About the project (description, duration, stage)

The client is a group of iGaming companies (multiple game studios and providers, incl. slot-game studios) whose shareholders engaged Neurons Lab to accelerate AI adoption across the whole group - not just one studio. We have completed the assessment phase (interviews and workshops across studios), delivered a working prototype for AI-assisted game production, and are now entering a paid pilot with the first studios.

The engagement is prototype-first : the client's C-level and product owners expect working code and live demos, not slides. The core technical direction is agentic AI applied to real game production - game math engines, game logic (backend), and game client code - and a shared, transferable AI layer that benefits every studio in the group.

This is a Talent Network engagement (freelance contract), not a full-time position. Allocation is 0.5+ FTE, with strong preference for a candidate available closer to full-time - ideally one person covers both architecture and hands-on engineering.

Objective

- Act as the embedded technical lead for AI on the account: design, build, and demo production-grade agentic AI solutions for game development

- Deliver fast, visible results that benefit the group of companies as a whole (shared AI layer across studios), not only a single studio

- Transfer knowledge continuously to the client's teams and to Neurons Lab engineers

Areas of Responsibility

Technical Architecture & Hands-on Implementation

- Build working prototypes and pilots on the client's real game stack - mathematical engine, game backend, and client - so product owners can test game ideas at scale on real math, not simplified mocks





- Design and implement custom agentic setups ("harness + loop + graph") that are transferable between AI systems (Claude Code / Codex / Cursor and similar), beyond what off-the-shelf tools provide

- Own the technical architecture: model selection, deployment patterns, infrastructure, cost estimation (incl. token economics), and monitoring

- Prepare and run technical demos; always keep a fallback (recorded demo, whitelisted environment) so a live session never fails

- Produce follow-up technical packs after client sessions: flows, component schemas, deployment views, cost estimates

Working with Client Stakeholders

- Present technical solutions with concrete focus on the presente system being built - avoid abstract industry examples and generic "challenges software teams face" talking points

- Engage confidently with senior, technically strong client-side stakeholders (CTO-level scrutiny is the norm on this account); articulate clearly why our approach is better than the tools the client already knows

- Respect role boundaries: product feature decisions belong to the product/delivery lead, and commercial topics (what we sell, engagement model) belong to the account team - the architect's voice is decisive on technical excellence, architecture, and implementation

- Accept decisions once they are made and move forward - collaborative, low-ego working style with quick debriefs and fast iteration





Team & Knowledge

- Lead and unblock AI engineers on the project where present; create tasks, review output, share feedback

- Run knowledge transfer sessions so the team is never a single point of failure

- Support proposal preparation with technical input (estimates, architecture options) when asked by the account team

Experience

1. iGaming / game-development domain expertise - mandatory. Hands-on familiarity with slot/casino game production: game math engines (RTP, volatility, balancing), game logic and backend, game client. This is the primary reason the role is open - generic AI expertise without gaming domain knowledge is not sufficient for this client.

2. 7+ years hands-on AI/ML development , incl. strong recent agentic AI practice : building harnesses, loops, multi-agent systems, and AI developer-tooling on top of Claude / Codex / Cursor-class systems.

3. Prototype-first delivery record. Can show (not tell) existing work: working skills, tools, agents, and loops that operate strictly on code and math . Candidates will be asked to demo real artifacts during the interview.

4. Consulting / client-facing seniority. Experience as a technical lead in front of demanding enterprise or product-company stakeholders; confident and proactive (not defensive) under challenge from strong internal engineering teams.

Nice to have:

- Experience delivering to a group/holding structure or multi-brand organization (shared platform serving several business units)

- Game art/graphics pipeline understanding (not required to work on it, but useful for context)

- Cloud hyperscaler experience (AWS / Azure / GCP - all equally valid)

#J-18808-Ljbffr

📌 AI Architect (iGaming) (España)
🏢 Neurons Lab
📍 España