Python / AI Developer

🏢 Summary: Python-focused backend developer role building and maintaining scalable AI-driven services that integrate large language models with Unreal Engine. The position centers on developing reliable APIs, orchestrating AI pipelines, and ensuring high code quality in a fast-paced startup environment. The work bridges multimodal AI systems and engine-level integrations used by game developers worldwide. 🗂️ Requirements: 2–4 years professional experience with Python, Strong understanding of Python language and common use cases, Experience with APIs, microservices, and serverless architectures, Hands-on integration of LLMs or AI-assisted workflows into codebases, Experience with regression testing and clean code principles (DRY, SOLID), Ability to write unit and integration tests, Professional experience building backend services, English B2+ and Polish for effective communication 📃 Skills: Python, APIs, Microservices, Serverless, LLM, Langchain, Agno, AWS, GCP, Docker, RegressionTesting, UnitTesting, IntegrationTesting, SOLID, DRY 🏢 Description: About Ludus AI We provide the infrastructure for AI within Unreal Engine that extends beyond basic implementation. With 26 000+ users and partnerships with industry giants, Ludus AI is automating C++, Blueprints, and 3D asset generation. We’re looking for a Developer who wants to go under the hood of the multimodal AI system, not just use it in their everyday work. Why this role exists We need a Python-focused developer to act as the engine room of our AI services. You will be responsible for shipping reliable backend features and AI-adjacent systems that bridge the gap between large models and the Unreal Engine environment. This is a role for someone who values fast product iteration but refuses to compromise on code reliability. What you will do Scalable Backend: Develop and maintain high-performance Python services and APIs that power Ludus AI tools. AI Orchestration: Integrate and iterate on AI components, LLM pipelines, and system integrations. Code Quality: Write robust tests (unit/integration) and refactor existing logic to ensure long-term maintainability and performance. Fast Iteration: Collaborate closely with the engine team to solve technical hurdles and ship product improvements in a high-speed startup rhythm. Requirements Python Experience: 2–4 years of professional experience with Python. Good understanding of the language and its common use cases. Quality Mindset: Familiar with regression testing and clean code principles (DRY, SOLID). Modern Backend: Comfortable working with APIs, microservices, and serverless architectures. AI Integration: Hands-on experience integrating AI-assisted workflows or LLMs into existing codebases. Autonomy: Comfortable working remotely and coordinating with the team. Communication: Solid English (min. B2, C1 preferred) & znajomość języka polskiego pozwalająca na swobodną komunikację. Culture: A solid sense of humor (memes are our second language). Nice to have Pragmatic "ship-it" mindset with AI libraries (e.g., Langchain, Agno, or similar). Cloud & DevOps experience (AWS/GCP, Docker). Curiosity about Unreal Engine workflows or gamedev tooling. What we offer Real Impact: Your code will be used by thousands of gamedevs globally to shape the future of Unreal Engine development. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Deep Tech Stack: Work on the intersection of AI and low-level Engine integration. Stability: Fully funded startup with a proven product-market fit and global ambitions. Flexible Schedule: You are the master of your own time. Great Atmosphere: A small, tight-knit crew of passionate individuals who value changing the world while having a blast. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself, a link to your portfolio and code samples (github link) using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration

🏢 Summary: Development of a native Unreal Engine 5 C++ plugin integrating AI-driven code and 3D asset generation directly into the editor. The role focuses on deep engine integration, performance optimization, and building seamless developer tools within UE5. You will shape the core architecture and user experience for thousands of developers using the plugin. 🗂️ Requirements: 5+ years of Unreal Engine experience (C++ focused), Expert knowledge of Unreal Engine internals and Editor scripting, Strong C++ skills with clean, maintainable code practices, Experience with memory management and multithreading in Unreal Engine, Experience developing tools or plugins for Unreal Engine, Ability to work independently in a remote environment, English proficiency (B2/C1), Polish language proficiency 📃 Skills: C++, UnrealEngine, UE5, EditorScripting, Multithreading, MemoryManagement, Slate, UMG, Python, Docker, AI, LLM, PCG, Substrate 🏢 Description: About Ludus AI We don’t just use AI; we build the tools that bring it into the heart of Unreal Engine. With 26,000+ users and partnerships with industry giants, Ludus AI is automating C++, Blueprints, and 3D asset generation. We’re looking