# Glue.digital — Technical Lead / AI Systems Architect

| Field | Value |
|---|---|
| **Date found** | 2026-05-28 |
| **Company** | Glue.digital |
| **Role** | Technical Lead / AI Systems Architect |
| **Location** | Spain (EU Remote) |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4416261108/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Spain |
| **Founded** | — |
| **Employees** | 11–50 |
| **LinkedIn** | — |
| **Website** | glue.digital |
| **Blog** | — |

- **Product:** Digital product studio specialising in AI-native solutions and agentic systems for enterprise clients
- **Customers:** Enterprise clients requiring bespoke AI platform builds
- **Notable:** Small specialist studio (11–50 employees); building greenfield agentic AI platforms for clients; strong LangGraph/LlamaIndex focus

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## Job Summary

**What they do:** Glue.digital is a digital product studio building AI-native solutions, with a focus on multi-agent architectures and knowledge graph systems for enterprise clients.

**The role:** Senior IC Technical Lead/Architect owning the design and implementation of a greenfield agentic AI platform, including multi-agent orchestration, RAG pipelines, and knowledge graph integration.

**Core work:**
- Architect and build a production multi-agent orchestration platform using LangGraph and LlamaIndex
- Design RAG pipelines with hybrid vector + graph retrieval (pgvector, Neo4j)
- Define AI infrastructure patterns and lead technical decision-making across the platform

**Stack:** LangGraph · LlamaIndex · LangChain · RAG pipelines · Vector DBs · Python · FastAPI · Neo4j · Knowledge graphs · pgvector · Multi-agent orchestration

**Work style:** Fully remote (EU-wide, based in Spain); greenfield build — no legacy constraints

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## Score: 87%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 90% | Genuine multi-agent orchestration platform design with LangGraph — core agentic AI architecture ownership |
| Tech fit (25%) | 85% | Direct stack match: LangGraph, LlamaIndex, LangChain, RAG, vector DBs, Python, FastAPI — strong overlap throughout |
| Remote fit (25%) | 100% | Fully remote EU-wide — perfect fit |
| Company culture fit (15%) | 65% | Small studio (11–50) signals autonomy and speed; client-delivery model introduces some uncertainty on culture depth |
| IC/leadership balance (10%) | 80% | Technical Lead framing with explicit hands-on architecture and implementation; some client-facing coordination expected |
| **Final (weighted)** | **87%** | |

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## Strengths

- Greenfield agentic AI platform — no legacy constraints, direct ownership of architecture from day one
- Deepest stack match of all new jobs: LangGraph + LlamaIndex + RAG + knowledge graphs + pgvector
- Fully remote EU-wide, small agile studio — fast-moving, low-bureaucracy signals

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## Weaknesses & Risks

- Salary undisclosed — significant unknown given €100k+ floor
- Job description appears to be in Spanish — may indicate Spain-centric communication style or team
- Very small company (11–50): limited career ladder, potential resource constraints, client-delivery model means shifting priorities
- No information on equity, benefits, or growth plans

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## Suggestions

- Lead with the Fenergo agentic document parser as direct evidence of production multi-agent system ownership
- Emphasise LangGraph orchestration experience and knowledge base/RAG pipeline design from consulting period
- Clarify salary and remote policy (EU-wide vs Spain-timezone preference) before committing time to process
- Confirm whether "Technical Lead" implies any people management — the role reads as IC architect but should be verified

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Rejected | 2026-05-28 | Too small company, doesn't seem serious |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |