3 days ago
Cork, Ireland or Dublin, IrelandSenior
Responsibilities
- Design, deploy, and support reliable production runtimes for AI agents serving financial operations and enterprise workflows.
- Build agent loops covering context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation.
- Implement authorization, human approvals, policy checks, validation, checkpoints, idempotency, retries, and exception handling.
- Create validated and auditable tool and system interfaces with least-privilege permissions, prompt-injection defenses, and deterministic controls outside the model.
- Build regression evaluations for agent outcomes, supporting evidence, and tool-execution paths, while diagnosing quality, safety, failures, latency, and cost.
- Monitor and troubleshoot production agents, maintain audit evidence, and establish reusable engineering standards for other teams.
Requirements
- Bachelor’s degree in a relevant technical field or equivalent practical experience.
- At least 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 with agent loops, context assembly, retrieval, memory, tool selection and limits, durable state, checkpoints, retries, and idempotency.
- Ability to build regression evaluations, 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.
- Preferred experience in financial services or other regulated environments, model or tool gateways such as MCP, multi-agent systems, durable workflow engines, secure tool execution, containers, infrastructure as code, CI/CD, observability platforms, responsible AI, governance, model risk management, regulatory controls, shared AI platforms, mentoring, or reusable engineering standards.
- Relevant certifications in AWS, cloud engineering, AI, security, or data are preferred.
Benefits
- Full private medical insurance, permanent health insurance or income protection, and life insurance.
- Employee Assistance Programme for employees and their immediate families.
- Defined contribution pension scheme with competitive employer contributions.
- Competitive annual holiday entitlement.
- Annual professional membership fee reimbursement and a club or gym subsidy.
- Discretionary annual bonus scheme and Employee Referral Program.
- Remote or hybrid working opportunities, or the option to work from the office.
- Tuition support for relevant professional qualification exams, including paid study and exam leave.
- Sports and Social Club.
Categories
About HedgeServ
HedgeServ provides fund administration and middle- and back-office services for alternative asset managers, delivered through a proprietary platform plus staffed operations. Offerings span fund accounting, investor services, risk and compliance, data aggregation, and portfolio reporting across hedge funds, private equity, private credit, real estate, and other vehicles. Founded in 2008 and headquartered in Dallas, it is privately held with more than $700 billion in assets under administration and offices across North America, Europe, and Asia-Pacific.