for a Developer who wants to go under the hood of the engine, not just use it to make games. Check it out at https://ludusengine.com 🚀. Why this role exists You will be the architect of our plugin's core. Your goal is to ensure that when a developer uses Ludus AI, the integration is seamless, performant, and feels like a native part of UE5. You’re not just shipping features; you’re building the "Developer Experience" for thousands of creators. What you will do Deep Engine Integration: Develop and maintain our native C++ plugin, ensuring stability across UE5.x versions. Workflow Innovation: Workflow Innovation: Translate complex AI capabilities (code/asset generation) into intuitive User Interface and Editor tools. Performance Engineering: Profile and optimize the plugin to ensure zero-lag impact on the user’s editor experience. Tech Advocacy: Collaborate on the roadmap—decide which new UE5 features (like PCG or Substrate) we should support next. Requirements UE Experience: 5+ years of experience with Unreal Engine (C++ focused). Expert knowledge of UE internals/Editor scripting. C++ Mastery: Clean, maintainable code is a must. You should be comfortable with memory management and multi-threading in UE. Tooling Mindset: You enjoy building tools for other developers, not just game logic. Independence: We work in a "high trust, high autonomy" remote model. Communication: English (B2/C1) for documentation and team syncs. Komunikacja : Sprawnie komunikujesz się w języku polskim. Culture: A solid sense of humor (memes are our second language). Nice to have Experience with Slate/UMG for custom Editor UI. Knowledge of Python (for automation), Web technologies (for frontend) and Docker. Familiarity with AI/LLM integration patterns. What we offer Real Impact: Your code will be used by thousands of gamedevs globally. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Deep Tech Stack: Work on the intersection of AI and low-level Engine code. Stability: Fully funded startup with a proven product-market fit. How to apply?How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself, a link to your portfolio and code samples (github link) using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration .

🏢 Summary: Role focused on developing and maintaining a native C++ plugin for Unreal Engine 5, deeply integrating AI-driven code and asset generation into the editor. The position centers on performance optimization, seamless UE5 integration, and building intuitive developer tools. It involves working at the engine level to enhance the overall developer experience for Unreal Engine creators. 🗂️ Requirements: 2–4 years of experience with Unreal Engine, Strong C++ programming skills, Knowledge of Unreal Engine basics, Experience with UE editor scripting, Understanding of memory management, Understanding of multithreading concepts, Ability to develop and maintain UE5 C++ plugins, English proficiency (B2/C1), Polish language proficiency 📃 Skills: C++, UnrealEngine, UE5, EditorScripting, Multithreading, MemoryManagement, Slate, UMG, Python, Docker, Web, AI, LLM 🏢 Description: About Ludus AI We don’t just use AI; we build the tools that bring it into the heart of Unreal Engine. With 26,000+ users and partnerships with industry giants, Ludus AI is automating C++, Blueprints, and 3D asset generation. We’re looking for a Developer who wants to go under the hood of the engine, not just use it to make games. Check it out at https://ludusengine.com 🚀. Why this role exists You will be the architect of our plugin's core. Your goal is to ensure that when a developer uses Ludus AI, the integration is seamless, performant, and feels like a native part of UE5. You’re not just shipping features; you’re building the "Developer Experience" for thousands of creators. What you will do Deep Engine Integration: Develop and maintain our native C++ plugin, ensuring stability across UE5.x versions. Workflow Innovation: Workflow Innovation: Translate complex AI capabilities (code/asset generation) into intuitive User Interface and Editor tools. Performance Engineering: Profile and optimize the plugin to ensure zero-lag impact on the user’s editor experience. Tech Advocacy: Collaborate on the roadmap—decide which new UE5 features (like PCG or Substrate) we should support next. Requirements UE Experience: 2–4 years of experience with Unreal Engine (C++ focused). Good knowledge of UE basics and editor scripting. C++ Knowledge: Write clean, maintainable code. Familiar with memory management and multi-threading concepts in UE. Tooling Mindset: Comfortable assisting in building tools for other developers and contributing to game logic. Teamwork & Autonomy: Comfortable working remotely and collaborating with the team under guidance. Communication: English (B2/C1) for documentation and team syncs. Komunikacja : Sprawnie komunikujesz się w języku polskim. Culture: A solid sense of humor (memes are our second language). Nice to have Experience with Slate/UMG for custom Editor UI. Knowledge of Python (for automation), Web technologies (for frontend) and Docker. Familiarity with AI/LLM integration patterns. What we offer Real Impact: Your code will be used by thousands of gamedevs globally. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Deep Tech Stack: Work on the intersection of AI and low-level Engine code. Stability: Fully funded startup with a proven product-market fit. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself, a link to your portfolio and code samples (github link) using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration .

