AI Backend Engineer with Django experience

🏢 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: 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: Senior Python Backend Engineer role focused on building and scaling AI-driven services and APIs for clinical trial risk detection, with strong emphasis on AI-assisted development and LLM integration. The position involves designing robust backend systems, integrating OpenAI-based capabilities, and solving performance and architectural challenges in a data-intensive SaaS environment. You will work with modern Python frameworks and cloud-native technologies in an Agile setup. 🗂️ Requirements: 6+ years of professional software development experience, Strong production-level Python experience, Experience building and consuming REST APIs, Daily professional use of AI coding assistants (e.g. GitHub Copilot), Familiarity with Specification-Driven Development (SDD), Working knowledge of BMAD methodology for AI/ML features, Experience with SQL and/or NoSQL databases, Understanding of Agile/SCRUM methodology, Knowledge of software design and architectural patterns (SOLID, Clean Architecture), Fluent English for technical collaboration 📃 Skills: Python, FastAPI, Flask, Pyramid, REST, OpenAI, GitHub, Copilot, SDD, BMAD, SQL, MySQL, MongoDB, CosmosDB, Kubernetes, Docker, Git, Celery, Temporal, Azure, CI/CD, SOLID, Agile, SCRUM 🏢 Description: About the client: Our client is a  cutting-edge, technology focused SaaS company that provides a better way of detecting and managing risks that may impact the outcome of clinical trials. Their solutions are driven by a unique set of algorithms that interrogate clinical and operational data in real-time centrally to conveniently illuminate outliers and anomalies in data. Role description You will join a 100+ strong Engineering team driving the future of data-driven statistics, machine learning, and AI software solutions. As part of a talented group of Python developers within a dynamic, fast-scaling company, you will tackle meaningful engineering challenges — and now, you will be at the forefront of integrating AI-assisted development practices into the team's everyday workflow. Our backend engineers primarily work with Python and FastAPI, broader tech stack includes: Kubernetes, Docker, Flask, Pyramid, Git, MySQL, Mongo, Azure Cosmos Db, Celery, Temporal Responsibilities: •    Design, build and maintain robust, scalable Python services and APIs •    Integrate and extend AI/LLM capabilities using the OpenAI API and related tooling •    Accelerate development velocity through effective use of GitHub Copilot and AI-assisted code review •    Apply SDD practices to ensure features are specification-aligned and well-documented from day one •    Refactor existing codebases and perform thorough peer code reviews •    Solve complex performance bottlenecks and architectural challenges at scale •    Collaborate with Product and Design to translate end-user needs into pragmatic technical solutions •    Champion engineering best practices, clean code principles and knowledge sharing within the team Requirements: •    6+ years of professional software development experience •    Strong Python expertise — production-grade services, libraries and tooling •    Proven experience building and consuming REST-based web services •    Daily use of GitHub Copilot or equivalent AI coding assistants in a professional context •    Familiarity with SDD (Specification-Driven Development) workflows •    Working knowledge of BMAD delivery methodology for AI/ML features •    Solid understanding of SQL and/or NoSQL databases •    Clear understanding of Agile/SCRUM methodology •    Strong grasp of software design and architectural patterns (SOLID, Clean Architecture, etc.) •    Confident written and spoken English for daily collaboration in an international team Nice to have: •    Containerisation — Docker, Kubernetes or equivalent orchestration platforms •    Background in clinical data, life sciences or regulated software environments •    Contributions to open-source AI/ML projects •    Experience working with Azure, understanding of CI/CD

