Senior AI Agent Runtime Engineer (Remote/Hybrid)

HS Financial Technologies; Dublin; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Private medical insurance

Permanent health insurance / income

Life insurance

Employee Assistance Programme

Pension scheme with employer matching

Competitive holiday entitlement

Annual professional membership fee Re.

Discretionary annual bonus

Remote/hybrid working opportunities

Tuition support for exams

Job summary

HS Financial Technologies is seeking an experienced AI Engineer to design, build, and operate production AI agents for financial operations and enterprise workflows. You will own the agent runtime, orchestration, memory, tool execution, and safety controls in a production environment.

You will bring strong software engineering skills, hands-on production LLM experience, and architecture judgment, establishing reusable patterns for HSFT engineering teams and ensuring secure, auditable deployments.

Qualifications

• Bachelor’s degree in a relevant technical field or equivalent practical experience.
• 5+ years of software engineering experience, including 1+ year delivering LLM/agent-based applications in production.
• Strong Python, API design, asynchronous processing, automated testing, source control, and AWS engineering skills.
• Hands-on experience implementing agent loops, context assembly, retrieval, memory, tool selection and limits, durable state, checkpoints, retries, and idempotency.
• Ability to build regression evaluations for outcomes, evidence, and tool paths; enforce least-privilege tool access and prompt-injection defenses.
• Strong troubleshooting, analytical, communication, and cross-functional collaboration skills.

Responsibilities

• Runtime: Design, deploy, and support reliable production runtimes for AI agents serving financial operations and enterprise workflows.
• Orchestration: Build and extend agent loops, including context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation.
• Controls: Enforce authorization, human approvals, policy checks, validation, checkpoints, idempotency, retries, and exception handling throughout agent workflows.
• Enterprise integration: Build validated, auditable tool and system interfaces with least-privilege permissions, prompt-injection defenses, and controls outside the model that isolate reasoning from deterministic execution.
• Evaluation: Build repeatable tests and regression suites for agent outcomes, supporting evidence, and tool-execution paths; diagnose quality, safety, failures, latency, and cost.
• Observability: Monitor and troubleshoot production agents, maintain audit evidence, and turn operational findings into reusable engineering standards.

Skills

Python programming

API design

Asynchronous processing

Automated testing

Source control

AWS engineering

LLM/agent production

Troubleshooting

Communication

Education

Bachelor’s degree or equivalent practical experience

Tools

Amazon Bedrock

AWS

CI/CD

Infrastructure as Code

Containers

Observability platforms

Job description

HS Financial Technologies is seeking an experienced AI Engineer to design, build, and operate production AI agents for financial operations and enterprise workflows. You will own the agent runtime, orchestration, memory, tool execution, and safety controls in a production environment.

You will bring strong software engineering skills, hands-on production LLM experience, and architecture judgment, establishing reusable patterns for HSFT engineering teams and ensuring secure, auditable deployments.