Senior Java Developer – AI and Financial Technology
⚲ Wrocław
21 000–24 150 zł netto (+ VAT) / mies.
Wymagania
- Java
- Spring Boot
- Angular
- Python
- TypeScript
Opis stanowiska
Nasze wymagania:
5+ years of professional experience in IT, with extensive Java and Spring Boot expertise.
At least 1+ year of hands-on experience deploying Large Language Models (LLMs) in production environments.
Deep knowledge of agent-based architectures such as ReAct, MCP, and orchestration frameworks.
Experience with Spring AI, LangChain4j, LLM API integrations, embeddings, and vector databases.
Familiarity with observability tools for AI systems and development of specification-driven solutions.
Proven ability to lead workshops and facilitate technical discussions.
A background in STEM disciplines.
Mile widziane:
Experience with Angular, Python, or TypeScript.
Knowledge of enterprise LLM integrations and advanced AI security measures.
O projekcie:
As a Senior Java Developer, you will be working for our client, a leader in the financial technology industry, focusing on integrating advanced AI tools into scalable systems. You will contribute to pioneering AI adoption using Java and Spring Boot within a collaborative, cross-team environment. Join us and help shape the future of intelligent finance solutions while accelerating your career growth.
Empower AI innovation—shape the future of intelligent finance solutions!
100% remote work.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
Develop and optimize Java-based applications and AI-powered features employing Spring Boot, ensuring high performance and reliability.
Lead the adoption and integration of AI-SDLC tools such as GitHub Copilot, Claude Code, and Copilot Extensions within development workflows.
Design and implement agentic and multi-agent system architectures, including ReAct patterns, MCP, and orchestration frameworks.
Collaborate on integrating LLMs via APIs, embeddings, vector databases, and ensuring observability and security in AI systems.
Conduct workshops and knowledge-sharing sessions on AI workflows, agentic development, and security best practices.
Contribute to specification-driven development processes, ensuring scalable and maintainable codebases.
Support continuous delivery and deployment pipelines with a focus on AI system integration.
Engage in cross-team collaboration to foster innovative AI-driven solutions in finance.
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
5+ years of professional experience in IT, with extensive Java and Spring Boot expertise.
At least 1+ year of hands-on experience deploying Large Language Models (LLMs) in production environments.
Deep knowledge of agent-based architectures such as ReAct, MCP, and orchestration frameworks.
Experience with Spring AI, LangChain4j, LLM API integrations, embeddings, and vector databases.
Familiarity with observability tools for AI systems and development of specification-driven solutions.
Proven ability to lead workshops and facilitate technical discussions.
A background in STEM disciplines.
Mile widziane:
Experience with Angular, Python, or TypeScript.
Knowledge of enterprise LLM integrations and advanced AI security measures.
O projekcie:
As a Senior Java Developer, you will be working for our client, a leader in the financial technology industry, focusing on integrating advanced AI tools into scalable systems. You will contribute to pioneering AI adoption using Java and Spring Boot within a collaborative, cross-team environment. Join us and help shape the future of intelligent finance solutions while accelerating your career growth.
Empower AI innovation—shape the future of intelligent finance solutions!
100% remote work.
Only candidates with an existing legal right to work in the European Union will be considered for this role.
Zakres obowiązków:
Develop and optimize Java-based applications and AI-powered features employing Spring Boot, ensuring high performance and reliability.
Lead the adoption and integration of AI-SDLC tools such as GitHub Copilot, Claude Code, and Copilot Extensions within development workflows.
Design and implement agentic and multi-agent system architectures, including ReAct patterns, MCP, and orchestration frameworks.
Collaborate on integrating LLMs via APIs, embeddings, vector databases, and ensuring observability and security in AI systems.
Conduct workshops and knowledge-sharing sessions on AI workflows, agentic development, and security best practices.
Contribute to specification-driven development processes, ensuring scalable and maintainable codebases.
Support continuous delivery and deployment pipelines with a focus on AI system integration.
Engage in cross-team collaboration to foster innovative AI-driven solutions in finance.
Oferujemy:
Stable and long-term cooperation with very good conditions
Enhance your skills and develop your expertise in the financial industry
Work on the most strategic projects available in the market
Define your career roadmap and develop yourself in the best and fastest possible way by delivering strategic projects for different clients of ITDS over several years
Participate in Social Events, training, and work in an international environment
Access to attractive Medical Package
Access to Multisport Program
Access to Pluralsight
Flexible hours
🔍 Dekoder Ogłoszenia
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extensive Java and Spring Boot expertise
Oczekuje się, że kandydat będzie nie tylko znał Javę i Spring Boot, ale także będzie w stanie rozwiązywać złożone problemy i projektować architekturę z ich wykorzystaniem.
🔴
At least 1+ year of hands-on experience deploying Large Language Models (LLMs) in production environments
Może to oznaczać zarówno faktyczne wdrożenie i utrzymanie LLMów, jak i pracę z narzędziami, które ułatwiają integrację LLMów, niekoniecznie samodzielne budowanie i optymalizację modeli.
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Deep knowledge of agent-based architectures such as ReAct, MCP, and orchestration frameworks
Wymagana jest nie tylko znajomość teoretyczna, ale przede wszystkim praktyczne doświadczenie w implementacji i zarządzaniu takimi architekturami.
🟡
Familiarity with observability tools for AI systems
Oznacza to, że kandydat powinien umieć monitorować i diagnozować problemy w systemach AI, a niekoniecznie być ekspertem w tworzeniu takich narzędzi.
🟢
accelerating your career growth
Jest to standardowy zwrot marketingowy, który może oznaczać realne możliwości rozwoju, ale też po prostu obietnicę bez konkretnych gwarancji.