# Mastercard — Senior Software Engineer (Backend / Platform – Agentic AI)

| Field | Value |
|---|---|
| **Date found** | 2026-05-26 |
| **Company** | Mastercard |
| **Role** | Senior Software Engineer (Backend / Platform – Agentic AI) |
| **Location** | Dublin, Ireland |
| **Salary** | Undisclosed |
| **Job URL** | https://to.indeed.com/aabqbknmqyyf |
| **Status** | New |

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## Company Research

Mastercard already appears in this index (jobs 015, 026). Global payments technology company; 30,000+ employees; Dublin office is a major engineering hub. This role is in the AI & Decision Product Enablement (AI&DPE) team — Mastercard's innovation engine for AI-driven decisioning at global scale.

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## Job Summary

**What they do:** Mastercard's AI&DPE team builds the real-time decisioning platform powering 50+ market-facing products (fraud, risk, analytics) across Mastercard's global network.

**The role:** Senior backend engineer (5–8+ years) building production-grade microservices and agentic AI workflows (LangChain/LangGraph) within Mastercard's AI decisioning platform in Dublin.

**Core work:**
- Build LangChain/LangGraph-based agentic workflows with tool use, RAG, retrieval, and guardrail patterns
- Own full SDLC for microservices: design, implement, CI/CD, monitoring, production support
- Implement evaluation, prompt management, latency/cost controls, and safety guardrails for LLM features

**Stack:** Python · LangChain · LangGraph · REST/gRPC microservices · RAG · Vector search · Docker/Kubernetes · CI/CD

**Work style:** Dublin hybrid; "co-located Agile SCRUM team" — frequency not stated but typical Mastercard Dublin is 2–3 days/week.

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## Score: 62%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 68% | LangChain/LangGraph agentic workflows required; tool use, retrieval, orchestration patterns — solid but implementing within a platform, not architecting it |
| Tech fit (25%) | 82% | Python, LangChain/LangGraph, microservices, RAG, vector search — very strong stack match |
| Remote fit (25%) | 50% | Dublin hybrid; "co-located Agile SCRUM team" implies regular in-office days; frequency unconfirmed |
| Company culture fit (15%) | 30% | Large global corporate (30k+ employees), heavy process, Decency Quotient culture — misalignment with Luca's preference for AI-native startup |
| IC/leadership balance (10%) | 78% | Clear IC individual contributor role; 5–8+ years seniority; no management duties described |
| **Final (weighted)** | **62%** | |

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## Strengths

- LangChain/LangGraph explicitly required — direct tech fit with Luca's current stack
- Real production agentic workload (not pilot) at significant scale across 210+ countries
- Strong Python-first codebase with full SDLC ownership
- Multiple Fenergo alumni at Mastercard Dublin (warm network already)

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## Weaknesses & Risks

- Mastercard has 3 other roles in this index — corporate culture misalignment is a recurring theme
- "Co-located SCRUM team" implies significant in-office presence; hybrid frequency unconfirmed
- Large enterprise pace and process overhead expected
- Salary undisclosed; Mastercard Dublin salaries are competitive but may not reach €130k+ band

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## Suggestions

- Only pursue if other higher-scoring remote options don't materialise; treat as a fallback
- Verify hybrid frequency before applying — ask recruiter for the specific in-office expectation
- Leverage Fenergo alumni network at Mastercard for a warm introduction

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## Interview Tracker

| Stage | Date | Notes |
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| Applied | | |
| Recruiter screen | | |
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