# Version 1 — AI Engineer

| Field | Value |
|---|---|
| **Date found** | 2026-06-01 |
| **Company** | Version 1 |
| **Role** | AI Engineer |
| **Location** | Dublin, Ireland (Flexible/Remote) |
| **Salary** | Undisclosed |
| **Job URL** | https://www.linkedin.com/jobs/view/4400844077/ |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | Dublin, Ireland |
| **Founded** | 1996 |
| **Employees** | 3,300–4,000 (3,935 on LinkedIn) |
| **LinkedIn** | linkedin.com/company/version-1 — 359k followers |
| **Website** | version1.com |
| **Blog** | version1.com/blog/ |

- **Product:** IT services and digital transformation consultancy; Oracle, Microsoft, AWS, and Red Hat partner delivering managed services, cloud migration, and AI solutions for enterprise clients.
- **Customers:** Global enterprise clients across financial services, public sector, and insurance; 30+ years serving UK and Ireland markets.
- **Notable:** €350m revenue, 30 years in business; award-winning employer (11x Great Place to Work Ireland & UK); recently opened AI Studio in Dublin.

Indeed rating: 3.9/5 (culture 3.7, WLB 3.7)

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## Job Summary

**What they do:** IT services and digital transformation consultancy delivering AI-powered solutions for enterprise clients using Microsoft, AWS, Oracle, and open-source AI frameworks.

**The role:** Mid/Senior AI Engineer building and integrating multi-agent LLM systems into enterprise applications, with full-stack ownership from backend services to front-end interfaces.

**Core work:**
- Build and integrate multi-agent systems using Semantic Kernel, LangChain, or similar frameworks
- Design backend AI-powered services alongside front-end interfaces (React/Vue) for GenAI applications
- Apply MLOps practices for model deployment, monitoring, and lifecycle management; mentor junior engineers

**Stack:** Python · PyTorch · TensorFlow · LangChain · Semantic Kernel · React · Vue.js · TypeScript · Azure ML · AWS SageMaker · REST/GraphQL · Docker · Kubernetes

**Work style:** Dublin-based with flexible/remote working; exact on-site frequency unspecified — "tremendously understanding of life events." Possible client-site assignments as IT consultancy. 2 Fenergo alumni on team.

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## Score: 57%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 50% | Multi-agent systems with Semantic Kernel/LangChain explicitly required — genuine agentic AI work, but delivered in a consulting/client-services context rather than product engineering |
| Tech fit (25%) | 60% | LangChain, Python, PyTorch, AWS/Azure — solid overlap; Semantic Kernel is Microsoft-centric (not primary target stack); full-stack requirement is broader than ideal |
| Remote fit (25%) | 65% | "Flexible/remote working" stated in benefits but work arrangement not explicitly defined as remote; consulting firm dynamics may require client-site presence; uncertainty flagged |
| Company culture fit (15%) | 35% | Large IT consultancy (3,300+ employees), consulting model means working on client deliverables rather than own product; bureaucracy risk; 11x GPTW recognition is positive |
| IC/leadership balance (10%) | 75% | IC engineering role with junior mentoring, no people management required |
| **Final (weighted)** | **57%** | |

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## Strengths

- Multi-agent and LangChain work is explicitly required — genuine agentic AI scope
- Flexible/remote working policy; Fenergo alumni connection
- Strong professional development investment (AWS/Azure/Microsoft certifications)
- Quarterly profit share scheme

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## Weaknesses & Risks

- ⚠️ Salary undisclosed — large IT consultancy may not match target €110k+
- Consulting model: work driven by client projects, not own product
- Location policy unclear — "flexible" could still mean frequent Dublin client site visits
- Full-stack expectation (React/Vue) requires front-end skills not in core profile
- Microsoft/Semantic Kernel stack is outside preferred Anthropic/LangGraph ecosystem

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## Suggestions

- Clarify remote policy and whether client site visits are required
- Ask for salary range early — consulting firm compensation can vary widely
- Emphasise Python/LLM/agentic background; de-emphasise frontend gap
- 2 Fenergo alumni are a warm intro opportunity

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Expired | 2026-06-07 | Posting expired — no longer accepting applications |
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |