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Tietoevry

Tietoevry

www.tietoevry.com

2 Jobs

15,230 Employees

About the Company

In a rapidly changing world, technology is everything. It's in the fabric of society. In every part of every business. At the very heart of human evolution. It’s a great power that comes with great responsibility.

At Tietoevry, we believe it’s time to shift perspective. It’s not about what technology can do anymore — but what it should. So that the futures of businesses, societies, and humanity can live and thrive. Side by side.

This is why we're making it our business to create purposeful technology that reinvents the world for good.

https://www.tietoevry.com/en/

#purposefultechnology #Tietoevry

Listed Jobs

Company background Company brand
Company Name
Tietoevry
Job Title
Java Full Stack Developer - Tietoevry Create (m/f/d)
Job Description
**Job title** Java Full Stack Developer **Role Summary** Design, develop, and maintain full‑stack Java applications, integrating front‑end components (Angular, CSS, JavaScript, HTML) with back‑end services (Spring Boot, Spring Batch, REST microservices) and relational databases (DB2, PostgreSQL). Participate in an Agile team, perform code reviews, and apply DevOps practices. **Expactations** - Independently deliver end‑to‑end features within sprint cycles. - Write clean, maintainable, and testable code. - Collaborate with cross‑functional teams to define requirements and solutions. **Key Responsibilities** - Build and extend Spring Boot services and microservices architecture. - Develop Angular front‑end components and integrate them with back‑end APIs. - Create and schedule batch jobs using Spring Batch. - Configure and consume distributed messaging (RabbitMQ preferred). - Manage relational database design, queries, and performance tuning. - Use GitHub for version control, perform code reviews, and run SonarQube analyses. - Apply security standards (OAuth2, OpenID Connect). - Contribute to continuous integration/continuous deployment pipelines. - Participate in Agile ceremonies (stand‑ups, sprint planning, retrospectives). **Required Skills** - Java, Spring Boot, Spring Batch - Angular, CSS, JavaScript, HTML - RESTful microservices design - Relational databases: DB2, PostgreSQL - Messaging systems: RabbitMQ (plus) - Version control: Git, GitHub - Static code analysis: SonarQube - Agile development practices - Cloud familiarity: Pivotal Cloud Foundry (preferred) - Authentication/Authorization: OAuth2, OpenID Connect **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field - 6–10 years’ professional experience in Java full‑stack development; 5 years’ experience with the specified front‑end and back‑end technologies. ---
Dallas, United states
Remote
Mid level
26-11-2025
Company background Company brand
Company Name
Tietoevry
Job Title
Artificial Intelligence Engineer
Job Description
Job Title: Artificial Intelligence Engineer Role Summary: Design, build, and deploy production‑ready AI/LLM systems using Claude.Code, focusing on prompt engineering, agent workflows, and scalable architectures. Expactations: Deliver high‑performance, reliable AI solutions that translate business requirements into actionable products; maintain cost, latency, and governance standards; collaborate cross‑functionally to define AI use cases. Key Responsibilities: - Design, develop, and deploy Claude.Code‑based LLM applications. - Engineer prompts, agent workflows, and tool‑augmented LLM services. - Integrate AI models with backend APIs, databases, and enterprise systems. - Optimize model performance, latency, cost, and reliability for production. - Implement monitoring, evaluation, and governance frameworks for AI systems. - Collaborate with product, data, and engineering teams to identify AI opportunities. - Stay current with advances in LLMs, agentic AI, and applied machine learning. Required Skills: - 8+ years of software engineering with a strong AI/ML focus. - Hands‑on Claude.Code experience (prompting, agents, tools, workflows). - Proficient in Python and AI/ML libraries/frameworks. - Deep understanding of LLM concepts, prompt engineering, RAG, and agent architectures. - Experience integrating LLMs with APIs, vector databases, and cloud platforms. - Familiarity with MLOps, model deployment, and monitoring practices. - Strong problem‑solving and communication abilities. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. - Industry certifications preferred: AWS Certified Machine Learning, Azure AI Engineer Associate, TensorFlow Developer, or equivalent.
Dallas, United states
Hybrid
Senior
20-02-2026