AI Engineer/Architect – LLM, RAG & Applied AI

Knowit AB (Publ)

We’re building real-world AI systems – not just prototypes. If you’ve worked hands-on with LLMs and want to take the next step, we should talk. At Knowit Connectivity, we’re expanding our AI capabilities and looking for experienced engineers and architects who want to design and build production-grade AI solutions together with our clients. About the role As a senior consultant, you’ll work across the full lifecycle of applied AI – from early exploration to deployed, scalable systems used in real environments. You’ll take a leading role in shaping solutions, both technically and strategically, and collaborate closely with clients, developers, and other stakeholders. Typical work includes: Designing end-to-end architectures for AI-powered systems Building and deploying LLM-based applications in production Implementing RAG pipelines over large and complex data sources Developing agent-based workflows and orchestration logic Integrating AI capabilities into existing systems and platforms Evaluating, optimizing, and scaling AI solutions (latency, cost, quality) What we’re looking for We’re primarily looking for senior profiles with hands-on experience in applied AI. You likely have experience with several of the following: Building applications using LLMs (e.g. OpenAI, open-source models) Retrieval-Augmented Generation (RAG) and vector databases Designing production-ready systems (APIs, pipelines, integrations) Python or similar programming languages Working with frameworks like LangChain, LlamaIndex, or similar Prompt engineering, evaluation, and iteration in real-world use cases Experience with system architecture, cloud platforms, or data engineering is a strong plus. Who you are You’re someone who: Has moved beyond demos and wants to build systems that are actually used Enjoys both the bigger picture (architecture, trade-offs) and hands-on implementation Is comfortable taking ownership and guiding technical direction Wants to stay at the forefront of how AI is applied in practice You don’t need to fit a perfect profile – we value different strengths, whether you lean more towards architecture or implementation. Why join us At Knowit, you’ll be part of a team that helps organizations move forward in their AI journey – from early exploration to real, implemented solutions. We work closely with our clients to understand their needs, identify opportunities, and turn ideas into practical applications. Whether it’s defining a strategy, designing architectures, or building working systems, you’ll play a key role in helping others succeed with AI. What you can expect: Working hands-on with clients to solve real business problems using AI Supporting organizations at different stages of their AI maturity – from first use case to scaled solutions Collaborating in a strong engineering culture where knowledge sharing is part of everyday work Opportunities to influence both client solutions and how we grow our AI capabilities internally A variety of projects and industries, giving you both breadth and depth over time We’re building our AI capabilities together with our clients, which means your work will have a direct impact – not only on what we do, but on how others succeed in applying AI. Interested? If you’ve already built something real with LLMs – and want to push further – we’d like to hear from you.

Knowit AB (Publ)

Do you want to work with AI in real projects – from idea to implementation? At Knowit Connectivity, we’re growing within AI and are looking for more people to join us. We know that people come with different strengths, so instead of looking for one perfect profile, we’re open to different backgrounds. You might be more focused on architecture and design, or you might prefer working closer to implementation. Either way, if you’re interested in working with AI in practice, we’d like to hear from you. About the role As a consultant with us, you’ll work with developing AI solutions together with our clients and internally. The work can vary from early ideas and design to building and integrating solutions. Depending on your experience, you could be working with: Designing AI solutions and system architecture Working with LLM-based applications Building solutions using RAG or similar approaches Developing agent-based workflows Integrating AI into existing systems We think you might have experience in: Hands-on experience working with LLMs in applications RAG (Retrieval-Augmented Generation) Agent-based solutions Python or similar APIs and system integration You don’t need to have experience in all of the above as we will offer opportunities to learn and grow within Knowit. Who you are You’re interested in how AI can be used in real applications and enjoy working hands-on, turning ideas into something that actually works. You might like working with the bigger picture, or prefer being closer to implementation. You’ll be working closely with a team that has a strong focus on learning and developing within this area, where sharing knowledge is a natural part of everyday work. You’ll also work closely with our customers and support them in moving forward on their journey. We believe you’re someone who wants to keep developing over time. This isn’t a role with a fixed end point – it’s more of an ongoing learning journey where you grow together with the team. Why join us At Knowit, you’ll be part of a team where people support each other and share knowledge openly. We believe that development happens over time – not just through courses, but by working together, trying new things, and learning along the way. You’ll have the opportunity to work with different types of projects and customers, which gives you both variety and the chance to grow in different directions. If you want to deepen your current skills or explore new areas, we encourage that. Right now, we’re also building up our capabilities within AI, which means you’ll be part of a team that is shaping how we work with these technologies going forward. At the same time, we value a healthy balance between work and life, and a culture where you can be yourself and feel part of a community.

