Wir sind mehr als 2.000 Kolleg:innen in 22 Designstudios auf vier Kontinenten – ein hochgradig kollaboratives Team aus Expert:innen für Produkterlebnisse, digitales Marketing und immersive Technologien. Unsere Lösungen entstehen dort, wo Kreativität und Technologie zusammentreffen – mit einem klaren Fokus auf die Bedürfnisse und Erlebnisse der Nutzer:innen. Ob Augmented Reality, Digital Twins, KI-Ökosysteme, Omnichannel-Commerce oder integrierte Kampagnen: Wir schaffen Verbindungen zwischen Menschen und Marken – im B2B- ebenso wie im B2C-Bereich. 

Als Teil des globalen Technologieinnovators Infosys verfügen wir über die nötige Skalierung und Expertise, um große Ideen Wirklichkeit werden zu lassen – und sie weltweit umzusetzen. 

Wir sind eine Motion Picture & 3D Production mit Fokus auf hochwertige CGI- und Content-Produktion für starke Marken (u. a. Automotive, Fashion, Consumer Goods). Unser Sweet Spot: kreative Exploration mit GenAI – und wenn nötig kampagnenfähige, pixel-perfect Ergebnisse im Produktionsmaßstab. 

Deine Rolle 

Du bringst GenAI-Bildgenerierung und -Bildbearbeitung (v. a. ComfyUI) so in unsere CGI-/Compositing-Pipeline, dass aus Ideen schnell realistische, konsistente und markentaugliche Visuals werden. 

Das erwartet Dich 

1.) Look Development & Concept Exploration  

• Du entwickelst Bildwelten, Motive und Variationen für Kampagnen  
• Du arbeitest mit ComfyUI in bestehenden Graphen, pflegst sie und erweiterst sie für konkrete Use Cases (z. B. Environment/Background, Produktintegration, Serien-Varianten). 
• Du baust Prompt-Frameworks / Prompt-Baupläne, um Konsistenz und Qualität über Serien zu halten. 

2.) CGI Enhancement & “AI als Finish”  

• Du nutzt GenAI als Finish-Layer nach dem 3D: Enhancement, Compositing-Unterstützung, Details, Realismus, Konsistenz. 
• Du arbeitest eng mit 3D/CGI/Compositing zusammen (u. a. C4D, Maya, Unreal, Nuke, After Effects, Photoshop, Substance). 
• Du hilfst, typische Produktionsherausforderungen zu lösen (z. B. Produktgenauigkeit, Proportionen, Detailgrad). 

3.) Workflow-Qualität & Skalierung  

• Du setzt auf Batch/Automation in ComfyUI (Queues, Varianten, reproduzierbare Runs). 
• Du evaluierst Modelle/Ansätze (Qualität/Speed) und setzt sie passend zum Use Case ein 
• Du dokumentierst ComfyUI-Templates/Workflows und erstellst Best-Practice Guides, damit Teams sauber weiterarbeiten können. 
• Für kleine Automationen nutzt du gelegentlich Skripte/Helpers (Python/JS). Für größere Infrastruktur-/Engineering-Themen gibt es bei uns separate Engineering-Unterstützung. 

Das bringst Du mit 

• Hands-on Erfahrung mit GenAI im Imaging-Kontext, inklusive Bildgenerierung sowie gezielter Bearbeitung und Qualitätsverbesserung 
• Sichere Praxis mit ComfyUI, insbesondere node-basierte Workflows, saubere Graphen und Troubleshooting 
• Ausgeprägtes Verständnis von Bildgestaltung und Visual Quality, z. B. Komposition, Licht, Materialität und Stil 
• Erfahrung oder fundiertes Verständnis von CGI- und Compositing-Pipelines, inklusive Übergaben, Render-Logik und dem Weg vom Setup zum finalen Bild 
• Portfolio oder Arbeitsproben, die Realismus, Konsistenz und visuelle Qualität unter produktionsnahen Constraints belegen (über reine Prompt-Experimente hinaus) 
• Fließende Deutsch- und/oder Englischkenntnisse (mindestens B2-C1) sind Voraussetzung.

