Senior Software Engineer (Java, Agentic AI, Cloud)

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SeniorHybryda·WrocławFull-time·Umowa o pracę

#480012·Dodano wczoraj·0

Źródło: justjoin.it

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Tech Stack / Keywords

Java Spring Boot SpringAILLM CI/CD Docker Kubernetes

Podsumowanie oferty

Design and build Java software solutions, using agentic AI throughout the software development lifecycle. Work on enterprise APIs and distributed systems, and depending on the project, build or integrate LLM applications, AI agents and RAG capabilities. Contribute from design through production with architects, product teams and security.

Wymagania

Technical degree or equivalent professional experience and a strong foundation in software engineering.
Strong hands-on experience in Java development and its modern ecosystem, such as Spring or Spring Boot.
Solid understanding of software architecture, APIs, distributed systems, testing and software engineering best practices.
Practical experience using AI-assisted development tools and practices in the software development lifecycle.
Understanding of generative AI and LLM-based solutions, and willingness to further develop in this area.
Practical knowledge of cloud environments (Azure, AWS or GCP) and modern application delivery; comfortable developing software for the cloud.
Experience with CI/CD and modern development workflows.
Understanding of security, data protection and software quality in enterprise applications.
Fluent English at B2 level or above.

Nice to have:

Hands-on experience with AI agents, RAG, vector search, LLM integration or enterprise AI services.
Knowledge of Docker or Kubernetes.
Experience with technical leadership, mentoring or workshops.

Obowiązki

Design and develop high-quality Java applications and services using agentic software engineering practices.
Design APIs, integrations and distributed components for enterprise environments.
Apply AI-assisted software engineering practices across the software development lifecycle, including coding, testing, code review, documentation and engineering productivity.
Build or integrate generative AI capabilities, including LLM applications, AI agents, RAG, vector search and enterprise AI services, depending on project needs.
Design solutions to run effectively in modern cloud environments using appropriate cloud services, containers and CI/CD.
Lead technical implementations from PoC/MVP through production, working with architects and engineering teams.
Collaborate with Architecture, Data/AI and Security teams on quality, performance, maintainability and security.
Share engineering knowledge through code reviews, mentoring and technical discussions.

Benefity

Private medical care with Medicover, with additional packages available on preferential terms.
Life insurance.
Access to 40+ options on the NAIS benefit platform, including a sports card.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to the Education First languages platform, TED Talks and Udemy Business materials and trainings.
Home office package including a laptop, monitor and chair.

Opieka zdrowotna

Ubezpieczenie

Karta sportowa

Szkolenia wewnętrzne

Kursy językowe

Capgemini

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