Senior AI, Full-Stack Software Engineer – Healthcare

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🕒 July 22

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Sigma Software Group

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2002

💼 Consulting

🏥 Healthcare

🚘 Automotive

Consulting • Healthcare • Automotive

Sigma Software Group is a multinational company, established in 2002, that specializes in providing high-quality software development, graphic design, testing, and support services. The company focuses on delivering solutions across various industries such as automotive, telecommunications, aviation, advertising, gaming, banking, real estate, and healthcare. Sigma Software values professional growth, offers remote work opportunities worldwide, and caters to world-renowned clients like AstraZeneca, Scania, and SAS. The company emphasizes a culture of continuous education, mentorship, and flexible work environments, making it a preferred workplace for IT specialists aiming to work on complex solutions utilizing cutting-edge technologies. Sigma Software is committed to innovative solutions and engineering the future while also contributing to social causes such as charitable work in Ukraine.

📋 Description

• Develop and maintain modern web applications • Design, develop, and integrate AI-powered features into business applications • Build AI agents, intelligent workflows, and automation solutions • Work with modern LLM platforms and AI development tools • Build and operate cloud-native services with a strong focus on reliability, security, and scalability • Collaborate with Product, UX, Architecture, and Engineering teams • Drive engineering excellence and AI adoption within development teams

🎯 Requirements

• Senior-level Full-Stack development experience • Strong Front-end expertise with React or Angular • Strong Back-end expertise in Java/Spring Boot, Python, or C# • At least 1 year of hands-on commercial experience developing and integrating AI-powered features into software products • Practical experience building AI agents, intelligent workflows, or automation solutions • Practical experience with modern LLM ecosystems and AI platforms, such as Azure OpenAI or similar • Experience with cloud-native architectures and DevOps practices • Demonstrated practical use of AI tools in software engineering • Degree in Computer Science or an equivalent technical background • Strong English communication skills