Lead AI Software Developer

🏢 Summary: The offer is for a Senior Python Backend Engineer to design and maintain scalable, cloud-native backend systems on AWS, including REST APIs and AI/LLM integrations. The role focuses on distributed systems, asynchronous processing, observability, and high code quality within a modern CI/CD environment. It involves working with both serverless and containerized deployments in a collaborative, agile team. 🗂️ Requirements: 3–5+ years of professional Python backend development experience, Experience building cloud-native systems on AWS, Strong knowledge of REST API design and OpenAPI, Experience with asynchronous processing and queue-based architectures, Hands-on experience with core AWS services (Lambda, API Gateway, S3, IAM, ECS/EKS, CloudWatch), Knowledge of DynamoDB and NoSQL data modelling, Knowledge of PostgreSQL, SQL, and relational data modelling, Experience with serverless and containerized deployments, Experience integrating external APIs and third-party services, Experience with automated testing using pytest, Familiarity with CI/CD tools, Understanding of distributed systems, scalability, and reliability, Practical understanding of LLM-based or AI-driven applications, Ability to apply SOLID principles and clean code practices, Fluent English (written and spoken) 📃 Skills: Python, AWS, FastAPI, Pydantic, SQLAlchemy, boto3, REST, OpenAPI, Celery, SQS, Lambda, ECS, EKS, S3, CloudFront, IAM, SecretsManager, CloudWatch, DynamoDB, PostgreSQL, SQL, pytest, GitHubActions, Jenkins, NewRelic, Docker, Kubernetes, LLM, Cursor, Claude, Copilot 🏢 Description: We are looking for a Senior Python Backend Engineer with experience in building cloud-native backend systems on AWS. This role is focused on designing, developing, and maintaining scalable Python services, integrating AI/LLM-based capabilities, working with distributed systems, and ensuring high reliability, observability, and code quality. Your responsibilities: Design, build, and maintain backend services using Python in an AWS-based environment. Develop and maintain REST APIs together with clear OpenAPI documentation. Implement asynchronous processing and queue-based communication between services. Design data access patterns for application features using NoSQL and SQL storage. Integrate backend services with internal systems, external APIs, and AI/LLM-based components. Implement reliable communication patterns, including retries, timeouts, and circuit breakers. Build and maintain operational CLI tooling for day-to-day platform tasks (e.g. content ingestion). Contribute to architectural decisions across software and infrastructure as the stack evolves. Create observability for distributed systems, including logging, metrics, tracing, and alerting. Write automated tests and support high code quality across the backend codebase. Contribute to CI/CD processes and deployment automation. Collaborate with product, frontend, QA, DevOps, AI/ML teams, and content creators. Review code, share knowledge, and raise the bar for engineering practice across the team. We are looking for you, if you have: 3–5+ years of professional experience in Python backend development. Solid understanding of REST API design and OpenAPI standards. Experience with asynchronous processing and queue-based architectures, e.g. Celery, SQS. Experience with libraries and frameworks such as FastAPI, Pydantic, SQLAlchemy, boto3. Hands-on experience with core AWS services such as Lambda, API Gateway, S3, CloudFront, Secrets Manager, IAM, ECS/EKS, CloudWatch, etc. Good knowledge of DynamoDB and NoSQL data modelling. Good knowledge of PostgreSQL, SQL, and relational data modelling . Experience with both serverless (Lambda) and containerized (ECS/EKS) deployment models. Experience integrating with external APIs and third-party services. Experience with pytest and automated testing practices. Familiarity with CI/CD tools such as GitHub Actions and/or Jenkins. Experience with observability tools such as New Relic and CloudWatch. Understanding of distributed systems, scalability, reliability, and fault tolerance. Ability to apply SOLID principles, clean code practices, and common design patterns. Practical understanding of LLM-based applications or AI agentic frameworks. Ability to use AI development tools such as Cursor, Claude Code, or GitHub Copilot. Experience working in agile software development teams. Fluent English, both written and spoken. