Senior Full-Stack Python Engineer

🏢 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 Full-Stack Engineer role focused on designing and delivering scalable web applications using Python and modern frontend technologies within a global technology modernization program. The position involves architectural design, backend and frontend development, and building cloud-native solutions on AWS. The project is in an early stage, emphasizing system architecture, technology selection, and proof-of-concept development. 🗂️ Requirements: 5+ years of experience in modern web application development with React and Next.js, Experience in Python backend development with FastAPI or Django, Proven experience in architecting and scaling full-stack web applications, Hands-on experience with AWS services (Lambda, Step Functions, API Gateway, Fargate, Kinesis Data Streams), Experience with Infrastructure as Code using AWS CloudFormation, Experience with CI/CD pipelines and DevOps practices, Experience with GitHub Actions for automation, Experience in writing and maintaining unit and integration tests 📃 Skills: Python, React, Next.js, FastAPI, Django, AWS, Lambda, StepFunctions, APIGateway, Fargate, Kinesis, CloudFormation, GitHubActions, CI/CD, DevOps, REST, API, UnitTesting, IntegrationTesting 🏢 Description: Client Our client is one of the leading reinsurance service providers across the globe. Their technological platform is constantly evolving as they apply new and emerging technologies to their expanding business. Join a great company, not merely an individual project Project overview Clients’ technological platforms are constantly evolving as they adopt new and emerging technologies to support their expanding businesses. The team manages applications at the heart of clients’ core business strategies and supports a global user base. The nature of clients’ businesses demands high levels of agility, which in turn requires the team to be technically superior. The project is part of clients’ global technology modernization roadmaps. It aims to equip key business lines with the technology needed to address modern market challenges and seize new opportunities. The development focuses on core business applications using a modern AWS toolset with Python on the backend. As the project is in its early stages, a significant portion of the work involves architectural design, technology selection, and proof-of-concept (POC) activities. Position overview We are looking for a Senior Full-Stack Engineer with strong expertise in Python, React and Next.js on frontend who can design, architect, and deliver scalable systems. In this role, you will be responsible for designing and developing scalable, maintainable frontend architectures using React.js and Next.js, while also contributing to backend development leveraging modern Python-based technologies. This position offers the exciting opportunity to work on a cutting-edge project that is part of a broader technology modernization roadmap, utilizing advanced AWS tools and modern development practices. Responsibilities Design, build, and maintain high-quality backend systems using Python with frameworks such as FastAPI, Django, or similar. Make architectural decisions regarding component structure, API design, infrastructure and data flow. Develop, optimize, and maintain high-quality, scalable applications. Continuously improve and optimize performance and user experience. Collaborate closely with business domain leads, users, designers, Frontend and Backend engineers to ensure seamless integration of frontend components through APIs and smooth data flow. Optimize applications for performance, observability, and reliability. Perform testing before release. Write and maintain unit tests and integration tests to ensure code stability and reliability. Requirements 5+ years of experience in Modern Web Application development in particular React, Next.js Experience in Python-based backend development, especially with modern frameworks like FastAPI/Django. Proven experience in architecting and scaling full-stack web applications. Experience working with AWS (Lambda, Step Functions, API Gateway Fargate, Kinesis Data Streams) Extensive experience in writing and maintaining unit tests and integration tests. Experience with Infrastructure as Code frameworks like AWS CloudFormation. Experience with software automation platforms like GitHub Actions. Strong problem-solving skills and logical thinking, with the ability to quickly identify and resolve issues. Familiarity with CI/CD pipelines and DevOps practices. Nice to have Prior experience in working in Financial Services/Insurance industry. Prior experience working in an Agile/Scrum development environment.

