Full-Stack Developer

🏢 Summary: Contract opportunity for a Fullstack Developer to design and deliver web applications using modern Python and JavaScript frameworks, with a focus on AI-driven solutions. The role involves building and maintaining backend services, developing responsive frontend interfaces, and deploying applications in a cloud environment. Onsite presence is required in the Greater Copenhagen Area with a hybrid setup. 🗂️ Requirements: Strong backend development experience with Python, Experience with FastAPI, SQLAlchemy, Alembic, Proficiency in JavaScript and TypeScript, Experience with React and NextJS, Experience with PostgreSQL, Knowledge of Qdrant or other vector databases, Experience with Azure cloud platform, Experience with Docker containerization, Ability to develop and maintain fullstack web applications, Availability to work onsite minimum 3 days per week 📃 Skills: Python, FastAPI, SQLAlchemy, Alembic, JavaScript, TypeScript, React, NextJS, PostgreSQL, Qdrant, Azure, Docker, LLM, LangChain, LangGraph 🏢 Description: Introduction & Summary We are seeking a highly skilled Fullstack Developer. The ideal candidate will possess extensive experience in backend and frontend development, with proficiency in Python and JavaScript frameworks. If you have a passion for developing innovative solutions and a keen interest in AI technologies. Main Responsibilities As a Fullstack Developer, you will be responsible for designing and implementing web applications and services. Your focus will be on enhancing user experiences through effective software solutions. Develop and maintain backend services using Python with FastAPI. Implement frontend solutions utilizing React / NextJS. Work with PostgreSQL (Relational) and Qdrant (Vector) databases. Utilize Azure and Docker for deploying applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure code quality and maintainability throughout the development process. Debug and optimize existing applications. Key Requirements Strong experience in backend development using Python (FastAPI, SQLAlchemy, Alembic). Proficient in frontend technologies, specifically Javascript/Typescript with React / NextJS. Experience with relational databases, particularly PostgreSQL. Knowledge of vector databases like Qdrant. Familiarity with cloud platforms such as Azure. Experience with Docker for containerization. Experience with LLM / AI technologies is a plus. Bonus: Familiarity with LangGraph / LangChain for Python. Nice to Have Previous experience with AI-driven applications. Understanding of software design patterns and best practices. Experience in agile development methodologies. Start: ASAP End: End of September 2026 Location: Greater Copenhagen Area Onsite/remote: min. 3 days onsite per week

🏢 Summary: Senior Backend Engineer role focused on designing, developing, and deploying scalable backend services and platform infrastructure using Python and FastAPI. The position involves working with PostgreSQL, Kubernetes, and CI/CD pipelines to deliver production-ready, high-performance systems. You will collaborate with cross-functional teams to build reliable, automated, and maintainable backend solutions. 🗂️ Requirements: 5+ years backend development experience in production environments, Strong proficiency in Python and FastAPI, Experience with relational databases, preferably PostgreSQL, Experience with TypeScript and Nx for tooling or automation, Hands-on experience with Kubernetes and Helm, Experience with Docker and containerization practices, Experience designing and maintaining CI/CD pipelines, Experience with observability, logging, and monitoring tools, Strong system design and problem-solving skills 📃 Skills: Python, FastAPI, PostgreSQL, TypeScript, Nx, Kubernetes, Helm, Docker, GitHubActions, CI/CD, AWS, GCP, Azure, Monitoring, Logging 🏢 Description: Our client is a leading European tech company building scalable, high-performance backend services and platforms for enterprise and AI-driven applications. Our mission is to combine cutting-edge backend technologies with reliable, automated DevOps practices, ensuring secure, maintainable, and high-quality systems for our clients. As a Senior Backend Engineer (Python / FastAPI) , you will play a key role in designing, developing, and deploying backend services, internal tools, and platform infrastructure. You will collaborate closely with product teams, frontend engineers, and DevOps to deliver robust, scalable, and production-ready solutions. Responsibilities: Develop and maintain backend services using Python (FastAPI) Work with PostgreSQL to design schemas, optimize queries, and ensure data integrity Build and maintain internal CLI tools using TypeScript Manage a monorepo using Nx Manage deployment workflows and infrastructure using Kubernetes (K8s) and Helm Implement CI/CD pipelines using GitHub Actions for automated testing and deployment Collaborate with cross-functional teams to improve system architecture, reliability, and scalability Troubleshoot and optimize performance across backend services and infrastructure Requirements: 5+ years of experience in backend development in a production setting with real users Strong proficiency in Python , especially building APIs with FastAPI Solid experience with relational databases, preferably PostgreSQL Experience with TypeScript / Nx for tooling or automation tasks Hands-on experience with Kubernetes (K8s) and Helm Familiarity with containerization best practices (Docker) Experience designing and maintaining CI/CD pipelines (GitHub Actions or similar) Strong problem-solving skills, system design thinking, and attention to detail Exposure to observability, logging, and monitoring tools Nice to Have: Experience with cloud platforms (AWS, GCP, Azure) Exposure to observability, logging, and monitoring tools Experience integrating backend systems with frontend or AI/ML pipelines Technology Stack: Backend: Python (FastAPI), PostgreSQL DevOps / Platform: Kubernetes (K8s), Helm, CI/CD (GitHub Actions) Internal tooling: TypeScript / Nx for CLI and automation tools Other: Docker, cloud infrastructure (AWS/GCP/Azure), monitoring and observability