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: Senior Python Engineer role focused on designing and developing GenAI applications, including architecture, backend services, and AI integrations. The position involves building and maintaining APIs and microservices, integrating GenAI models (e.g., RAG, agentic workflows), and ensuring high-quality, well-tested solutions in cloud environments. The role requires close collaboration across the full project lifecycle while driving technical excellence in AI-powered systems. 🗂️ Requirements: 6+ years of experience in Python development, Fluency in Python ecosystem, Experience with FastAPI or Flask, Experience with SQL and NoSQL databases, Knowledge of clean code and design patterns in Python, Experience writing unit tests, Experience integrating GenAI models into business applications, Knowledge of RAG and agentic workflows, Experience building APIs and microservices, Familiarity with AWS, GCP, or Azure, Familiarity with Continuous Deployment, English C1, Polish C1 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, APIs, Microservices, AWS, GCP, Azure, CI/CD, UnitTesting 🏢 Description: 🚀 You will be responsible for: Design architecture of GenAI applications, Design, develop, and maintain Python code in AI applications and components, Code review and identification of areas of improvments, Collaborate with data scientists and machine learning engineers to utilize AI models in the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations to measure the performance of GenAI models, Stay up-to-date with the latest advancements in GenAI technologies, Contribute to a collaborative and innovative team culture. Additional advantages, but not required directly for the position: Knowledge of another object-oriented programming language (Java/C#/C++) Knowledge of Machine Learning algorithms and libraries (scikit-learn, PyTorch) 👉 What you will need: At least 6 years of experience and fluency in Python development ecosystem, Experience in building back-end services in Python with frameworks like FastAPI (or Flask ), SQL and NoSQL databases , Knowledge of clean code and design patterns in Python , strong attitude to build well structured, high quality solutions, Experience in writing robust unit tests for developed applications, Experience in using GenAI models in building business applications, Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies, Familiarity with Continuous Deployment lifecycle, Excellent problem-solving and analytical skills, Ability to work independently and as part of a team, Very good knowledge of English (C1) and Polish (C1) Strong communication and documentation skills 👉 What we offer: The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies. A supportive and collaborative work environment that fosters professional growth . Competitive remuneration and various bonuses, such as access to private medical care ( Medicover or Luxmed ) and sport ( Multisport ) cards, reimbursement for English classes , access to the Employee Capital Plan ( PPK ) and b udget for professional development. We mostly work remotely , but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions. Non-work-related activities galore! We have a running team (with a pro coach), internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program . Company culture rooted in respect and cooperation, not competition . You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.

🏢 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: Backend Engineer role focused on building production systems for AI agents, including backend services, APIs, and data pipelines for enterprise customers. The position involves designing reliable distributed systems, maintaining production services, and collaborating closely with cross-functional teams in a fully on-site Warsaw office environment. The company offers a modern AI-focused tech stack, B2B contract, stock options, and opportunities to contribute to open-source projects. 