# SKM Group — Senior Full Stack AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-06-03 |
| **Company** | SKM Group |
| **Role** | Senior Full Stack AI Engineer |
| **Location** | Remote (EU/UK) |
| **Salary** | £45k–£102k (wide range; lower bound below €80k floor — verify senior band) |
| **Job URL** | [Indeed](https://to.indeed.com/aarp7yf7jtgj) |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Poland (offices across Europe) |
| **Founded** | ~2006 (18 years mentioned in JD) |
| **Employees** | 11–50 |
| **LinkedIn** | — |
| **Website** | — |
| **Blog** | — |

- **Product:** Custom software development — builds scalable platforms for clients using modern AI/GenAI stacks.
- **Customers:** B2B clients across Europe needing custom AI-powered software solutions.
- **Notable:** $5–25M revenue; company apartments in European cities; remote-first culture. Small Polish software house — 18 years experience but modest scale.

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## Job Summary

**What they do:** SKM Group is a Polish software house (11–50 people, ~18 years) delivering custom AI-powered software for European clients.

**The role:** Senior Full Stack AI Engineer (IC), building production GenAI applications — multi-agent frameworks, LangGraph, RAG, and full-stack Python/NodeJS services.

**Core work:**
- Design and develop scalable microservices and AI orchestrators using Python and GenAI frameworks (LangGraph, RAG, Vector Storage)
- Implement production-level Generative AI features from design through QA and deployment
- Build multi-agent pipelines; collaborate with data scientists and DevOps on end-to-end features

**Stack:** Python · LangGraph · RAG · Vector Storage · LLM Fine-tuning · Multi-Agent Frameworks · AWS Lambda · NodeJS · TypeScript · React · SQL · NoSQL

**Work style:** Remote-first; flexible working culture. Company apartments in European cities for in-person collaboration.

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## Score: 70%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 60% | LangGraph ✓, multi-agent frameworks ✓, RAG ✓, agents ✓ — explicit and production-focused. Depth is real but framed as client delivery work, not an AI-native product. |
| Tech fit (25%) | 60% | Python ✓, LangGraph ✓, AWS ✓. Full-stack also requires NodeJS/TypeScript/React — partial gap. |
| Remote fit (25%) | 100% | Fully remote-first; no mandatory office days. |
| Company culture fit (15%) | 40% | Small Polish software house — autonomy and no bureaucracy, but not an AI-native startup. Client project delivery model vs. product ownership. |
| IC/leadership balance (10%) | 90% | IC role with ownership from design to deployment. |
| **Final (weighted)** | **70%** | |

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## Strengths

- Strong agentic stack (LangGraph, multi-agent, RAG, vector storage) — good depth alignment
- Fully remote, no office requirement
- Small team, high autonomy ("large freedom and real influence")
- Python primary ✓

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## Weaknesses & Risks

- **Salary lower bound £45k (≈ €53k)** — well below Luca's €110k target; upper bound £102k (≈ €120k) — need to confirm which band is realistic for senior hire
- **Software house delivery model** — client projects, not product ownership; less mission-driven than AI-native startup
- **Very small company** (11–50 employees) — limited career progression path
- Full-stack requirement includes NodeJS/TypeScript/React — partial stack gap for a Python-primary candidate
- No LinkedIn presence or public website found — limited external validation

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## Suggestions

- Confirm salary range for senior AI engineer before applying — the £102k upper bound is needed to justify proceeding
- Clarify whether this is building an in-house platform vs. client delivery work
- Emphasise LangGraph/multi-agent production experience and Python depth

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## Interview Tracker

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