# Awin Global — Senior AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-05-22 |
| **Company** | Awin Global |
| **Role** | Senior AI Engineer (f/m/d) |
| **Location** | European Union — fully remote |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4406489619/ |
| **Status** | New |

---

## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Berlin, Germany |
| **Founded** | 2000 |
| **Employees** | ~1,631; ~1,486 on LinkedIn |
| **LinkedIn** | https://www.linkedin.com/company/awin-global/ — 66,188 followers |
| **Website** | https://www.awin.com |
| **Blog** | https://www.awin.com/us/news/ |

- **Product:** Global affiliate marketing network connecting 30,000+ advertisers with 1M+ publishers across retail, travel, finance, and telecoms.
- **Customers:** E-commerce advertisers and digital publishers worldwide seeking performance-based marketing partnerships.
- **Notable:** Part of Axel Springer and United Internet Groups; generated €19bn in advertiser revenue last year; 4 Bologna alumni on team; engineering team growing at 11% YoY.

---

## Job Summary

**What they do:** Awin Global operates a global affiliate marketing platform and is building a shared AI platform layer to enable engineering teams across the company to develop and ship AI-powered products.

**The role:** Senior IC platform engineer on the AI Platform Team, owning the foundations layer — shared services, internal SDKs/APIs, observability, and production-readiness patterns that other teams rely on for AI development.

**Core work:**
- Design and build reusable AI platform capabilities: internal APIs, SDKs, reference architectures, and shared services
- Improve reliability, observability (tracing, monitoring, debugging), and release engineering for AI workloads
- Define production-ready standards for LLM-enabled systems including RAG architectures, agent workflow patterns, evaluation frameworks, and guardrails

**Stack:** Python · JavaScript/TypeScript · Azure / AWS · LLM APIs · CI/CD · LangSmith (nice-to-have) · Vector databases

**Work style:** Fully remote EU; Flexi-Week (4-day week at full pay). No office expectation stated.

---

## Score: 56%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 30% | Platform infrastructure role enabling agentic workflows — builds the layer others use for agents/RAG, but is not itself hands-on agentic AI development. |
| Tech fit (25%) | 45% | Python, AWS, LLM APIs match; no LangGraph/LangChain/CrewAI explicitly named; more platform/DevOps than ML/agents. |
| Remote fit (25%) | 100% | Fully remote EU; 4-day Flexi-Week is a standout perk. |
| Company culture fit (15%) | 30% | 20-year-old affiliate marketing company, not AI-native; decent engineering growth but traditional domain. |
| IC/leadership balance (10%) | 80% | Clearly IC platform engineering with optional mentoring; no management. |
| **Final (weighted)** | **56%** | Passes threshold; main risk is weak agentic AI depth — platform infra role, not frontline agent development. |

---

## Strengths

- Fully remote EU with 4-day Flexi-Week — exceptional work-life flexibility
- Platform ownership is broad and IC: defining shared AI architecture, not just contributing to one feature
- LLM observability, RAG, and agent workflow architecture are directly in scope
- 4 Bologna alumni on team — warm network potential

---

## Weaknesses & Risks

- ⚠️ Salary undisclosed — verify before investing time; adtech company may be below €110k target
- Core work is AI platform infrastructure, not frontline agentic AI development — lower agentic depth than ideal
- Awin is a traditional marketing company (affiliate network) — not AI-native, slower-moving culture likely
- No LangGraph/LangChain/CrewAI explicitly in stack — less direct overlap with Luca's strongest skills
- 67 applicants already clicked apply

---

## Suggestions

- Lead with AI platform design experience from Fenergo (defining agent architecture standards, cross-team enablement)
- Verify salary range before applying — Polish/non-UK European base may be below €110k
- Ask about hands-on vs. standards/guidance split: how much time is actual coding vs. documentation and advisory work?

---

## Interview Tracker

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