🏢 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: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: Freelance mid–senior Python Backend Developer role focused on building and maintaining scalable backend services and RESTful microservices in cloud environments. The position involves working primarily with Microsoft Azure, implementing CI/CD pipelines, and deploying containerized applications using Docker and Kubernetes. Engagement is project-based with flexible availability and compensation based on hours worked. 🗂️ Requirements: Strong commercial experience as a Python Backend Developer (mid–senior level), Hands-on experience with Microsoft Azure or GCP, Experience with FastAPI and/or Django, Proven experience designing RESTful APIs, Experience with scalable microservice architectures, Solid understanding of CI/CD pipelines and automated testing, Production experience with Docker and Kubernetes, Strong knowledge of SQL and NoSQL databases, Understanding of cloud architecture and scalability, Proficiency with Git 📃 Skills: Python, Azure, GCP, FastAPI, Django, REST, Microservices, CICD, Docker, Kubernetes, SQL, NoSQL, Git, AKS 🏢 Description: Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics. This job is for Freelance - you will go through the recruitment process normally. We would sign a freelance agreement, and once in place, we could reach out to you whenever a suitable project comes up. At that point, you would always have full flexibility to decide whether you have availability and would like to join. There is no obligation to accept future engagements, and between projects there is no commitment or payment – as is standard in freelance arrangements. We would simply compensate you for the hours worked on active assignments, without the need to sign a new contract each time. Tasks: Design, develop, and maintain backend services using Python . Build and optimize RESTful APIs and microservices . Work with Microsoft Azure (priority) to design, deploy, and manage cloud solutions. (Experience with GCP is acceptable as an alternative.) Implement CI/CD pipelines and automated testing workflows. Work with Docker and Kubernetes in production environments. Collaborate in an Agile/Scrum team and participate in code reviews, planning, and architecture discussions. What We're Looking For: Strong commercial experience as a Python Backend Developer (mid–senior level). Hands‑on experience with Azure (App Services, Functions, AKS, Storage, etc.). Experience with FastAPI and/or Django . Proven experience designing RESTful APIs and scalable microservice architectures. Solid understanding of CI/CD , automated testing, and deployment pipelines. Proficiency with Docker and Kubernetes in production. Comfortable working in English and collaborating in cross‑functional teams. Additional Expected Skills: Strong knowledge of SQL/NoSQL databases and data modeling. Understanding of cloud architecture patterns, scalability, and performance optimization. Familiarity with unit, integration, and end‑to‑end testing practices. Proficiency with Git and collaborative development workflows. Awareness of security best practices in cloud and backend environments. What Will Set You Apart: Experience with Databricks or other big‑data/data engineering platforms. Commercial experience with Golang . Full‑stack skills , especially with React. Experience with Infrastructure as Code tools (Terraform, Bicep, ARM templates). Knowledge of event‑driven architectures and messaging systems (Kafka, Azure Service Bus, etc.). Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

🏢 Summary: Senior backend‑heavy fullstack engineer to build a greenfield prenatal screening diagnostics product, owning features end‑to‑end across backend and frontend. The role focuses on Java/Spring Boot architecture, data modeling, APIs, and AWS infrastructure, with React/TypeScript contributions as needed. AI coding tools are expected as a core part of daily development in a regulated, production environment. 🗂️ Requirements: Strong Java and Spring Boot expertise, Experience designing APIs and domain models, Solid understanding of OOP and SOLID principles, Ability to define service boundaries and system architecture, Working proficiency in React and TypeScript, Proven experience using AI coding tools in daily development, Experience writing unit, integration, and API tests, Experience with PostgreSQL schema design and query optimization, Experience deploying and operating workloads on AWS, Ability to work in greenfield, ambiguous environments 📃 Skills: Java, Spring, SpringBoot, React, TypeScript, PostgreSQL, AWS, ECS, EKS, RDS, Lambda, S3, OOP, SOLID, REST, AI, Claude, Cursor, Testing 🏢 Description: Our client — a global leader in healthcare and diagnostics — is building a new prenatal screening diagnostics product from the ground up. We are looking for a senior backend‑heavy fullstack engineer who can own features end‑to‑end — from data modeling and APIs to the UI. The role offers real ownership within a highly regulated, impact‑driven product environment. Using AI tooling as a core part of daily engineering work is expected — not as an experiment, but as a standard way of building and delivering software. What You'll do: Own features end-to-end: design, implement, test, deploy, and maintain across the full stack. Work split ~80% backend, 20% frontend. Make foundational architectural decisions on a greenfield codebase — data models, API contracts, service boundaries, test strategy Build and maintain the Java/Spring Boot backend that powers the product's core logic Contribute to the React/TypeScript frontend when needed — you're backend-primary, but you ship UI when the team needs it Integrate AI coding tools into your daily workflow to accelerate delivery while maintaining code quality — and help the team adopt these practices Collaborate directly with product stakeholders to refine requirements in a fast-moving, low-ceremony environment Requirements: Strong Java and Spring Boot expertise — clean API design, domain modeling, sound architectural trade-offs. You think in terms of service boundaries, data flow, and maintainability, not just making it work Solid grasp of software design principles — object-oriented programming, SOLID, clean architecture, separation of concerns. You write code that the next person can read, extend, and trust. You know when a pattern helps and when it's ceremony Working proficiency in React and TypeScript — you can pick up frontend tasks, build components, and integrate with backend APIs independently Proven experience integrating AI coding tools (Claude Code, Cursor, or equivalent) into daily development workflow — including prompt design for code generation, output validation, and actively preventing AI-generated technical debt. You can describe concrete examples of where AI accelerated your delivery and where you chose to override it Testing as a professional discipline, not a checkbox — you write unit, integration, and API tests as part of delivery, own the test pyramid decisions, and treat untested code as unfinished code PostgreSQL — schema design, query optimization, migrations in a production context AWS experience — you've deployed and operated production workloads on AWS (ECS/EKS, RDS, Lambda, S3) and can make informed infrastructure decisions Comfort working in ambiguous, greenfield settings — you define scope with stakeholders rather than waiting for pre-scoped tickets Nice-to-Have: Infrastructure as Code (Terraform) Healthcare, diagnostics, or regulated-environment experience Security hardening practice — threat modeling, dependency scanning, secure defaults Observability tooling (CloudWatch, Prometheus, Grafana) CI/CD pipeline design (GitHub Actions or similar) Our offer: Permanent full-time contract (B2B contract) Ability to work entirely remotely or in one of our cool offices around Poland International project environment - challenging and rewarding projects Access to private medical service, life insurance, and multisport card Access to training and certificate courses (including free access to Udemy training platform) Cafeteria Benefits System - vouchers for purchases and sevices Awesome company events and parties