🗂️ Requirements: 3–5 years of experience building backend production systems, Strong Python skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Knowledge of SQL and NoSQL databases, Database design experience, Security-focused approach to system design, Ability to manage projects from idea to production, Strong written and spoken communication skills, Experience using AI tools in software development, Ability to work fully on-site in Warsaw 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, AI, TypeScript, APIs, GitHub, Copilot, Codex, Claude 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and handles real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a backend engineer with several years of experience who wants to take responsibility for real systems, not only complete assigned tasks. You will solve backend challenges, choose the best technical solutions, deliver new features, and support them in production. We are looking for someone with good technical skills, clear communication, and a desire to build systems that are simple, reliable, and easy to improve. You will help build production systems for AI agents, working on real problems for customers who already use our platform. The position is based in Warsaw and requires working from the office. Responsibilities Build backend services, APIs, data pipelines, and background processes for production systems. Turn business requirements into technical solutions and implementation plans. Monitor and maintain services after release, improving reliability, performance, and system monitoring. Design service interfaces and data models that fit well into the overall system. Create technical documentation and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers. Improve engineering processes using AI tools, automation, and better workflows. Help maintain high code quality through code reviews and design reviews. Requirements Around 3–5 years of experience building backend production systems. Strong Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failures, data consistency, asynchronous processing, and service communication. Experience with cloud platforms such as AWS, GCP, or Azure, and knowledge of SQL, NoSQL, and database design. A security-focused approach when working with sensitive data and system design. Ability to manage projects from idea to production with increasing responsibility. Good written and spoken communication skills, with the ability to explain technical decisions clearly. Experience using AI tools as part of your daily software development work. Nice to have Experience with AI agents, orchestration, retrieval systems, tool calling, or LLM-based infrastructure. Knowledge of TypeScript or willingness to work across the full technology stack. Experience taking on more responsibility and learning quickly. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team combines strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Senior Backend Developer role focused on designing and developing scalable backend services in Python for a global technology platform supporting digital services management and quotation processes. The position involves building REST APIs, integrating external systems, implementing business logic, and ensuring high performance and code quality. The role offers real impact on system architecture and collaboration within an international team. 🗂️ Requirements: Minimum 7 years of backend development experience in Python, Strong knowledge of Python frameworks (FastAPI, Flask, Django, NumPy, Pandas), Experience in designing and implementing REST API, Experience in system integrations and working with external services, Knowledge of software development best practices (testing, Git, code review, CI/CD), Experience in building scalable, production-ready backend solutions, Experience with databases and business data processing, Experience working in service-oriented architecture environment, Very good communication skills, Good command of English 📃 Skills: Python, FastAPI, Flask, Django, NumPy, Pandas, REST, API, Git, CI/CD, C#, C++, AWS, OpenAPI, Swagger, Pydantic, OR-Tools, PuLP 🏢 Description: Dołącz do międzynarodowego zespołu rozwijającego nowoczesną platformę technologiczną wykorzystywaną przez globalne organizacje do zarządzania usługami cyfrowymi i procesami ofertowania. Poszukujemy doświadczonego Backend Developera, który będzie miał realny wpływ na rozwój kluczowych komponentów systemu odpowiedzialnych za integracje, przetwarzanie danych oraz generowanie ofert dla klientów na całym świecie. Zakres obowiązków Projektowanie, rozwój i utrzymanie usług backendowych w Pythonie Tworzenie oraz rozwijanie REST API wykorzystywanych przez aplikacje i systemy zewnętrzne Implementacja logiki biznesowej związanej z procesami ofertowania i integracjami partnerskimi Integracja zewnętrznych źródeł danych oraz systemów