Summary
✨ AI‑Generated
An AI engineer with strong LLM experience is sought to architect and deliver agentic AI systems from design through production. Responsibilities include agent orchestration, tool and context integration, evaluation pipelines, AWS-based infrastructure, AI safeguards, auditability, and human-in-the-loop controls, along with mentoring other engineers.
Highlights
Bonus-eligible role focused on end-to-end agentic AI engineering, modern AI infrastructure, reliability and safety controls, and technical mentorship within a regulated environment.
Description
***Position is bonus eligible***
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 environmentAI infrastructure supporting agents and applications on AWS, and contribute to the team's growing infrastructure self-sufficiencyImplement technical safeguards against AI-specific risks, including hallucination detection, prompt injection defense, and output validation, in collaboration with AI Governance functionBuild audit logging and human-in-the-loop checkpoints into agentic workflows so agent actions remain traceable and reviewable in a regulated environmentMentor Associate and Senior Associate engineers through code and architecture reviewContribute technical point of view to the team's evolving engineering standards and practices, in partnership with the Executive DirectorQualifications:
Experience mentoring or elevating the work of junior engineersDemonstrated ownership of production systems from design through deploymentAbility to work effectively in a still-forming, fast-moving team environmentThis 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 preferred4-7 years of software engineering experience, with production AI/LLM systems experience preferredTechnical Skills:
Required: Strong Python; proficient SQL; solid distributed systems and API design fundamentalsRequired: Hands-on experience building LLM-powered applications or agentic systemsRequired: Working knowledge of AI-specific risk areas (prompt injection, output validation, hallucination mitigation, data privacy), or demonstrated ability to build this expertise quicklyRequired: Cloud infrastructure experience (AWS preferred); comfort with Docker, CI/CD, and containerization fundamentalsPreferred: Direct experience with Claude, the Anthropic API, or Claude.ai/ConsolePreferred: Experience designing agent orchestration or Model Context Protocol (MCP)-based integrationsPreferred: Production experience operating LLM-powered applications or agentic systems at scalePreferred: Kubernetes and infrastructure-as-code (Terraform)Preferred: Background in financial services, derivatives, or other regulated industriesPreferred: Exposure to AI security practices such as red-teaming or adversarial testing of model inputs and outputsPreferred: Data engineering experience (pipelines, data modeling), particularly for candidates interested in AI infrastructure work