🏢 Summary: CTO role in a fast-growing AI startup focused on Unreal Engine tools, responsible for defining and executing the technical strategy across a UE5 plugin, AI/Python backend, and web stack. The position combines hands-on development with strategic leadership, scaling engineering teams, and aligning technology with business goals. It requires strong expertise in Unreal Engine, AI systems, and startup scaling. 🗂️ Requirements: 7+ years in technical leadership roles, Expertise in Unreal Engine, Strong experience with AI systems, Proficiency in Python environments, Proven record of leading engineering teams, Experience delivering complex production software, Strong system design and architecture skills, Experience scaling startups or engineering teams, Fluent English (C1/C2), Polish language proficiency 📃 Skills: UnrealEngine, UE5, Python, AI, SaaS, Web, Architecture, Infrastructure, Security, Testing 🏢 Description: About Ludus AI Ludus AI is already empowering over 26 000 Unreal Engine developers worldwide with advanced AI tools for C++, Blueprint, and 3D asset generation directly inside the engine. We’ve seen what’s possible when AI removes the friction from creation, and now we’re scaling our technology to make AI-driven development the new industry standard. We are an ambitious, fully funded startup building the future of game dev — and we want you to be a part of this. Check it out at https://ludusengine.com 🚀. Why this role exists We are looking for a CTO who will be a true co-driver of the company’s success. This is a high-trust leadership role for a technical visionary who understands the market, can scale a startup, and connects business outcomes with technology choices. You will bridge the gap between high-level strategy and hands-on execution, ensuring our team stays focused on the goals that move the needle. What you will do Technical Strategy: Own the technical roadmap and architecture across the entire product (UE5 plugin + Python backend/AI services + Web stack for user facing interfaces). Strategic Leadership: Co-lead the company with the CEO, translating business vision into executable milestones and measurable outcomes. Engineering Excellence: Set and enforce high engineering standards (quality, reviews, testing, release discipline) to ensure speed without sacrificing reliability. Team Scaling: Lead, mentor, and grow our engineering team; own the hiring and onboarding processes for future talent. Global Engagement: Represent Ludus AI in front of investors, enterprise clients, and global partners (gamedev and beyond). Risk Management: Mitigate technical debt and manage security, performance, and long-term maintainability. Culture Architect: Foster a healthy, ambitious, and transparent engineering culture. Hand-on development: When required, you are not afraid to get hands-on with a variety of different challenges in multiple coding languages. Requirements Expertise: 7+ years of experience in technical leadership, with mandatory expertise in Unreal Engine and a solid background in AI and Python environments. Leadership Track Record: Proven experience leading engineering teams and shipping complex production software. Architectural Vision: Strong system design skills across both product logic and scalable infrastructure. Hands-on Mindset: Willingness to "get into the trenches" when needed, especially in our lean, high-speed environment. Startup DNA: Experience in scaling teams and processes from early stage to growth. Business Orientation: Ability to make difficult trade-offs to ensure product-market fit and business wins. Communication: Exceptional English (C1/C2) is a must – you will work daily with global investors and industry giants. Język Polski jest wymagany. Nice to have Deep roots in the Unreal Engine ecosystem or game developer tools market. Experience with AI-enabled SaaS products. Experience scaling infrastructure for high-traffic global platforms. What we offer Real Ownership: Equity option (ESOP) available for the right partner. Direct Impact: Direct connection to the biggest names in the Game Dev industry and global enterprise partners. Stability: Fully funded startup with a proven product-market fit and global ambitions. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Flexible Schedule: You are the master of your own time. Great Atmosphere: A small, tight-knit crew of passionate individuals who value changing the world while having a blast. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself and a link to your portfolio using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration .

