Full Stack Tools Engineer

Scale-Up Environment

Permanent

Flexible Hybrid: 1 days per week in Dublin 2 (more if you like)

The Goal

Join and build with a brand-new Internal Tools Development team that modernises how the business operates day-to-day: creating Python, SQL, ML and LLM-powered systems that help Capital Markets teams move faster, reduce operational risk, and make better decisions.

The Role

As an Full Stack Engineer (Python / SQL / ML / LLMs), you’ll design and ship internally-facing tools used by front office, middle office, risk, operations, and finance. Iteration will be quick so you will see the results of your work quickly.

You’ll work end-to-end: discovering problems with stakeholders, building robust data-backed services, integrating LLM capabilities safely, and deploying to production with proper testing, monitoring, and controls.

You’ll build things like:

Workflow automation tools for trade lifecycle, reconciliations, and exception management

Data quality and lineage utilities for critical reporting feeds

ML-driven monitoring and anomaly detection for operational/risk signals

LLM-enabled assistants for internal knowledge, documentation, and “how do I…?” workflows (with guardrails)

Search \& RAG systems over internal docs, tickets, and runbooks to reduce time-to-resolution

The Team

You’ll partner closely with Engineering, Data, Risk, Operations, and Compliance. This team will operate like a product team: high ownership, clear outcomes, and real users

You

5+ years’ experience building production software/data systems (Python-heavy).

Strong Python engineering fundamentals (APIs/services, testing, CI/CD, clean architecture).

Strong SQL skills and experience working with large, messy, business-critical datasets.

Experience building ML/analytics components (e.g., classification, anomaly detection, forecasting) and putting them into real workflows.

Proven hands-on experience integrating LLMs into applications (prompting patterns, RAG, evaluation, safety/guardrails).

Comfort operating in regulated environments: auditability, access controls, data handling, and change management.

Clear communicator who can translate between business problems and technical delivery.

Desirable

Experience in Capital Markets domains (trading, post-trade, risk, valuations, market/reference data).

Familiarity with vector databases, embeddings, and retrieval tooling.

Exposure to model monitoring/evaluation, prompt testing, and AI governance approaches.

Experience building internal platforms/tools used by multiple teams (developer experience, documentation, support).

The Offer

100-120k base salary (depending on experience)

20% bonus

Pension, health

Process

3 stages: initial call with me, technical Zoom interview with the hiring manager, final onsite with key stakeholders