dostawców Współpraca przy rozwoju istniejącej platformy opartej o technologie Python i C# Dbanie o jakość kodu poprzez testy jednostkowe, integracyjne oraz code review Refaktoryzacja i optymalizacja istniejących rozwiązań pod kątem wydajności i skalowalności Tworzenie i utrzymywanie dokumentacji technicznej oraz kontraktów API Współpraca z zespołami biznesowymi i produktowymi przy analizie wymagań oraz projektowaniu rozwiązań Udział w planowaniu prac, przeglądach sprintów oraz identyfikowaniu ryzyk projektowych Wymagania Minimum 7 lat doświadczenia w tworzeniu aplikacji backendowych w Pythonie Znajomość frameworków/bibliotek (np. FastAPI, Flask, Django, NumPy/Pandas) Bardzo dobra znajomość projektowania i implementacji REST API Doświadczenie w integracji systemów i pracy z zewnętrznymi usługami Znajomość dobrych praktyk programistycznych, takich jak testowanie, Git, code review oraz CI/CD Umiejętność tworzenia skalowalnych i produkcyjnych rozwiązań backendowych Doświadczenie w pracy z bazami danych oraz przetwarzaniem danych biznesowych Umiejętność pracy w środowisku opartym o architekturę usług i integracji Bardzo dobre umiejętności komunikacyjne oraz współpraca z interesariuszami biznesowymi Samodzielność, inicjatywa oraz poczucie odpowiedzialności za dostarczane rozwiązania Dobra znajomość języka angielskiego Mile widziane Znajomość C# lub/i C++ Doświadczenie z usługami chmurowymi AWS Doświadczenie z OpenAPI / Swagger oraz Pydantic Znajomość narzędzi do optymalizacji i rozwiązywania problemów (OR-Tools, PuLP lub podobne) Doświadczenie w środowisku SaaS, telekomunikacyjnym lub logistycznym Oferujemy Pracę przy rozwoju nowoczesnego produktu o globalnym zasięgu Możliwość realnego wpływu na architekturę i kierunek rozwoju platformy Współpracę z międzynarodowym zespołem specjalistów Dostęp do nowoczesnych technologii i dużych projektów integracyjnych Atrakcyjne wynagrodzenie oraz stabilne zatrudnienie Program emerytalny Hybrydowy model pracy Możliwość dalszego rozwoju technicznego i udziału w strategicznych inicjatywach biznesowych

🏢 Summary: Oferta dotyczy roli Backend Developera odpowiedzialnego za rozwój i utrzymanie kluczowych usług backendowych w Pythonie w globalnej platformie do zarządzania usługami cyfrowymi i procesami ofertowania. Stanowisko obejmuje projektowanie REST API, integracje z systemami zewnętrznymi oraz rozwój skalowalnych rozwiązań przetwarzających dane biznesowe. Rola daje realny wpływ na architekturę systemu oraz współpracę z międzynarodowym zespołem przy dużych projektach integracyjnych. 🗂️ Requirements: Minimum 7 lat doświadczenia w backendzie Python, Znajomość FastAPI, Flask lub Django, Bardzo dobra znajomość projektowania i implementacji REST API, Doświadczenie w integracji systemów i pracy z zewnętrznymi usługami, Znajomość testowania, Git, code review oraz CI/CD, Doświadczenie z bazami danych i przetwarzaniem danych biznesowych, Umiejętność tworzenia skalowalnych rozwiązań produkcyjnych, Doświadczenie w architekturze usług i integracjach, Bardzo dobra znajomość języka angielskiego 📃 Skills: Python, FastAPI, Flask, Django, NumPy, Pandas, REST, Git, CI/CD, SQL, C#, C++, AWS, OpenAPI, Swagger, Pydantic, OR-Tools, PuLP 🏢 Description: Dołącz do międzynarodowego zespołu rozwijającego nowoczesną platformę technologiczną wykorzystywaną przez globalne organizacje do zarządzania usługami cyfrowymi i procesami ofertowania. Poszukujemy doświadczonego Backend Developera, który będzie miał realny wpływ na rozwój kluczowych komponentów systemu odpowiedzialnych za integracje, przetwarzanie danych oraz generowanie ofert dla klientów na całym świecie. Zakres obowiązków Projektowanie, rozwój i utrzymanie usług backendowych w Pythonie Tworzenie oraz rozwijanie REST API wykorzystywanych przez aplikacje i systemy zewnętrzne Implementacja logiki biznesowej związanej z procesami ofertowania i integracjami partnerskimi Integracja zewnętrznych źródeł danych oraz systemów dostawców Współpraca przy rozwoju istniejącej platformy opartej o technologie Python i C# Dbanie o jakość kodu poprzez testy jednostkowe, integracyjne oraz code review Refaktoryzacja i optymalizacja istniejących rozwiązań pod kątem wydajności i skalowalności Tworzenie i utrzymywanie dokumentacji technicznej oraz kontraktów API Współpraca z zespołami biznesowymi i produktowymi przy analizie wymagań oraz projektowaniu rozwiązań Udział w planowaniu prac, przeglądach sprintów oraz identyfikowaniu ryzyk projektowych