Was zusätzlich begeistert (Bonus, aber kein Muss)

• Git-Grundlagen (Versioning von Workflows/Configs) 
• Kleine Skripting-Skills (Python/JS) für Helpers 
• Erfahrung mit API-basierten Tools (Cloud) und/oder lokalen Setups (Compliance) 
• Automotive/Fashion/Consumer Goods Erfahrung (z. B. Produktinszenierung, Brand-Look, Konsistenz) 
• 3D Dataprep Know-how (CAD cleanup, UV/Material-Prep, Lighting Presets, AOVs/Depth) 

Wie wir arbeiten 

• Du arbeitest mit einem interdisziplinären Team (Creative Direction, CGI/3D, Motion/Comp, Engineering). 
• Typischer Review: 2 Feedbackschleifen (intern/Lead + Freigabe). 
• Qualität ist uns wichtig: kampagnenfähig / photoreal / pixel-perfect, aber wir unterscheiden klar zwischen Exploration und Final. 
• Primär remote innerhalb Deutschlands, mit ca. 2 Tagen/Monat vor Ort in Stuttgart. 
• Alltagssprache im Team ist überwiegend Deutsch – du musst nicht perfekt sein, aber kommunikationsfähig (Englisch geht selbstverständlich). 

Unsere lokalen Benefits 

• Flexible Arbeitszeiten  
• Arbeiten von wo es für dich passt. Zu Hause oder im Büro, ganz nach deinem Geschmack 
• Arbeit für starke Marken und Kund:innen, an die wir glauben  
• Zuschuss beim Urban Sports Club 
• Mitarbeitervorteile & Rabatte über Corporate Benefits 
• aufgeschlossene & nette Menschen in allen Teams 

Klingt nach Dir? Dann schnapp Dir Deinen Laptop und bewirb Dich – wir freuen uns, Dich auf unserer kreativen Reise dabei zu haben! Bitte sende uns: 

• CV  
• Portfolio/Showreel (sehr gern mit 2–3 Case Slides) 
• Optional sehr hilfreich: 1 Beispiel-Workflow (Screenshot/Export deines ComfyUI-Graphs + kurze Erklärung: Input → Schritte → Output → wie du Konsistenz & Produktgenauigkeit sicherst) 

Wir freuen uns besonders über Beispiele, in denen du Produkt-Treue, Proportionen und Realismus unter Constraints gelöst hast.  

Für uns zählt allein Deine Persönlichkeit und Deine beruflichen Fähigkeiten. Dein Geschlecht, Alter oder Aussehen, Deine Herkunft oder sexuelle Orientierung spielen für uns keine Rolle – wir sind offen für die Zusammenarbeit mit jeder Person. 

Beachte bitte: Dies ist eine Stellenanzeige der WongDoody GmbH mit Sitz in Deutschland. Über unsere Website oder andere Quellen kannst Du zu Stellenanzeigen gelangen, die von einer unserer WongDoody-Schwesterfirmen veröffentlicht wurden, mit denen wir weltweit gemeinsam unter der Marke "WongDoody" auftreten. Für jedes Stellenangebot ist ausschließlich das Unternehmen verantwortlich, das die jeweilige Anzeige veröffentlicht hat. Ansprechpartner:innen, erforderliche Angaben und geltende Bedingungen können jeweils abweichen. Hier kannst Du Dich darüber informieren, wie die WongDoody GmbH Deine im Bewerbungsprozess angegebenen personenbezogenen Daten verarbeitet.

Wenn Du Fragen zum Bewerbungsprozess hast, wende Dich gerne direkt an unser People & Culture-Team unter leonie.schaefer@odt.net

About Atari

Atari is an interactive entertainment company and an iconic gaming industry brand recognized worldwide for its multi-platform games and licensed products. Atari owns and/or manages a portfolio of more than 400 games and franchises, including globally recognized brands such as Asteroids®, Centipede®, Missile Command®, Pong®, and RollerCoaster Tycoon®.

