Senior Full Stack Engineer with AI

Ташкент
31.07.2026
Вакансия истекает: 10.08.2026
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Описание вакансии

Sigma Software is an international technology partner with over 24 years of experience delivering impactful digital solutions for global businesses.

With a team of 2,000+ professionals, the company collaborates with leading brands such as AstraZeneca, Viaplay, Volvo, and Scania, helping them scale, innovate, and stay competitive in rapidly evolving markets.

Operating across more than 20 countries, with 40+ offices in Europe and the Americas, Sigma Software combines global reach with strong local expertise. The company has delivered projects for over 500 clients, spanning industries such as fintech, healthcare, automotive, and media.

Role Overview
We are looking for a Senior AI Software Engineer with strong full-stack experience to help design, develop, and operate modern cloud-based software products. The engineer should be comfortable working across frontend, backend, and DevOps domains while integrating AI-native capabilities into business applications.

Technology Stack

  • React, Angular
  • Java/Spring Boot, Python, C#
  • Kafka, Terraform
  • Kubernetes, Helm, ArgoCD
  • Azure OpenAI or similar AI platforms

Engagement

  • Full-time engagement
  • Strong English communication skills required

Customer in the medical domain.
Working on applications for doctors, clinics.

Job Description

Key Responsibilities

  • Develop and maintain modern web applications.
  • Design and implement AI-powered features and agentic workflows.
  • Build and operate cloud-native services with strong focus on reliability, security, and scalability.
  • Collaborate with product, UX, architecture, and engineering teams.
  • Drive engineering excellence and AI adoption within development teams.

Qualifications

Required Skills

  • Senior-level full-stack development experience.
  • Strong frontend expertise in React or Angular.
  • Strong backend expertise in Java/Spring Boot or Python or C#.
  • Experience with cloud-native architectures and DevOps practices.
  • Demonstrated practical use of AI tools in software engineering.
  • Degree in Computer Science or equivalent technical background.

Preferred Qualifications

  • Experience building AI agents, workflows, or automation solutions.
  • Familiarity with modern LLM ecosystems and AI tooling.
  • Understanding of product development processes.