Senior Agentic AI – Harness Engineer

Job not on LinkedIn

🕒 5 days ago

🇮🇪 Ireland – Remote

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HedgeServ

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💳 Fintech

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2009-03

Fintech • SaaS • B2B

HedgeServ is a technology-driven provider of operations and fund administration services for alternative investment managers, recently rebranded as HS Financial Technologies (HSFT). The company combines proprietary, unified technology with embedded operational expertise to deliver front- and middle-office solutions—fund accounting, investor services, financial reporting, regulatory compliance, tax, portfolio/order management and automated reconciliations—for private equity, private credit, hedge funds, real estate, endowments, BDCs/REITs and multi-asset managers. HSFT emphasizes customizable, automated workflows and transparency to reduce operational drag and accelerate capital decisions; it reports roughly $900B AUA, ~2. 5K professionals worldwide, and 14 global offices.

📋 Description

• Design, build, and operate production AI agents for financial operations and enterprise workflows • Design, deploy, and support reliable production runtimes for AI agents • Build and extend agent loops, including context assembly, retrieval, memory, tool selection, execution limits, workflow state, and response validation • Enforce authorization, human approvals, policy checks, validation, checkpoints, idempotency, retries, and exception handling • Build validated, auditable tool and system interfaces with least-privilege permissions and prompt-injection defenses • Isolate model reasoning from deterministic execution through controls outside the model • Build repeatable tests and regression suites for agent outcomes, supporting evidence, and tool-execution paths • Diagnose quality, safety, failures, latency, and cost • Monitor and troubleshoot production agents • Maintain audit evidence and turn operational findings into reusable engineering standards • Partner across engineering, security, data, and operations to move AI solutions into production • Establish reusable patterns for HSFT engineering teams

🎯 Requirements

• Bachelor’s degree in a relevant technical field or equivalent practical experience • 5+ years of software engineering experience • 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 • Ability to enforce least-privilege tool access and prompt-injection defenses • Ability to separate model reasoning from deterministic controls • Strong troubleshooting, analytical, communication, and cross-functional collaboration skills • Experience in financial services or another regulated or highly controlled environment preferred • Experience with model or tool gateways and interoperability protocols such as MCP, plus multi-agent systems and durable workflow engines preferred • Knowledge of secure tool execution, containers, infrastructure as code, CI/CD, and observability platforms preferred • Familiarity with responsible AI, governance, model risk management, and regulatory controls preferred • Experience building shared AI platforms, mentoring engineers, or establishing reusable engineering standards preferred • Relevant certifications in AWS, cloud engineering, AI, security, or data preferred

🏖️ Benefits

• Flexible working arrangements • Comprehensive health and well-being benefits • Structured development programs • Leadership opportunities and clear paths for growth • Full private medical insurance • Permanent health insurance/income protection • Life insurance • Employee Assistance Programme for employee and immediate family • Defined contribution pension scheme with competitive employer contributions • Competitive annual holiday entitlement • Annual professional membership fee reimbursement • Club/gym subsidy • Discretionary annual bonus scheme • Employee Referral Program • Remote/hybrid working opportunities, or from the office • Tuition support for relevant professional qualification exams, including paid study and exam leave • Sports and Social Club

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