The Atari family of brands includes Digital Eclipse, Nightdive Studios, Infogrames, AtariAge, MobyGames, as well as Coatsink, Early Morning Studios, and Stormteller Games—spanning game development, publishing, and community experiences worldwide.

Atari operates internationally with offices in New York, Paris, Germany, and India.

Overview

Architect, build, and own AI systems that automate expert-intensive technical workflows end-to-end — from CLI frameworks, MCP servers, and agent tooling through to production deployment, business outcome tracking, and continuous improvement. You solve real business problems with AI, ensure solutions are fully implemented and adopted, and measure whether they are actually working.

What You’ll Do

System Architecture and Framework Design

• Own the end-to-end architecture of AI automation systems: workflow decomposition, component communication, human checkpoint placement, and failure behaviour.
• Design and build the internal CLI frameworks, reusable libraries, and agent scaffolding that all pipelines are built on.
• Author and maintain agent instruction files (SKILL.md, CLAUDE.md, system prompts), context configurations, and MCP server definitions that govern agent behaviour and tool access.
• Configure and govern AI coding environments such as Claude Code and Codex CLI: wiring MCP servers, defining tool permissions, building slash commands, and setting the engineering standards the team operates by.
• Evaluate and document architectural trade-offs across reliability, latency, cost, and maintainability.

Pipeline Development and Integration

• Build production-grade AI pipelines in Python: orchestration logic, tool definitions, structured prompting, context assembly, output schema validation, and retry and escalation strategies.
• Integrate AI systems with external tooling — version control, build pipelines, platform SDKs, compliance databases, internal APIs — with well-defined permission boundaries and failure handling.
• Design context assembly: how domain knowledge, runtime state, retrieved documents, and tool outputs compose into the precise input each pipeline stage needs.
• Build and operate multi-agent systems: orchestrator-worker patterns, agent memory management, structured handoffs, and conflict resolution between concurrent agents.

Prompt Engineering

• Design, write, and version all system prompts and agent instructions as first-class engineering artefacts: role definition, behavioural constraints, output format contracts, tool usage rules, and fallback handling — with chain-of-thought, few-shot, and structured output techniques applied deliberately per task.
• Own output schema design and prompt regression testing: define format contracts downstream stages depend on, validate against them, and maintain a ground-truth eval set that gates every instruction or model change before deployment.

Context Engineering, Knowledge, and Domain Collaboration

• Engineer context windows with precision: determine what enters each pipeline stage, in what order, and at what granularity — balancing model comprehension and task accuracy against token cost and latency through compression, summarisation, and selective retrieval where needed.
• Work directly with domain experts to extract specialist knowledge and translate it into agent behaviour: decision logic, edge case handling, quality criteria, and failure modes.
• Partner with the RAG Engineer to define retrieval requirements — what knowledge is needed, under what conditions, at what granularity — ensuring retrieved context is precise and actionable.
• Build and maintain structured runtime knowledge assets: curated document corpora, rule sets, decision trees, and validation reference libraries.

Evaluation, Quality, and Reliability

• Build and own the evaluation framework: test suites, regression benchmarks, LLM-as-judge pipelines, per-stage quality metrics, and end-to-end pass rates against expert-validated ground truth.
• Implement production monitoring across all pipelines: latency, token consumption, per-stage success rates, failure distribution, and output quality drift, using tooling such as LangFuse, Arize, or equivalent.
• Run structured failure analysis: diagnose root causes in context assembly, orchestration logic, knowledge coverage, or tool integration — and implement targeted fixes.
• Define and track automation rate as a first-class metric: workflow instances completing end-to-end without human intervention and the verified quality of those outputs.
• Measure and report on business effectiveness of deployed systems: whether the solution is achieving its intended objective, where gaps remain, and what changes would close them.

