# EXL — Senior Engineer, Applied AI

| Field | Value |
|---|---|
| **Date found** | 2026-05-29 |
| **Company** | EXL |
| **Role** | Senior Engineer, Applied AI |
| **Location** | Dublin, Ireland — Hybrid |
| **Salary** | Undisclosed |
| **Job URL** | https://to.indeed.com/aanmqb8ltw48 |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | New York, NY, USA |
| **Founded** | 1999 |
| **Employees** | 60,000+ |
| **LinkedIn** | https://www.linkedin.com/company/exl-service/ — 2.2M+ followers, 58k+ on LinkedIn |
| **Website** | exlservice.com |
| **Blog** | — |

- **Product:** Global data and AI services company — digital transformation, analytics, AI solutions across insurance, healthcare, banking, and financial services
- **Customers:** World's leading corporations in insurance, healthcare, banking, financial services, media, and retail
- **Notable:** NASDAQ-listed (EXLS); 60,000+ employees across 6 continents; AI Innovation and R&D division building frontier agentic capabilities

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## Job Summary

**What they do:** EXL harnesses data, AI, and deep industry knowledge to transform businesses — building advanced agentic AI systems and digital solutions for enterprise clients.

**The role:** Senior IC in EXL's AI Innovation and R&D team, building and productionising Generative AI and Agentic AI capabilities for client-facing initiatives and internal accelerators.

**Core work:**
- Build production-grade agentic systems end-to-end — stateful workflows, planning, tool use, memory, escalation, MCP connectors
- Implement RAG systems with hybrid retrieval, reranking, and robust context assembly; treat evaluation as engineering discipline
- Instrument full LLMOps/AgentOps tracing (trajectory, cost, latency, drift alerting) and use agentic coding tools (Claude Code, AGENTS.md/CLAUDE.md patterns)

**Stack:** Python · LangGraph · LangChain · CrewAI · MCP · Claude Code · FastAPI · Kafka · Airflow · Docker · Kubernetes · Milvus · Pinecone · Weaviate

**Work style:** Dublin Hybrid — "flexible hybrid working"; client-facing delivery environment

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## Score: 72%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 88% | Production-grade agentic AI engineering — stateful workflows, MCP connectors, multi-agent, evaluation-as-engineering, CLAUDE.md patterns. Top-tier agentic depth. |
| Tech fit (25%) | 88% | LangGraph, LangChain, CrewAI, Claude Code, AGENTS.md/CLAUDE.md, Python, FastAPI, Docker/K8s, RAG, vector DBs — near-perfect stack overlap with target profile |
| Remote fit (25%) | 50% | Dublin Hybrid with "flexible" description; frequency unknown |
| Company culture fit (15%) | 52% | Large consulting firm (60k+ employees) — enterprise pace, client-facing delivery culture; not AI-native startup |
| IC/leadership balance (10%) | 80% | IC with strong ownership; some expectation to contribute to patents, whitepapers, and reusable accelerators |
| **Final (weighted)** | **72%** | |

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## Strengths

- Exceptional stack match — LangGraph, CrewAI, MCP, Claude Code, CLAUDE.md/AGENTS.md all explicitly called out; mirrors Luca's exact tool profile
- Genuinely deep agentic AI work: stateful workflows, multi-agent, evaluation-as-engineering, LLMOps/AgentOps, self-evolving loops
- Innovation and R&D team — more interesting work than typical consulting delivery
- Fenergo alumni connection (1 person hired from Fenergo)
- Explicit encouragement for patents, whitepapers — good career development signal

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## Weaknesses & Risks

- **Posted March 5, 2026 — nearly 3 months old.** May already be filled; verify before applying.
- Large enterprise consulting culture (60k+ employees) — may feel bureaucratic compared to AI-native startup
- Salary undisclosed; EXL's compensation may be below market for this specialisation
- Client-facing delivery demands may reduce time for deep technical work
- ⚠️ Potential duplicate of #012 (EXL Senior Lead AI Engineer, same company, similar AI engineering function)

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## Suggestions

- Verify role is still open before investing time — 3-month-old posting in a hot market is a red flag
- Lead with Claude Code / Anthropic API / CLAUDE.md experience — this JD is one of the most explicit about these tools
- Emphasise production agentic systems and evaluation framework experience
- Ask about team structure within AI Innovation and R&D vs. client delivery

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |