AI Architect (iGaming) at Neurons Lab

Neurons Lab; Warszawa; On-site; PLN 180,000 - 290,000; Part time

Job summary

Neurons Lab is seeking an embedded technical lead for AI on an iGaming-focused account in Warszawa. This freelance, prototype-first engagement requires building production-grade agentic AI solutions for game development, including engine, backend, and client components.

You will design harnesses, loops, and multi-agent setups to demonstrate working code and live demos. The role emphasizes collaboration with senior client stakeholders and knowledge transfer to client teams and Neurons Lab

Qualifications

• 7+ years hands-on AI/ML development.
• Experience in iGaming/game-development domain is mandatory.
• Prototype-first delivery record with live demos and artifacts.

Responsibilities

• Design and implement agentic AI setups transferable across AI systems.
• Own technical architecture: model selection, deployment patterns, cost estimation, and monitoring.
• Deliver technical demos and produce follow-up technical packs.

Skills

AI/ML development

Agentic AI

Architecture design

Hands-on engineering

Client communication

Tools

Claude/Codex/Cursor

Real game stack tooling

Job description

This Full time on site position offers great opportunities for career growth.

Warszawa, MZ, PL

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 actual 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 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.

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. 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. Consulting / client‑facing seniority.

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)