Senior Artificial Intelligence Engineer

Request Technology, LLC; Chicago (IL); Hybride; USD 140 000 - 160 000; Plein temps

Résumé du poste

Request Technology, LLC is seeking a Senior AI Engineer for AI Research & Engineering in Chicago. The role leads end-to-end agentic AI systems on Anthropic/Claude models and AWS infrastructure, with mentorship for junior engineers in a greenfield environment.

The team designs agent orchestration, integration, and evaluation pipelines, while implementing safeguards against AI-specific risks and ensuring regulatory traceability.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred.
• Strong Python; proficient SQL; solid distributed systems and API design fundamentals.
• Hands-on experience building LLM-powered applications or agentic systems.
• Knowledge of AI risk areas and data privacy, or ability to develop quickly.
• Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals.

Responsabilités

• Own the design and delivery of agentic AI systems end-to-end, from architecture through production deployment.
• Architect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environment.
• Own AI infrastructure supporting AIRE's agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiency.
• Implement safeguards against AI risks, including hallucination detection and prompt injection defense, with AI Governance.
• Build audit logging and human-in-the-loop checkpoints into agentic workflows for traceability.
• Mentor Associate and Senior Associate engineers through code and architecture review.
• Contribute technical perspective to evolving engineering standards and practices.

Connaissances

Python

SQL

distributed systems

API design

LLM

agentic AI

mentoring

Formation

Bachelor’s degree in Computer Science, Engineering, or related

Outils

AWS

Docker

CI/CD

Kubernetes

Terraform

Description du poste

Senior Artificial Intelligence Engineer (AI Research and Engineering)

Salary: $140k-$160k + 15% bonus

Location: Chicago, IL

Hybrid: 3 days onsite, 2 days remote

*We are unable to provide sponsorship for this role*

The AI Research & Engineering (AIRE) team is building the company's first generation of agentic AI capabilities on Anthropic's Claude models and AWS infrastructure. The Senior AI Engineer owns the design and delivery of agentic AI systems end-to-end, mentors junior engineers, and contributes technical judgement on AI application and/or AI infrastructure work in a largely greenfield environment.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related
• 4-7 years of software engineering experience, with production AI/LLM systems experience preferred
• Strong Python; proficient SQL; solid distributed systems and API design fundamentals
• Hands‑on experience building LLM‑powered applications or agentic systems
• Working knowledge of AI‑specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quickly
• Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentals
• Experience mentoring or elevating the work of junior engineers

Nice‑to‑have

• Direct experience with Claude, the Anthropic API, or Claude.ai/Console
• Experience designing agent orchestration or Model Context Protocol (MCP)-based integrations
• Production experience operating LLM‑powered applications or agentic systems at scale
• Kubernetes and infrastructure-as-code (Terraform)
• Background in financial services, derivatives, or other regulated industries
• Exposure to AI security practices such as red‑team­ing or adversarial testing of model inputs and outputs
• Data engineering experience (pipelines, data modeling), particularly for candidates interested in AI infrastructure work

Responsibilities

• Own the design and delivery of agentic AI systems end-to-end, from architecture through production deployment
• Architect agent orchestration patterns, tool and context integration, and evaluation pipelines for reliability in a regulated environment
• Own AI infrastructure supporting AIRE's agents and applications on AWS, and contributes 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
• 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