🏢 Summary: CTO role in a fast-growing AI startup building Unreal Engine tools, responsible for owning the technical strategy, scaling the engineering team, and aligning product architecture (UE5 plugin, AI/Python backend, web stack) with business goals. The position combines strategic leadership with hands-on development across AI-driven systems. It requires bridging high-level vision with execution in a global, high-growth environment. 🗂️ Requirements: 7+ years of experience in technical leadership roles, Mandatory expertise in Unreal Engine, Strong background in AI and Python environments, Proven experience leading engineering teams, Experience delivering complex production software, Strong system design and scalable architecture skills, Willingness to perform hands-on development, Experience scaling teams and processes in startup environments, Ability to align technology decisions with business goals, Exceptional English proficiency (C1/C2), Polish language proficiency 📃 Skills: UnrealEngine, UE5, C++, Blueprint, Python, AI, SaaS, Web, Architecture, Infrastructure, Security, Testing 🏢 Description: About Ludus AI Ludus AI is already empowering over 26 000 Unreal Engine developers worldwide with advanced AI tools for C++, Blueprint, and 3D asset generation directly inside the engine. We’ve seen what’s possible when AI removes the friction from creation, and now we’re scaling our technology to make AI-driven development the new industry standard. We are an ambitious, fully funded startup building the future of game dev — and we want you to be a part of this. Check it out at https://ludusengine.com 🚀. Why this role exists We are looking for a CTO who will be a true co-driver of the company’s success. This is a high-trust leadership role for a technical visionary who understands the market, can scale a startup, and connects business outcomes with technology choices. You will bridge the gap between high-level strategy and hands-on execution, ensuring our team stays focused on the goals that move the needle. What you will do Technical Strategy: Own the technical roadmap and architecture across the entire product (UE5 plugin + Python backend/AI services + Web stack for user facing interfaces). Strategic Leadership: Co-lead the company with the CEO, translating business vision into executable milestones and measurable outcomes. Engineering Excellence: Set and enforce high engineering standards (quality, reviews, testing, release discipline) to ensure speed without sacrificing reliability. Team Scaling: Lead, mentor, and grow our engineering team; own the hiring and onboarding processes for future talent. Global Engagement: Represent Ludus AI in front of investors, enterprise clients, and global partners (gamedev and beyond). Risk Management: Mitigate technical debt and manage security, performance, and long-term maintainability. Culture Architect: Foster a healthy, ambitious, and transparent engineering culture. Hand-on development: When required, you are not afraid to get hands-on with a variety of different challenges in multiple coding languages. Requirements Expertise: 7+ years of experience in technical leadership, with mandatory expertise in Unreal Engine and a solid background in AI and Python environments. Leadership Track Record: Proven experience leading engineering teams and shipping complex production software. Architectural Vision: Strong system design skills across both product logic and scalable infrastructure. Hands-on Mindset: Willingness to "get into the trenches" when needed, especially in our lean, high-speed environment. Startup DNA: Experience in scaling teams and processes from early stage to growth. Business Orientation: Ability to make difficult trade-offs to ensure product-market fit and business wins. Communication: Exceptional English (C1/C2) is a must – you will work daily with global investors and industry giants. Język Polski jest wymagany. Nice to have Deep roots in the Unreal Engine ecosystem or game developer tools market. Experience with AI-enabled SaaS products. Experience scaling infrastructure for high-traffic global platforms. What we offer Real Ownership: Equity option (ESOP) available for the right partner. Direct Impact: Direct connection to the biggest names in the Game Dev industry and global enterprise partners. Stability: Fully funded startup with a proven product-market fit and global ambitions. Total Autonomy: One weekly sync, no micro-management, 100% remote (anywhere). Flexible Schedule: You are the master of your own time. Great Atmosphere: A small, tight-knit crew of passionate individuals who value changing the world while having a blast. How to apply? If you're ready to join our team, send your CV along with a few sentences about yourself and a link to your portfolio using the form below! ❗Important: As part of your application, please include description of how you use AI tools during your daily work, and models/frameworks you have used so far! We use AI as the foundation of our work. Applications without the information above might not be taken into consideration .

🏢 Summary: Backend Engineer role focused on building and scaling the core architecture behind AI Agents, including reasoning layers, RAG systems, and high-volume conversational infrastructure. The position involves designing agentic orchestration, modernizing legacy systems, and integrating AI capabilities into scalable microservices running in production. You will work hands-on with LLM integrations, vector databases, and cloud-native infrastructure to support millions of daily conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on expertise in Node.js, Strong hands-on expertise in TypeScript, Experience with async programming, queues, and streams, Experience with real-time communication (WebSockets, service-to-service messaging), Commercial experience implementing RAG and Agentic systems in production, Experience with Function Calling and LLM integrations, Deep understanding of context management and multi-turn conversations, Experience with SQL databases (PostgreSQL), Experience with NoSQL databases (Elasticsearch), Experience with Vector Databases and embeddings, Experience with Google Cloud Platform, Experience with Kubernetes, Ability to design and maintain RESTful APIs, Experience working with microservices and scalable systems 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, LangGraph, LLMs, RAG, MCP, PubSub, WebSockets, SSE, Webhooks, Prometheus, Grafana, Vitest, Supertest, Playwright, Go, ETL, Microservices, Concurrency, Async, Streams, Queues, GitHubActions 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Senior Backend Engineer role focused on building and scaling the core AI backend powering advanced AI Agents, including reasoning layers, RAG systems, and real-time integrations. The position involves designing scalable architectures, implementing agentic orchestration with tool calling, and modernizing legacy systems into a high-performance AI ecosystem. You will work hands-on with Node.js and TypeScript to deliver production-ready AI-driven features handling millions of conversations. 🗂️ Requirements: 6+ years backend development experience, Strong hands-on Node.js experience, Strong hands-on TypeScript experience, Fluency in async programming, queues, streams, Experience with WebSockets and async messaging, Commercial experience implementing RAG systems, Experience with Function Calling in production, Experience building Agentic systems, Context window and multi-turn conversation management, Experience with SQL and NoSQL databases, Experience with Vector Databases and embeddings, Experience with GCP and Kubernetes, Experience with microservices architecture, Experience with Docker-based deployments 📃 Skills: Node.js, TypeScript, PostgreSQL, Redis, Elasticsearch, Pinecone, pgvector, GCP, Kubernetes, Docker, PubSub, WebSockets, SSE, LLMs, LangGraph, RAG, MCP, GitHub, Prometheus, Grafana, Vitest, Supertest, Playwright, Go 🏢 Description: About your team You’ll join AI Engines – the team building the backend “brain” of AI Agents in Text App. These aren’t your average scripted bots. Our AI Agents understand context, communicate naturally, and take meaningful actions: from digging through the Knowledge Hub to answer customer queries, to guiding human agents, or