🏢 Summary: Short-term (3–4 months) full-stack contract focused on building and enhancing secure backend and frontend features using Python and modern web technologies. The role involves developing REST APIs, implementing robust authentication mechanisms, and integrating security controls within cloud or hybrid environments. Collaboration with DevOps teams ensures reliable, secure deployments and scalable architectures. 🗂️ Requirements: Strong experience with Python and FastAPI, Proven experience building and consuming REST APIs, Experience with PostgreSQL and relational database design, Knowledge of OAuth2, OIDC, RBAC, and SSO integration, Experience with Docker and Kubernetes, Familiarity with CI/CD pipelines, Experience with software supply chain security practices, Ability to work in cloud or hybrid infrastructure environments 📃 Skills: Python, FastAPI, REST, PostgreSQL, OAuth2, OIDC, RBAC, SSO, Docker, Kubernetes, CI/CD, GitHub, GitLab, React, TypeScript, Next.js 🏢 Description: Full-stack Developer 3-4 months contract with possibility for extension Technical Requirements Strong experience with Python , especially FastAPI Proven experience building and consuming REST APIs Experience with PostgreSQL and relational database design Knowledge of authentication and security standards: OAuth2 , OIDC , RBAC , SSO integration Experience with DevOps tooling: Docker and Kubernetes Familiarity with CI/CD pipelines (GitHub Actions, GitLab CI or similar) Experience with software supply chain security: artifact validation, signature verification, compliance scanning, sandboxed execution Ability to work in cloud or on-prem / hybrid infrastructure environments Nice to have: Frontend experience with React , TypeScript , Next.js or similar SPA frameworks Required Technical Skills Python, Fast API, RESTful APIs, PostgreSQL, Docker, Kubernetes, CI/CD Main Responsibilities Designing and developing full-stack features across frontend and backend components Building and maintaining backend services using Python (FastAPI) and REST APIs Developing scalable data models and service architectures Implementing secure authentication and authorization mechanisms Integrating security controls and package validation tooling into the development lifecycle Working in collaboration with DevOps and infrastructure teams to ensure reliable deployments