Governance, Safety, and Technical Leadership

• Implement full audit trails: inputs received, tools called, outputs produced, and human review triggers — making system behaviour traceable and defensible.
• Enforce versioning of all agent instructions, context configurations, and system prompts as engineered artefacts subject to regression testing and controlled rollout.
• Set the technical standard for AI system development within the organisation — architecture patterns, evaluation practices, framework conventions, and quality gates — documented so what you build is maintainable by others.
• Collaborate with engineering, domain, and product teams throughout implementation: answering technical questions, unblocking dependencies, and ensuring the system is correctly adopted by everyone depending on it.
• Engage engineering leadership on roadmap priorities, scope trade-offs, and technical risk with clear technical perspective.

Requirements & Qualifications

• Proven track record of building production AI automation systems from scratch — independently scoping, architecting, and delivering end-to-end from framework design through deployment and ongoing improvement.
• Hands-on expertise with AI coding agents — Claude Code, Codex CLI, Cursor, or equivalent — including MCP server configuration, tool permission design, agent instruction authoring, and CLI-driven workflow automation.
• Experience designing, building, and deploying MCP servers and custom tools from scratch: tool schema design, authentication, permission boundaries, and governing what agents can access and act on.
• Experience creating internal tooling and automation that measurably improved engineering team efficiency — reducing manual processes, accelerating workflows, and enabling teams to operate at higher leverage.
• Experience defining and tracking productivity and efficiency metrics for AI systems: automation rate, time-to-completion reduction, human intervention rate, and business outcome measurement.
• Experience working with data scientists and domain experts to implement AI solutions that measurably improved team productivity and workflow efficiency.
• Deep prompt engineering and context engineering practice: system prompt authoring, few-shot design, chain-of-thought and structured output techniques, token budget management, context window strategy, and prompt versioning with regression testing.
• Proficiency with LLM orchestration frameworks — LangChain, LangGraph, LlamaIndex, AutoGen, or equivalent — with the judgment to know when to use them and when to build leaner.
• Experience building internal CLI frameworks, agent scaffolding, and reusable libraries that others build on.
• Production Python engineering: modular, testable, well-logged code with proper error handling.
• Experience integrating AI systems with external tools and APIs: tool definition design, permission management, rate limit and failure handling.
• Experience building AI evaluation frameworks: test suites, regression benchmarks, LLM-as-judge pipelines, and production quality monitoring.
• Cloud platform experience (AWS, Azure, or GCP): deploying and monitoring AI workloads with containerisation and orchestration tooling.

Preferred / Nice-to-Have

• Experience in the gaming industry: game development pipelines, engine architectures such as Unity or Unreal, platform certification processes, or cross-platform porting workflows.
• Familiarity with game engine scripting, asset pipelines, or platform-specific SDK integration (Xbox GDK, PlayStation SDK, or similar).

To Apply

Please submit your resume and a brief cover letter outlining your experience and interest in the role. If available, you are also welcome to include a link to your portfolio.

EEO Statement

Atari is an equal opportunity employer and we are committed to providing a workplace free from harassment and discrimination.  We are committed to equal employment regardless of race, religion or lack thereof, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, medical condition, veteran status, ancestry, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

About Atari

Atari is an interactive entertainment company and an iconic gaming industry brand recognized worldwide for its multi-platform games and licensed products. Atari owns and/or manages a portfolio of more than 400 games and franchises, including globally recognized brands such as Asteroids®, Centipede®, Missile Command®, Pong®, and RollerCoaster Tycoon®.

The Atari family of brands includes Digital Eclipse, Nightdive Studios, Infogrames, AtariAge, MobyGames, as well as Coatsink, Early Morning Studios, and Stormteller Games—spanning game development, publishing, and community experiences worldwide.

Atari operates internationally with offices in New York, Paris, Germany, and India.

