Capco
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CAPCO POLAND *We are looking for Poland based candidate.
CAPCO POLAND
We are looking for Poland based candidate.
At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.
We are looking for an experienced Full-Stack Engineer to join Capco on a project within investment banking. The ideal candidate brings strong Python backend development expertise, hands-on experience with React and TypeScript, and a solid understanding of scalable APIs and cloud technologies. Experience with Generative AI, LLMs, RAG and AI agents is also important. You'll build secure, production-ready applications, combining strong engineering practices with a proactive, collaborative approach to problem-solving.
Design, build, test and maintain secure, scalable backend services and APIs, primarily using Python.
Deliver production-quality code through sound engineering practices: version control, automated testing, code review, CI/CD, and clear technical documentation.
Integrate services with internal platforms, data sources and third-party APIs, handling authentication, authorisation, resilience, and error management appropriately.
Build and support AI-enabled features, including integrations with LLMs, retrieval-augmented generation (RAG), prompt workflows, and agentic patterns.
Implement appropriate AI evaluation, monitoring, guardrails, and human oversight to ensure solutions are reliable, secure, and used responsibly.
Investigate and resolve defects, performance issues, and operational incidents; use logs, metrics, and traces to improve reliability.
Work with product, design, data, and engineering colleagues to turn requirements into practical, maintainable technical solutions.
Contribute to technical design discussions, estimate work realistically and deliver agreed outcomes to time and quality expectations.
Keep up to date with relevant engineering, AI and security practices, applying them pragmatically to day-to-day delivery.
Strong hands-on Python development experience, including building backend applications, services, and RESTful APIs.
Experience with common Python frameworks and tooling, such as FastAPI, Flask or Django; pytest; dependency/package management; and asynchronous programming where relevant.
Front-end development experience with React, TypeScript, JavaScript, and modern UI/component libraries.
Experience building full-stack applications or collaborating closely with frontend engineers on API contracts and user journeys.
Good understanding of software engineering fundamentals: clean code, object-oriented and/or functional design, testing, debugging, API design, and source control.
Experience working with relational and/or NoSQL databases, writing efficient queries and designing data models.
Practical experience building or integrating generative AI solutions using LLM APIs and orchestration frameworks.
Understanding of RAG, embeddings, vector stores, prompt design, agent workflows, model evaluation, and AI safety/guardrails.
Experience with cloud-hosted applications, containers, and CI/CD pipelines.
Awareness of secure development practices, including secrets management, access control, data protection, and dependency security.
Strong analytical and problem-solving skills, with the ability to work through ambiguous technical issues.
Clear written and verbal communication, able to explain technical decisions to engineers and non-technical colleagues.
Familiarity with observability tooling, such as application logging, monitoring, and distributed tracing.
Experience working in regulated, enterprise-scale or security-conscious environments.
HR Interview with the recruiter
Technical Interview
Client Interview
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