Wymagania Minimum 7 lat doświadczenia w tworzeniu aplikacji backendowych w Pythonie Znajomość frameworków/bibliotek (np. FastAPI, Flask, Django, NumPy/Pandas) Bardzo dobra znajomość projektowania i implementacji REST API Doświadczenie w integracji systemów i pracy z zewnętrznymi usługami Znajomość dobrych praktyk programistycznych, takich jak testowanie, Git, code review oraz CI/CD Umiejętność tworzenia skalowalnych i produkcyjnych rozwiązań backendowych Doświadczenie w pracy z bazami danych oraz przetwarzaniem danych biznesowych Umiejętność pracy w środowisku opartym o architekturę usług i integracji Bardzo dobre umiejętności komunikacyjne oraz współpraca z interesariuszami biznesowymi Samodzielność, inicjatywa oraz poczucie odpowiedzialności za dostarczane rozwiązania Dobra znajomość języka angielskiego Mile widziane Znajomość C# lub/i C++ Doświadczenie z usługami chmurowymi AWS Doświadczenie z OpenAPI / Swagger oraz Pydantic Znajomość narzędzi do optymalizacji i rozwiązywania problemów (OR-Tools, PuLP lub podobne) Doświadczenie w środowisku SaaS, telekomunikacyjnym lub logistycznym Oferujemy Pracę przy rozwoju nowoczesnego produktu o globalnym zasięgu Możliwość realnego wpływu na architekturę i kierunek rozwoju platformy Współpracę z międzynarodowym zespołem specjalistów Dostęp do nowoczesnych technologii i dużych projektów integracyjnych Atrakcyjne wynagrodzenie oraz stabilne zatrudnienie Program emerytalny Hybrydowy model pracy Możliwość dalszego rozwoju technicznego i udziału w strategicznych inicjatywach biznesowych

🏢 Summary: Backend Engineer role focused on building and maintaining REST APIs that power web and mobile applications for an AI-driven construction site supervision platform. The position involves developing scalable backend services, optimizing database queries, and contributing to a mature CI-driven development process in a Kubernetes-based cloud environment. 🗂️ Requirements: 1+ year of commercial or internship experience, Solid knowledge of Python, Good knowledge of SQL including query optimization, Experience with Git, Experience in developing APIs 📃 Skills: Python, SQL, Git, FastAPI, REST 🏢 Description: At AI Clearing, we disrupt the construction industry using AI! We are a Warsaw-based startup with global ambitions, that applies AI to supervise huge construction sites. Our SaaS platform is universally acclaimed by the biggest companies in the construction industry like Skanska, Eurovia, PCL, Neom and many more, and we already monitor dozens of mega construction sites across 6 continents. Now, we are entering the hyper-growth stage and we are heavily investing in new features and technologies to expand our platform. We are a fast-paced company with a flat organizational structure, which is an ideal place for ambitious people to accelerate their careers. We are very open to new ideas and there are lots of opportunities to grow! We have a mature development process with version control, code reviews, and automated CI pipelines. We invest in the latest technologies - we operate in the cloud on a Kubernetes native infrastructure and strive to keep the best engineering practices, so there are lots of things to learn and implement! As a Backend Engineer, you will join a team building our APIs providing data for the web and mobile frontend teams. Requirements: 1+ year of internship or professional experience Solid knowledge of Python Good knowledge of SQL, including query optimization Experience with Git Experience in developing APIs Communicative command of English (both written and spoken) Willing to work 3 days a week in our Warsaw office Responsibility and sense of ownership Nice to have: Basic knowledge of Kubernetes and Argo Workflows Experience with writing unit tests Responsibilities: implement and maintain REST API endpoints using FastAPI Write and fix unit tests to ensure code quality and reliability Write SQL queries and optimize their performance to support business logic Participate in code reviews and contribute to team coding standards Follow gitflow conventions and tag releases Cooperate with other technical teams What do we offer? Competitive salary Stock options plan (ESOP) - benefit from the company's success Flexible working hours Hybrid work (3 days in the office) Multi-sport card A lot of team-building events and parties Join our team and let’s create the unicorn startup together!

🏢 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.