🏢 Summary: Opportunity for a Lead Full Stack Engineer to provide technical leadership while building scalable, high‑performance applications using the Microsoft stack and modern cloud architecture. The role combines hands-on full stack development with active adoption of AI-assisted engineering practices across the SDLC. You will drive engineering excellence, mentor teams, and integrate AI capabilities into products and internal tools. 🗂️ Requirements: 7+ years experience with Microsoft stack (.NET, C#, SQL Server, T-SQL), Strong experience with .NET Core and Angular, Proficiency in JavaScript, HTML, CSS, Experience with Git, Experience designing scalable and maintainable systems, Knowledge of SOLID principles and design patterns, Experience with microservices architecture, Experience with Azure or other cloud platforms, Experience working in Scrum environments, Hands-on use of GenAI tools (Copilot, ChatGPT, Cursor) in SDLC, Experience integrating LLM APIs or AI capabilities into applications, Understanding of AI risks, testing, reviews, and compliance guardrails 📃 Skills: .NET, C#, SQL, T-SQL, .NETCore, Angular, JavaScript, HTML, CSS, Git, Azure, Microservices, SOLID, GenAI, LLM, Copilot, ChatGPT, Cursor 🏢 Description: About the Client: The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible. The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. Short Role Description: This is a great opportunity for an experienced Lead Full Stack Engineer to join our Software Development team as part of one of our established Scrum teams. Each agile team includes technical leadership, development, architecture, QA, product, and project management roles. We are looking for a strong engineering leader who combines deep hands-on development expertise with an AI-first mindset. This role requires an AI Champion — someone who actively applies AI tools across the Software Development Life Cycle and helps elevate engineering productivity, quality, and delivery standards through practical and responsible AI adoption. You will not only build high-performance applications, including high-traffic customer-facing platforms, but also act as a multiplier for engineering excellence by introducing modern practices, tools, and ways of working. Responsibilities: Provide technical leadership, mentorship, and hands-on support to engineers within the team. Design, develop, test, document, and maintain scalable backend and frontend solutions. Deliver high-quality, reusable, and maintainable code aligned with best engineering practices. Actively apply AI-assisted development approaches across design, coding, testing, and debugging. Drive improvements in engineering efficiency, quality, and delivery through practical AI usage. Produce clear and structured technical documentation. Provide realistic estimates and manage delivery timelines effectively. Participate in all Scrum ceremonies and contribute to team performance and continuous improvement. Coach teams on effective usage of GenAI tools and promote AI-first engineering culture. Requirements: 7+ years of experience with Microsoft development stack (.NET / C# / SQL Server / T-SQL). Strong experience with .NET Core, Angular, JavaScript, HTML, CSS, Git. Hands-on experience designing scalable and maintainable systems. Solid understanding of SOLID principles, design patterns, and microservices architecture. Experience working with cloud platforms (Azure preferred). Strong experience working in Scrum environments across different team setups. AI & Engineering Excellence Requirements: Proven hands-on experience using GenAI tools (e.g., Copilot, ChatGPT, Cursor, etc.) to improve development speed, code quality, testing, debugging, and documentation. Practical experience integrating LLM APIs or AI capabilities into applications or internal tools. Understanding of AI limitations, risks, and guardrails (testing, reviews, policies, compliance). Ability to introduce new tools and practices, influence teams, and scale adoption across engineering. Nice to Have: Experience building internal developer productivity tools or engineering automation solutions. Exposure to performance, scalability, and security requirements for large-scale platforms. Personal Attributes: Self-organising problem solver. Able to think outside the box (open thinking). Strong ability to work effectively in a team. Collaborating, motivating and energizing others (Team player). Encourage and drive others to deliver high-quality, cutting-edge software. You will have attention to detail and have a proactive ethos. Always looking for continuous improvement. Excellent verbal and written communication skills, in English. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Senior Full-Stack React and Python Developer role focused on building and enhancing an AI-driven investment research platform. The position involves developing React frontend features and Python/Node.js backend services, integrating REST APIs, and ensuring high-quality, scalable solutions in a fintech environment. Fully remote within the EU. 