Fatalist Development AB

We are seeking a highly autonomous, high-output DevOps & AI Engineer to design and build a pioneering AI-assisted system. This solo-developer initiative will automate the complex integration, merging, and migration of game project branches across versions, encompassing both Unreal Engine 5 and our proprietary APEX engine projects. You will be responsible for creating an intelligent system that not only manages Git and Perforce workflows but also integrates seamlessly with Jenkins for robust preflight validation and automated testing. Leveraging advanced LLM-powered agentic workflows, the system will classify, triage, and reliably resolve merge conflicts, moving beyond blind binary merges to intelligently interact with engine APIs and scripting environments. This is a critical role for someone ready to independently build a sophisticated backend agent framework and an intuitive frontend dashboard while leveraging an existing, mature CI/CD infrastructure. What you’ll do Design and Build an AI-Powered Integration System: Architect, develop, and deploy a comprehensive AI-assisted platform that automates game project branch integration across Unreal Engine 5 and APEX. The system will support both Git and Perforce version control and integrate seamlessly with Jenkins-based CI/CD workflows. Develop Intelligent Conflict Resolution: Implement advanced LLM-powered agentic workflows to classify, triage, and resolve merge conflicts. Focus on deep contextual understanding, multi-pass investigation, and intelligent decision-making rather than relying on blind binary merges. Engine and Scripting Automation: Leverage native Python scripting and engine APIs to interact directly with Unreal Engine, automate tasks such as Blueprint recompilation and contract-change updates, and extend these capabilities to proprietary engines such as APEX. Full-Stack Development and Workflow Orchestration: Independently build both the backend agent framework and an internal, project-specific frontend dashboard. Design and manage complex state machines for "Paused Integration" workflows, enabling human-in-the-loop intervention and continuous learning through self-reflection mechanisms based on human resolutions. Define and Track Success Metrics: Establish, monitor, and refine key performance indicators (KPIs) that measure AI effectiveness, including Attempt Rate, Escalation Rate, and Rollback Rate, ensuring continuous improvement, operational efficiency, and system reliability. Who you are: Version Control & CI/CD Mastery: Deep expertise in both Perforce and Git, with a strong understanding of their distinct workflows and underlying models, as well as hands-on experience designing and authoring Jenkins pipelines for robust CI/CD processes within mature development infrastructures. Game Engine & Asset Pipeline Knowledge: Working knowledge of Unreal Engine 5 project structures and asset pipelines, including a strong understanding of the challenges associated with merging game-specific assets such as .uasset files, Blueprints, and other engine-generated content. Applied AI/ML Practitioner: Proven ability to build practical applications using LLMs through APIs, including prompt engineering, context engineering, agentic frameworks, and retrieval-augmented generation (RAG). Experience applying these techniques to areas such as code-diff analysis, semantic understanding, and automated conflict resolution, with a focus on orchestration rather than model training. Polyglot Developer & Systems Integrator: Proficient in Python, C# for engine tooling, and C++, with full-stack web development experience (e.g., React and Node.js) for internal dashboard development. Skilled at orchestrating complex systems and integrations across multiple platforms and APIs, including version control systems, CI/CD tools, Jira, and Slack. Autonomous & Strategic Thinker: A highly self-directed professional capable of independently driving complex projects, strategically leveraging AI orchestration to delegate work to specialized agent sub-systems, and designing resilient architectures with robust state management. Game Industry Experience: Demonstrated experience in the game industry or engine development, with a strong appreciation for the unique technical and workflow complexities of game production. Note: Research shows under-represented groups in the industry might not apply to a job if they don’t check off every requirement. At Avalanche, we’re more about your drive to learn and interest in tackling challenges than what’s on your resume! So don’t stress if you don’t tick every box— shoot us your application anyway! Diverse opinions and different experiences are what make our teams so great, not itemized lists of qualifications. The Stockholm location Our Stockholm office is situated in Södermalm, the beating heart of the city’s game industry. It’s a physical representation of our games – the lush vegetation of Just Cause and theHunter: Call of the Wild meets corroded metal straight out of Mad Max. Our hybrid model requires you to be in the office on Mondays, Tuesdays, and Thursdays to foster collaboration and creativity. Our values At Avalanche Studios Group, we create worlds beyond limits. But that’s not exclusive to our games, so we’re committed to developing a diverse and inclusive workplace. All Avalanchers have a shared responsibility to create an open work environment where everyone is treated equally and respectfully. Being part of our world is not contingent on your heritage, your gender, or sexual orientation. It’s all about your passion and creativity. How to apply To apply for this position, please register below and provide your CV in English. We review applications continuously. All further studio-related information is provided under a non-disclosure agreement. At Avalanche Studios Group we're always on the lookout for talented individuals to join our passionate team, but please note that relocation assistance is not available for this role.