Overview

The Technical Game Architect is the domain authority on game engine architecture and cross-platform porting - bringing deep, hands-on expertise to evaluate technical outputs, identify gaps, and ensure every port meets the standard required for platform certification and release. This role drives technical excellence across the porting process, working at the intersection of game development expertise and tooling and automation to make cross-platform delivery faster, more reliable, and more efficient.

What You’ll Do

Technical Review and Validation

• Review code changes, configurations, and platform integrations for technical correctness - catching errors, incorrect API usage, missing edge cases, and certification-blocking patterns.
• Evaluate technical outputs against deep knowledge of PC and console game behaviour - identifying structural failures, not just compilation errors.
• Make gate decisions at every major milestone - assessing technical soundness and platform readiness with the authority to stop a port that is not ready.

Domain Expertise and Knowledge Contribution

• Serve as the primary source of porting knowledge - translating hands-on experience into structured patterns, decision rules, error-fix pairs, and platform-specific guidance.
• Diagnose knowledge and process gaps when outputs are consistently incorrect - identify the root cause and provide the expertise to close it.
• Keep domain knowledge current across engine versions, platform SDKs, and certification requirements.
• Document porting patterns, platform behaviours, and certification requirements precisely and unambiguously.

Engineering Team Collaboration

• Work as a continuous partner to the engineering team throughout every port - embedded in the process from scoping through launch, not a downstream reviewer.
• Identify what domain knowledge is needed, in what form, and at what precision - ensuring it is correctly structured and usable before it informs any tooling or automation.
• Jointly diagnose tooling failures with the engineering team - bringing domain expertise to identify what is wrong while the team diagnoses why, closing gaps together.
• Contribute domain expertise to AI-assisted automation tooling - reviewing outputs, identifying systematic errors, and providing structured knowledge that improves accuracy over time.
• Validate engineering fixes - confirming correct technical output before the next port begins.

Platform and Hardware Validation

• Test ports on physical console hardware: verify rendering, input, platform services, suspend and resume, save persistence, and device-specific requirements.
• Validate certification compliance - distinguishing blocking failures from warnings and providing precise guidance on remediation.
• Provide authoritative judgment on controller input and platform-native behaviour.

End-to-End Porting Lifecycle Ownership

• Lead viability assessment: evaluate engine version, codebase structure, dependencies, and platform complexity to determine effort, risk, and feasibility.
• Define the technical porting plan: work sequencing, dependency mapping, risk identification, and system-by-system approach.
• Own the first build milestone: get the game compiling and running on the target platform, resolving the initial failures that block all subsequent work.
• Drive performance and optimisation: identify where the game exceeds console CPU, GPU, and memory constraints and define the approach to hit stable targets.
• Manage certification preparation, submission, and response to platform holder feedback through to approval.
• Communicate with game producers and stakeholders throughout the port - identifying requirements, setting expectations, surfacing what will be handled through tooling and automation, and flagging where decisions or input are needed.
• Coordinate with game producers on launch readiness: release timing, store metadata, platform requirements, and post-launch patch planning.

Requirements & Qualifications

• 10+ years of hands-on game development experience, with a proven track record of shipping titles across PC and at least one major console platform (Xbox, PlayStation, or Nintendo Switch).
• Deep expertise in Unity or Unreal Engine: architecture, build pipelines, rendering, input, asset management, and platform-specific configuration.
• Extensive console porting experience across multiple titles and SDK generations - full lifecycle from first build through certification submission.
• Deep working knowledge of at least one console SDK (GDK/GDKX, PlayStation SDK, or Nintendo SDK): platform services, certification requirements, and hardware constraints.
• Strong understanding of where PC and console architectures diverge and where those differences create porting complexity or incompatibility.
• Experience reviewing code for platform correctness - identifying incorrect API usage, missing behaviours, performance issues, and certification failures on sight.
• Ability to rapidly learn and apply new engines, platform SDKs, and tooling - transferring structural porting knowledge to unfamiliar environments independently.
• Clear, precise communication of technical judgments to both engineering teams and non-technical stakeholders.
• Experience with physical console devkit testing: deploying builds, capturing logs, diagnosing failures, and validating platform services on device.