🗂️ Requirements: 6+ years Full-Stack development experience, Strong React experience with hooks, Backend development in Python or Node.js, Experience building and integrating REST APIs, Understanding of state management patterns, Ability to work across frontend and backend, Experience with code reviews, Strong debugging skills across full stack, Fluent English, Legal right to work in the EU 📃 Skills: React, JavaScript, Python, Node.js, REST, APIs, HTML, CSS, Git 🏢 Description: Empower innovation at the forefront of financial technology — shape the future of AI-driven investment research! EU-based opportunity with a remote work model (up to 5 days per week). As a Senior Full-Stack React and Python Developer , you will be working for our client, a pioneer in building AI-powered infrastructure for investment research. You will contribute to automating expert interviews, managing global expert networks, and delivering critical insights to hedge fund clients under strict compliance standards. Join a growing platform that is redefining data-driven finance and unlock new career heights in a cutting-edge environment. Your main responsibilities: Build and iterate on React-based frontend features for our web application. Develop and maintain backend services in Python and/or Node.js. Integrate frontend components with REST APIs and data services. Participate in code reviews and promote engineering best practices. Debug issues across the entire stack—from UI rendering to API behavior. Collaborate with design and product teams to implement clean, user-friendly interfaces. You're ideal for this role if you have: At least 6 years of experience as a Full-Stack Developer, ideally within fintech or data-heavy environments. Strong React experience with modern hooks-based development. Backend development experience in Python and/or Node.js. Comfort working across the full stack and owning features end-to-end. Solid understanding of REST APIs and state management patterns. Clean coding habits and familiarity with code review processes. It is a strong plus if you have: (optional) Experience with TypeScript on both frontend and backend. Knowledge of cloud deployment platforms such as Azure or AWS. Background in financial technology, data-intensive applications, or compliance-focused products. Experience with testing frameworks like Jest or Pytest. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Remote Senior Python AI Developer role focused on building and scaling an AI-driven product platform. The position involves developing backend APIs, AI/ML workflows, document processing, retrieval systems, and integrating structured data into reliable, user-facing features. You will contribute across backend and frontend to deliver explainable, production-ready AI-powered solutions. 🗂️ Requirements: 5+ years professional software engineering experience, Strong experience with Python, Experience building backend APIs, Experience with FastAPI or similar frameworks, Experience with AI/ML product workflows, Experience designing and consuming API contracts and JSON schemas, Experience with asynchronous workflows and background jobs, Experience handling retries, partial failures, and process status, Commercial experience with React, Commercial experience with TypeScript, Experience writing tests for APIs and edge cases, Experience with retrieval systems, embeddings, or LLM APIs 📃 Skills: Python, FastAPI, AI, ML, APIs, JSON, React, TypeScript, LLM, OpenAI, Gemini, Anthropic, Embeddings, Vector, Firebase, Firestore, GCP, CloudRun, CloudSQL, Neo4j 🏢 Description: We are looking for a Senior Python AI Developer to build and scale an AI driven product platform in a fully remote setup. The role focuses on developing reliable product features around AI / ML workflows, document processing, retrieval systems, structured data, and user facing outputs that need to be clear, explainable, and easy to inspect. ✅ Your responsibilities: ・Developing backend APIs in Python with FastAPI , for document upload, asynchronous processing, job status, retries, partial success, and structured results. ・Building product workflows around AI outputs, retrieval systems, document processing, and structured data . ・Connecting backend services, frontend applications, data workflows, and AI generated outputs into a reliable product experience. ・Creating user facing 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. ・Contributing to frontend features using React and TypeScript , especially around workflow status, evidence review, recommendations, and decision outputs. ・Writing tests around API contracts, edge cases, error cases, and realistic user workflows. 🧠 Our requirements: ・5+ years of professional software engineering experience. ・Strong experience with Python and backend API development. ・Experience with modern API frameworks, ideally FastAPI or similar. ・Good 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. ・Commercial experience with modern frontend applications, preferably with React and TypeScript . ・Good testing habits, especially around edge cases, failure cases, and API behavior. ・Experience with AI / ML product workflows, including retrieval systems, embeddings, vector search, LLM based applications, or LLM APIs such as OpenAI, Gemini, Anthropic / Claude. ⭐ Nice to have: ・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 a modern AI / ML product platform. ・Private healthcare and Multisport. ・Life insurance. ・Real influence on technical decisions and architecture. ・Exposure to modern AI, data, and product engineering challenges. ・Collaborative and supportive team environment.

