Senior Production AI Agent Engineer

HS Financial Technologies; Cork; Hybrid; EUR 120,000 - 160,000; Full time

Benefits offered by this job

Full private medical insurance

Permanent health insurance/income

Life insurance

Employee Assistance Programme

Defined contribution pension scheme

Competitive annual holiday entitlement

Annual professional membership fee Re-

Discretionary annual bonus

Employee Referral Program

Remote/hybrid working opportunities

Tuition support for professional 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, controls, evaluation, and observability, ensuring secure, auditable, and scalable solutions.

You will bring strong software engineering skills, hands-on production LLM experience, and a track record of delivering reusable patterns across engineering teams, while collaborating across

Qualifications

• Bachelor’s degree in a relevant technical field or equivalent practical experience.
• 5+ years of software engineering experience, including at least 1 year delivering LLM or agent-based applications in production.
• Strong Python, API design, asynchronous processing, automated testing, source control, and AWS engineering skills; experience with a managed model platform such as Amazon Bedrock or an equivalent service.
• 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; and separate model reasoning from deterministic controls.
• 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

API design

Asynchronous processing

Automated testing

AWS engineering

Troubleshooting

Cross-functional collaboration

Education

Bachelor’s degree or equivalent practical experience

Tools

Amazon Bedrock

Containers

CI/CD

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, controls, evaluation, and observability, ensuring secure, auditable, and scalable solutions.

You will bring strong software engineering skills, hands-on production LLM experience, and a track record of delivering reusable patterns across engineering teams, while collaborating across