🏢 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 Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 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: Full-Stack Software Developer role focused on developing and modernizing a complex platform using Python and React. The position involves backend and frontend ownership, migration to a modern tech stack, and deployment in AWS within an Agile environment. The developer will contribute to architectural decisions and CI/CD processes. 🗂️ Requirements: 5+ years of software development experience, Strong experience with Python, Experience with React, Practical knowledge of PostgreSQL, Experience designing and consuming REST APIs, Experience with AWS, Experience with CI/CD pipelines, Experience with end-to-end testing tools, Experience working in Agile environments (Jira or Confluence) 📃 Skills: Python, React, PostgreSQL, REST, AWS, GitHubActions, Playwright, CICD, Jira, Confluence 🏢 Description: We are currently looking for a Full-Stack Software Developer to join an international team working on the development and modernization of a complex software platform. The role involves taking ownership of both backend and frontend development during an ongoing project transition, including migration of existing functionalities to a modern technology stack. You will collaborate with a distributed Agile team and have real influence on the technical direction of the frontend architecture. Key Responsibilities Design, develop, and maintain full-stack applications using Python and React Develop and maintain RESTful APIs Work with PostgreSQL databases Participate in the migration of existing application components to a modern frontend framework Implement end-to-end testing using tools such as Playwright Manage CI/CD pipelines using GitHub Actions Deploy and maintain applications in AWS Collaborate with engineers in an international Agile environment Contribute to architectural discussions and technical decisions Requirements 5+ years of experience in software development Strong experience with Python Experience with React Practical knowledge of PostgreSQL and REST APIs Experience working with AWS Familiarity with CI/CD pipelines (e.g., GitHub Actions) Experience with end-to-end testing tools (e.g., Playwright) Experience working in Agile environments using tools such as Jira or Confluence Strong communication skills and a proactive mindset Nice to Have Experience with NumPy or SciPy Experience working in distributed engineering teams Experience participating in application migrations or system transitions

🏢 Summary: Senior / Staff Full Stack Engineer role focused on building and scaling an AI-driven product platform in a fully remote setup. The position involves developing React/TypeScript frontend experiences and Python-based backend APIs to support document processing, retrieval systems, and structured AI/ML outputs. The engineer will integrate frontend, backend, and AI workflows into a reliable, testable product experience. 🗂️ Requirements: 5+ years full stack engineering experience, Strong Python backend API development experience, Strong React and TypeScript production experience, Experience with modern API frameworks (e.g. FastAPI), Experience designing and consuming API contracts and structured JSON, Experience with asynchronous workflows and background jobs, Testing experience covering edge cases and API behavior, Understanding of AI/ML product workflows 📃 Skills: Python, React, TypeScript, FastAPI, API, JSON, AI, ML, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior / Staff Full Stack Engineer with strong Python and React experience to build and scale an AI driven product platform in a fully remote setup. The role focuses on frontend experiences, backend APIs, document processing, retrieval systems, and structured AI / ML outputs. ✅ Your responsibilities: Building frontend experiences in React and TypeScript for evidence review, workflow status, recommendations, and decision outputs. Developing backend APIs in Python, ideally with FastAPI, for document upload, asynchronous processing, job status, retries, partial success, and structured results. Connecting frontend, backend, data workflows, retrieval systems, and AI generated outputs into a reliable product experience. Building product features that make AI outputs easier to inspect through source references, confidence signals, warnings, and clear error states. Working with structured data, documents, tables, financial metrics, and normalized evidence flows. Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: 5+ years of professional full stack engineering experience. Strong experience with Python and backend API development. Strong experience with React and TypeScript in production applications. Experience with modern API frameworks, ideally FastAPI or similar. Understanding of AI / ML product workflows or strong interest in building software around AI outputs. Experience designing and consuming API contracts, schemas, and structured JSON payloads. Comfort with asynchronous workflows, background jobs, retries, partial failures, and user visible process status. Good testing habits, especially around edge cases, failure cases, and API behavior. ⭐ Nice to Have: Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic/Claude. Experience with data heavy products, including data workflows, document processing, data normalization, or working with structured evidence. Experience with cloud and data infrastructure, ideally Firebase, Firestore, Google Cloud Platform, Cloud Run, Cloud SQL, vector search, or Neo4j. 🌟 What we offer: 100% remote work Opportunity to work on modern ML/AI infrastructure Private healthcare and Multisport Life insurance Real influence on technical decisions and architecture Exposure to cutting-edge technologies Collaborative and supportive team environment

🏢 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