🏢 Summary: Senior Fullstack Engineer role focused on delivering full-stack solutions within an AI-integrated SDLC where AI is embedded across planning, development, review, testing, and deployment. The position combines backend and frontend engineering with AI orchestration, automation, and cloud-native architecture in a remote-first setup. The engineer will also evolve shared AI toolchains and contribute to architectural and code quality standards. 🗂️ Requirements: Team-level AI-integrated SDLC experience across planning, development, review, testing, deployment, Shared AI toolchain management under version control, Hands-on use of Claude Code, GitHub Copilot, Cursor or equivalent as team tools, Building and maintaining custom AI skills and sub-agents for team use, Experience with parallel AI agent orchestration, Spec-driven development using OpenAPI, ADRs, PRDs as AI context, AI-assisted code review integrated into PR process, Working knowledge of AI orchestration frameworks, Backend development with .NET / C# and ASP.NET Core, Frontend development with TypeScript and React or Angular, Experience with SQL databases and ORM frameworks, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP) 📃 Skills: C#, .NET, ASP.NET, SQL, SQLServer, PostgreSQL, EFCore, OAuth, JWT, Python, Java, Node.js, TypeScript, JavaScript, React, Angular, LangChain, LlamaIndex, CrewAI, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, OpenAPI, CQRS, DDD, EventSourcing, Microservices 🏢 Description: We are looking for a Senior Fullstack Engineer who combines deep technical expertise with real, team-level experience working in an AI-integrated software development lifecycle. Individual use of AI coding assistants is not sufficient for this role. We are specifically looking for engineers who have worked in teams where AI was embedded into every phase of delivery — from planning and design through development, review, testing, and deployment. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. AI-First Requirements Experience working in an AI-enabled engineering team is mandatory — not a personal workflow preference. You have been part of a team where AI was systematically embedded across all delivery phases: planning, development, review, testing, and deployment. You can speak from direct experience about how it worked, what failed, and what you would change. Specific mandatory requirements: Team-level AI-integrated SDLC experience — shared toolchain, shared configurations, shared assets under version control Hands-on with Claude Code, GitHub Copilot, Cursor, or equivalent as a team tool, not only personal usage Built and maintained custom skills and sub-agents used across a team, not just personally Experience with parallel agent orchestration for concurrent workstream execution Disciplined plan → review plan → execute approach with AI involved at every phase Maintained shared prompt libraries, skill repositories, or agent configurations in version control AI-assisted code review integrated into the PR process: CodeRabbit, Copilot review, or similar Experience with spec-driven or document-driven development where structured specifications (OpenAPI, ADRs, PRDs) serve as AI context inputs, not just human references Working knowledge of at least one AI orchestration framework: LangChain, LlamaIndex, Microsoft Agent Framework, CrewAI, or equivalent Automation-first mindset: proactively identify repetitive or inefficient parts of current work and automate them using AI and other available tools. Cost-aware AI usage: understanding how AI credits are consumed across different tools, models, and workflows, and ability to choose the most appropriate model or approach for each task. Technical Requirements Backend: .NET / C#, ASP.NET Core, SQL Server / PostgreSQL, EF Core, OAuth 2.0 / JWT. Python, Java, or Node.js is a strong plus. Frontend: TypeScript, JavaScript, React(preferable) and/or Angular, state management, async patterns, frontend testing. Architecture: Full spectrum from monolith to microservices — DDD, CQRS, Event Sourcing, event-driven design, message brokers. Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions / Azure DevOps), Azure / AWS / GCP, structured observability. Responsibilities Deliver full-stack features to a high standard of quality, performance, and reliability Contribute to architectural decisions and system design trade-offs Evolve and maintain the team's shared AI toolchain across all SDLC phases Conduct code reviews including AI-assisted tooling; uphold and enforce engineering best practices Proactively surface risks, bottlenecks, and security concerns Communicate and collaborate directly with clients in English Mentor engineers on both technical fundamentals and AI-augmented workflow practices Professional Qualities Ownership mindset · Strong written and verbal English · Comfortable in client-facing roles · Raises the AI workflow maturity of those around them