triggering automations in third-party tools via Copilot. To make this happen, we need to design highly scalable backend systems capable of handling millions of conversations daily. We build the APIs, develop the reasoning layers, and continuously push the boundaries of what our agents can actually do. You will be responsible for: Hands-on building, scaling, and maintaining the core backend architecture (Vector Database, AI Engines, Knowledge Hub, etc.). Designing and implementing an Agentic reasoning and orchestration layer using Skills and tool calling (a core building block of our architecture). Modernizing the core by taking full ownership of migrating legacy implementations into our modern, highly scalable AI ecosystem. Collaborating with our AI researchers to experiment with, validate, and confidently push new AI features straight to production. Mastering Context Engineering & R&D by moving way beyond basic prompt engineering. You'll be experimenting with and optimizing how our agents communicate with LLMs (taking full ownership of multi-turn conversations, tool calling, advanced RAG integrations, system prompt design, and history management). Designing RESTful APIs and service integrations for AI and data-heavy use cases, while migrating legacy implementations to a modern ecosystem. Integrating AI Agents with MCP servers, shaping how they interact with external ecosystems. Setting the standard by taking an active part in architecture discussions, code reviews, and technical decision-making, while bringing an extreme ownership and "fast flagging" mindset to the team. You may be a good fit for this role if you: Have 6+ years of experience in backend development, with strong, recent, hands-on expertise in Node.js and TypeScript in recent projects . We need someone who is fluent in async programming, queues, and streams, and can jump into our codebase on Day 1. Have hands-on experience with real-time communication (WebSockets, async service-to-service messaging). Have proven commercial experience building AI-driven features . You don't just know the concepts—you’ve actively implemented RAG, Function Calling, and Agentic systems in production. A deep understanding of Context Engineering. You know that it’s no longer just about "writing good prompts." You have proven experience managing context windows, multi-turn conversation history, and tool calling within Agentic or RAG ecosystems. Have a solid grasp of database ecosystems, including SQL (Postgres) , NoSQL (Elasticsearch) , and Vector Databases (e.g., Pinecone, pgvector), along with the mechanics of embeddings. Know how to run and scale services on Google Cloud Platform and Kubernetes. Enjoy solving complex technical challenges in microservices, concurrency, and performance optimization. Bonus if you also: Experience with Go (Golang) is a strong plus. Have experience building Data Pipelines or ETL processes. Previous work on SaaS products, low-code/no-code platforms, or workflow automation. Our Tech Stack: (Let’s be transparent: while we value curiosity and a growth mindset, solid hands-on experience with Node.js and TypeScript is a strict requirement for this role. We are happy to give you time to learn our specific AI frameworks and databases on the go, as long as your core backend skills are top-notch.) Core (Must-have) : Node.js, TypeScript Databases : PostgreSQL, Redis, ElasticSearch Scalability & communication : PubSub, Webhooks, SSE AI-related : LLMs, LangGraph, Function Calling, Context Compression, MCP (Model Context Protocol) Infrastructure & deployment : Docker, GitHub Actions, Prometheus, Grafana Testing & reliability : Vitest, Supertest, Playwright How we work We’re a hybrid team – remote when it makes sense, onsite when it matters most. Once per quarter, your whole team spends 5 working days together at our Wrocław office – a time for focused execution, unblocking work, and driving key outcomes. Our office is open year-round – drop by anytime. Contract: B2B (self-employed). You’ll need a registered business in selected EU countries — either already set up or possible to register in your country . Please apply only if this works for you.

