Build and maintain a scalable AI-powered document processing platform, developing TypeScript front-end components and Python backend services. Responsibilities include creating APIs, microservices, data pipelines, workflow automation, cloud deployments, automated tests, and production-grade integrations. The engineer will collaborate with GenAI, product, architecture, platform, design, and QA teams while contributing to system architecture, security, observability, documentation, and technical decision-making.
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 (70% frontend / 30% backend) 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, 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 AWS).
Key Responsibilities:
- Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks).
- Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, 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.
- Work with AWS.
- 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.
- Solid experience in Python (FastAPI, Flask, Django, or similar).
- Strong proficiency 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/GCP).
- 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 AWS.
- 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.
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
*not applicable for freelancers
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