🏢 Summary: Senior or Staff Backend Engineer role focused on architecting and scaling AI-native backend systems for a modern accounting platform. The position involves designing distributed services, building high-performance APIs, and establishing engineering standards to support rapid, reliable product delivery. You will work closely with Product, AI, and Operations teams to develop agentic systems and scalable data pipelines. 🗂️ Requirements: 5–10+ years of backend engineering experience, Proven experience designing, building, and operating production backend systems at scale, Strong expertise in API design, Strong expertise in data modelling, Deep understanding of distributed systems trade-offs, Hands-on experience with AWS or GCP in production, Practical experience with CI/CD in high-frequency deployment environments, Experience implementing testing and deployment strategies, Strong knowledge of observability practices, Experience participating in on-call rotations 📃 Skills: TypeScript, Node.js, React, AWS, GCP, Terraform, PostgreSQL, OpenAI, Azure, CI/CD, APIs, DistributedSystems 🏢 Description: ABOUT THE ROLE We're looking for a Senior or Staff Backend Engineer to own and evolve our backend services as we scale. This is a broad, high-impact role — you'll architect new features, build the systems that underpin our core product, and set the engineering standards that shape how the whole team works. The focus is on building a modern, AI-native developer experience. That means working closely with Product, AI, and Operations teams to design agentic systems, distributed data pipelines, and scalable incident response infrastructure — and doing it in a way that lets the team ship with confidence multiple times a day. WHAT YOU'LL WORK ON Architecture and feature design Partner with Product, AI, and Operations teams to architect new features and complex agentic systems. Make clear architectural trade-offs that balance platform, product, and business goals. Backend services and APIs Build and maintain the backend services and APIs that power the core product. Ensure systems are secure, well-tested, and high performance. Distributed systems Design and implement distributed services to orchestrate data pipelines, automate investigations, and enable incident response at scale. Operational excellence Own operational best practices so the team can ship multiple times a day with confidence. Healthy on-call culture and strong observability are part of what you'll build and maintain. Engineering standards Set the bar for writing, communication, and system design across the team. Your influence will shape how a modern AI-native product is built. WHAT WE LOOK FOR 5–10+ years of backend engineering experience A strong track record designing, building, and operating production backend systems at scale. Deep backend fundamentals Expertise in API design, data modelling, and reasoning about distributed systems trade-offs. You understand the nuances, not just the patterns. AWS or GCP hands-on experience Solid understanding of how infrastructure decisions impact application reliability and performance. You've run things in production, not just designed them. CI/CD in practice Practical experience with testing and deployment strategies in high-frequency shipping environments. Observability and on-call maturity A solid grasp of what good observability looks like and how to build healthy on-call practices that don't burn people out. Bonus Experience at an early-stage or scaling startup. Exposure to modern AI and ML systems. Experience shipping product without a dedicated product manager. TECH STACK TypeScript, React, Node.js, AWS, Terraform, PostgreSQL, OpenAI, Azure AI. The team uses GitHub, Slack, Linear, Figma, and Notion day to day. THE TEAM Small, senior, and in-person. The office is in central Wrocław, next to the main train station. The expectation is 4–5 days a week in the office. Relocation support is available for the right candidate. COMPENSATION & BENEFITS Salary $130,000 – $190,000 USD depending on experience, plus competitive equity. Wellness and commute stipend $100 per month. Hardware Premium hardware provided — MacBook Pro and AirPods. Food Daily in-office lunch and dinner. Time off 20 PTO days plus 9 US public holidays. Relocation Support available for candidates relocating to Wrocław.

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.