🏢 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 Full-Stack Engineer role focused on building AI-powered products and internal platforms using Python and modern frontend frameworks. The position involves developing cloud-native systems, contributing to agentic AI initiatives, and delivering secure, production-grade solutions handling sensitive data. You will work in agile teams to create end-to-end features across backend, frontend, cloud, and AI components. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, Minimum 7 years of software development experience, Senior-level experience in large tech environment, Strong backend experience with Python and FastAPI in production, Solid frontend experience with Vue or other modern JavaScript framework, Hands-on experience with AWS, Azure, or GCP, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production, Understanding of agentic AI concepts or architectures, Knowledge of engineering best practices and secure coding 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, AzureAISearch, CrewAI, MicrosoftAgentFramework, AWSAgentCore, A2A, MCP 🏢 Description: We’re looking for a Senior Full‑Stack 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) and modern frontend frameworks, with a preference for Vue, though 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. Solid frontend experience with Vue or another modern JavaScript framework. 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. 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. 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. Why join You’ll work on real AI products, help shape an evolving agentic ecosystem, and contribute to a modern engineering environment where innovation meets strong security and compliance standards. Your work will directly influence how AI is used across the organization.

🏢 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: Senior Lead Full Stack & AI Engineer role focused on architecting and delivering enterprise-scale, cloud-native data management solutions on GCP using Python and React. The position combines hands-on full-stack development, AI/ML implementation, and technical leadership to drive regulatory-compliant, production-grade systems. Responsibilities include defining architecture, leading delivery, and embedding AI capabilities into large-scale data platforms. 🗂️ Requirements: 7+ years enterprise software development experience, 2+ years technical leadership experience, Expert proficiency in Python backend frameworks (Flask, FastAPI, Django), Strong expertise in React JS with JavaScript/TypeScript, Experience architecting and deploying solutions on GCP, Hands-on implementation of AI/ML solutions, Experience with microservices and RESTful APIs, Experience with SQL and NoSQL databases, Experience with Docker and Kubernetes, Experience with CI/CD and Infrastructure as Code (Terraform) 📃 Skills: Python, Flask, FastAPI, Django, React, JavaScript, TypeScript, GCP, CloudRun, GKE, BigQuery, CloudStorage, PubSub, VertexAI, AI, ML, Microservices, REST, SQL, NoSQL, Docker, Kubernetes, Terraform, CI/CD 🏢 Description: HSBC is seeking an accomplished Lead Full Stack & AI Engineer to join our Data Management Technology team under CTO Data Technology. This senior leadership role demands extensive expertise in full-stack development with Python and React JS, cloud engineering on GCP, and AI/ML implementation, combined with proven team leadership and delivery excellence. Key Responsibilities Lead the design, architecture, and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend) Define technical strategy and roadmap for AI-powered data management solutions on GCP Drive implementation of AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments Establish architectural standards, design patterns, and best practices for cloud-native applications on GCP Lead, mentor, and grow a team of full-stack engineers and AI specialists, fostering a high-performance culture focused on delivery excellence Own end-to-end technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.) Develop comprehensive project plans with clear milestones and drive execution with urgency while maintaining quality and security standards Partner with Risk, Compliance, Data Governance, and Business teams to translate requirements into scalable technical solution. Required Skills 7+ years of relevant technical experience in enterprise software development with at least 2+ years in leadership roles. Write good quality code and automated Test cases Expert-level proficiency in Python for backend development (Flask, FastAPI, Django) and strong expertise in React JS with modern JavaScript/TypeScript for frontend Proven experience architecting and deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI Good hands-on experience implementing AI/ML solutions. Deep understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases Demonstrated experience leading technical teams (5-15 members) with proven track record of delivering large-scale projects on time and with high quality Strong understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices Experience with agile methodologies, DevOps practices, CI/CD implementations (Docker, Kubernetes), and infrastructure as code (Terraform)