Artificial Intelligence AI LLM Engineer

***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 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