated environment.
• Build AI infrastructure on AWS and contribute to infrastructure self-sufficiency.
• Implement safeguards against AI risks including hallucination detection and prompt injection defense.
• Create audit logging and human-in-the-loop checkpoints for traceability.
• Mentor Associate and Senior Associate engineers through code and architecture reviews.
• Contribute to engineering standards and practices with leadership.

Skills

Python

SQL

Distributed systems

API design

LLM applications

Mentoring

AWS

Docker

Kubernetes

Education

Bachelor's degree in Computer Science, Engineering, or related field

Master's degree preferred

Tools

Claude API

Terraform

Model Context Protocol (MCP)

Job description

Prestigious Financial Institution is currently seeking an Artificial Intelligence Engineer with strong LLM experience Candidate will be responsible for the design and delivery of agentic AI systems end-to-end, from architecture through production deployment.

Responsibilities:

• Architect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environment
• AI infrastructure supporting agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiency
• Implement technical safeguards against AI-specific risks, including hallucination detection, prompt injection defense, and output validation, in collaboration with AI Governance function
• Build audit logging and human-in-the-loop checkpoints into agentic workflows so agent actions remain traceable and reviewable in a regulated environment
• Mentor Associate and Senior Associate engineers through code and architecture review
• Contribute technical point of view to the team's evolving engineering standards and practices, in partnership with the Executive Director

Qualifications:

• Experience mentoring or elevating the work of junior engineers
• Demonstrated ownership of production systems from design through deployment
• Ability to work effectively in a still-forming, fast-moving team environment
• This position is not eligible for employment be legally authorized to work in the United States without the need for sponsorship now or in the future.
• Bachelor's degree in Computer Science, Engineering, or a related technical field; Master's preferred
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred

Technical Skills:

• Required: Strong Python; proficient SQL; solid distributed systems and API design fundamentals
• Required: Hands-on experience building LLM-powered applications or agentic systems
• Required: Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly
• Required: Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals
• Preferred: Direct experience with Claude, the Anthropic API, or Claude.ai/Console
• Preferred: Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations
• Preferred: Production experience operating LLM-powered applications or agentic systems at scale
• Preferred: Kubernetes and infrastructure-as-code (Terraform)
• Preferred: Background in financial services, derivatives, or other regulated industries
• Preferred: Exposure to AI security practices such as red-teaming or adversarial testing of model inputs and outputs
• Preferred: Data engineering experience (pipelines, data modeling), particularly for candidates interested in AI infrastructure work