Preferred / Nice-to-Have

• Experience across multiple engine and platform combinations - Unity and Unreal, or Xbox and PlayStation, or console and PC simultaneously.
• Familiarity with tooling and automation in game development workflows - reviewing tool-generated outputs or working alongside automated systems in a technical oversight capacity.
• Experience authoring technical documentation, porting guides, or certification reference materials.

To Apply

Please submit your resume and a brief cover letter outlining your experience and interest in the role. If available, you are also welcome to include a link to your portfolio.

EEO Statement

Atari is an equal opportunity employer and we are committed to providing a workplace free from harassment and discrimination.  We are committed to equal employment regardless of race, religion or lack thereof, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, medical condition, veteran status, ancestry, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate.

At JetBrains, code is our passion. Since 2000, we’ve been building tools that help developers stay focused on what matters -solving problems, exploring ideas, and creating great software.

The Growth team is a key initiative within the .NET and GameDev ecosystem, focused on expanding IDE adoption and strengthening JetBrains’ position among professional development teams. As part of this team, Solution Architects are senior technical experts who work closely with key customers, internal teams, and the broader ecosystem to support complex use cases and drive long-term adoption.

You’ll play a key role in shaping how professional game development studios adopt JetBrains tools in real production environments - helping teams solve complex problems, improve workflows, and build better games.

About the role

As a Solution Architect for GameDev Tools, you’ll act as a trusted technical advisor to game development studios using JetBrains tools, primarily Rider.

This is a senior, non-sales role focused on deep technical engagement, high-impact customer scenarios, and long-term relationships with professional studios. You’ll work at the intersection of real-world production environments and product development, helping teams adopt modern workflows and get the most out of their tooling.

What you’ll do

• Work closely with game development studios as a technical expert on Rider and GameDev workflows
• Investigate complex technical challenges beyond typical support scope, including performance, debugging, IDE integration, and workflow issues
• Validate advanced use cases such as large Unity and Unreal projects, custom engine setups, CI/build pipelines, and competitive evaluations
• Act as a bridge between studios and internal teams, including Growth, Sales, and product teams
• Provide actionable product feedback based on real-world production environments
• Design and deliver technical workshops, demos, training sessions, and sample projects
• Share insights, best practices, and competitive knowledge with internal teams
• Occasionally travel for key onsite engagements, workshops, or industry events

What we’re looking for

• Strong professional experience in game development using Unity, Unreal Engine, or in-house engines
• Background in AAA or large-scale production environments, with a solid understanding of studio structures and workflows
• Deep knowledge of the full game development lifecycle, from prototyping to live operations
• Experience working with large, long-lived codebases and complex runtime environments
• Strong skills in debugging, performance optimization, profiling, and memory management
• Ability to work effectively with senior engineers, technical directors, and engineering leadership
• Established presence in the GameDev industry, with the ability to build long-term professional relationships
• Hands-on experience with JetBrains tools and the ability to demonstrate their value in real workflows
• Experience creating technical content such as demos, presentations, or workshops
• Strong customer focus and communication skills
• Fluency in English

Nice to have

• Experience in roles such as Solution Architect, Technical Consultant, Developer Advocate, or similar
• Deep knowledge of engine internals or performance-critical systems
• Experience with C++ and managed-to-native interoperability
• Familiarity with console development and platform-specific constraints
• Experience in large distributed or multi-studio environments
• Background in building developer tools, custom editors, or IDE plugins
• Public speaking experience at conferences or technical events
• Experience in adjacent fields such as simulation or virtual production
• Understanding of AI-assisted development and tools like JetBrains AI, GitHub Copilot, or similar
• Ability to clearly explain AI capabilities, limitations, and trade-offs

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible.
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

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