🏢 Summary: Backend engineering role focused on building scalable Python services and APIs for an AI platform used by enterprise customers. The position involves developing production backend systems, integrating AI components, and improving reliability in a collaborative engineering environment. Offers modern AI tooling, cloud-native development exposure, and growth opportunities within an AI-focused product team. 🗂️ Requirements: 2–5 years of backend application development experience, Python, REST APIs, Backend services, SQL, PostgreSQL, Asynchronous programming, Background job processing, AWS, Azure, GCP, Testing, Version control, AI development tools, English B2 📃 Skills: Python, FastAPI, Django, PostgreSQL, SQL, AWS, Azure, GCP, Docker, Redis, RabbitMQ, Kafka, TypeScript, REST, Git, CI/CD, ChatGPT, Copilot, Codex, Claude 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with real business tasks. We solve this problem by building a platform that helps AI understand business rules, workflows, and processes. This enables AI to make better decisions and provide accurate, reliable, and trustworthy results. Our technology is used by leading companies across multiple industries to automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just seconds. We work with leading technology partners and have been recognized for our innovative approach. Our mission is to help people everywhere get better answers through AI. About the Role We are looking for a Mid Backend Engineer to help build scalable backend services that power our AI platform. You'll work closely with experienced backend engineers, frontend developers, product managers, and platform engineers to develop new features, improve existing systems, and deliver reliable production software. This is a great opportunity to work on modern AI infrastructure while growing your technical skills in a collaborative engineering environment. Responsibilities - Build and maintain backend services, APIs, and background processing systems. - Develop scalable application logic using Python. - Collaborate with product managers and engineers to deliver new product features. - Integrate backend services with databases, external APIs, and AI components. - Monitor, troubleshoot, and improve production services. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Improve development workflows using AI tools and automation. - Continuously learn from production feedback and contribute to improving system reliability and performance. Requirements - 2–5 years of experience building production backend applications. - Good knowledge of Python. - Experience building REST APIs and backend services. - Understanding of relational databases (PostgreSQL or similar) and SQL. - Familiarity with asynchronous programming and background job processing. - Basic understanding of cloud platforms such as AWS, Azure, or GCP. - Understanding of software engineering best practices, testing, and version control. - Good communication skills and willingness to collaborate across engineering and product teams. - Experience using AI development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar. - English at B2 level or higher. Nice to Have - Experience with FastAPI, Django, or similar Python frameworks. - Experience working with Docker and CI/CD pipelines. - Familiarity with Redis, RabbitMQ, Kafka, or similar messaging technologies. - Experience building AI-powered applications or integrating LLM APIs. - Basic knowledge of TypeScript or frontend development. - Interest in distributed systems and cloud-native architectures. What We Offer - 20,000–24,000 PLN B2B (depending on experience). - Company stock options. - MacBook Pro. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on production AI systems used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - Career growth alongside experienced engineers in a fast-growing AI company. Our Culture and Values - Quality - We build reliable software with attention to detail and long-term maintainability. - Momentum - We move quickly, learn continuously, and improve through iteration. - Accountability - We take responsibility for our work and communicate openly. - Hard Work - We solve ambitious problems together and support each other along the way. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We collaborate, share knowledge, and succeed as one team.

🏢 Summary: Offer for an experienced Python Backend Developer to build and scale AI-driven web microservices using FastAPI and PostgreSQL. The role focuses on developing AI solutions with frameworks like LangChain/LangGraph and integrating them into modern, scalable systems. You will work on high-quality code, RAG-based architectures, and AI-powered features in close collaboration with a backend and AI team. 🗂️ Requirements: Minimum 3 years of commercial experience with Python in web application development, Practical experience with FastAPI, Experience building AI solutions using LangChain or LangGraph, Basic knowledge of prompt engineering, Practical knowledge of PostgreSQL, Proficiency with Git and GitHub, Ability to use AI coding assistants (e.g., GitHub Copilot, Claude Code) 📃 Skills: Python, FastAPI, LangChain, LangGraph, PostgreSQL, Git, GitHub, PromptEngineering, GitHubCopilot, ClaudeCode, AI, RAG, Microservices 🏢 Description: Lubisz mieć realny wpływ na to, co tworzysz? My też! Szukamy osoby z doświadczeniem, która wnosi pomysły, potrafi dostrzegać problemy i proponować rozwiązania. Pracujemy w środowisku opartym na zaufaniu, jakości kodu i odpowiedzialności. Stawiamy na proaktywność, samodzielność, dobrą komunikację i pracę zespołową. Jeśli szukasz miejsca, w którym masz realny wpływ - prześlij swoje CV 📩 🔧  Szukamy osoby, która ma: Minimum 3 lata komercyjnego doświadczenia z Pythonem, w tworzeniu aplikacji webowych (warunek konieczny) Praktyczne doświadczenie z FAST API Umiejętność budowania rozwiązań AI w oparciu o frameworki typu LangChain/LangGraph Podstawową wiedzę z zakresu prompt engineering Praktyczną znajomość PostgreSQL Biegła znajomość systemu kontroli wersji (GIT), przy użyciu np. GitHub Potrafi używać AI jako wsparcia podczas pisania kodu.(np. GitHub Copilot, Claude Code) Wysokie umiejętności komunikacyjne, samodzielność i nastawienie na rozwój Język polski biegły; j. angielski min. B2 (codzienna komunikacja) Nice to have: Praktyczna umiejętność pracy w środowisku AWS Umiejętność delegowania i zarządzania pracą agentów AI Doświadczenie w zakresie wektorowych baz danych (np. pgvector) Wiedza w zakresie monitoringu (np. LangSmith, Sentry, CloudWatch) Doświadczenie w pracy w modelu SDD (Spec-Driven Development) 🚀 Co będziesz robić na co dzień Tworzyć mikrousługi (FastAPI + PostgreSQL) Tworzyć nowe funkcje i integrować je z istniejącą bazą kodu Testować i debugować kod w celu zapewnienia jego poprawnego działania Skupiać się na jakości rozwiązań i doświadczeniu użytkownika Rozwijać umiejętności tworzenia wydajnych i skalowalnych systemów AI Współpracować z AI Tech Leadem oraz zespołem backend Projektować nowoczesne systemy oparte m.in . na RAG, A2A, MCP Wdrażać i usprawniać wewnętrzną bazę wiedzy w ramach podejścia SDD (Spec-Driven Development) 💡 Co oferujemy Wynagrodzenie: 12 600 - 19 320 zł netto B2B, zależnie od umiejętności oraz ocenionego poziomu Realny wpływ na decyzje techniczne Pracę z zespołem doświadczonych inżynierów (backend, frontend, QA, DevOps) Bliskość AI i szansa na zdobycie doświadczenia z LLM i agentami autonomicznymi Zaufanie i autonomię, nie tracisz czasu na procedury Merytoryczne dyskusje i szybki feedback - każdy głos się liczy Rozwój miękki i techniczny - warsztaty, dostęp do kursów i wiedzy eksperckiej Elastyczne godziny i core hours 10:00 - 15:00 Pracę zdalną lub hybrydową, 1-2 dni w tygodniu z biura (biuro w centrum Bielsku-Białej - kawa, ekspres, gry, wygodne stanowiska 😉) 🧩 Jak wygląda proces rekrutacji? Rozmowa wstępna z HR Business Partnerem, telefonicznie - 10-15 minut, część w j.angielskim Spotkanie techniczne (część w j. angielskim) - rozmowa + zadanie praktyczne Spotkanie z HR Business Partnerem - podczas którego poznamy się lepiej, porozmawiamy o Twoim doświadczeniu i o tym, co możemy zrobić wspólnie. 📩 Chcesz do nas dołączyć? Wyślij swoje CV! Przejrzymy każde zgłoszenie z uwagą - odezwiemy się do kandydatów, z którymi chcielibyśmy porozmawiać.

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.