AI Engineer

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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

• Participate in research and development activities for AI-driven documentation solutions • Take ownership of features from concept through implementation and deployment • Develop and maintain backend services and REST APIs using Python and modern async frameworks • Integrate AI capabilities and agent-based workflows into existing platforms and services • Collaborate on frontend functionality using React, TypeScript, and Vite where required • Work with LLM orchestration frameworks and AI tooling integrations • Ensure system reliability, scalability, observability, and maintainability • Collaborate with AI engineers, frontend developers, product managers, and designers • Participate actively in Agile ceremonies including sprint planning, refinements, demos, and stand-ups • Contribute to CI/CD pipelines, deployment automation, and Kubernetes-based infrastructure • Troubleshoot and resolve issues across frontend, backend, and infrastructure layers • Continuously evaluate and adopt emerging AI technologies and engineering best practices

🎯 Requirements

• At least 3 years of commercial software development experience • Solid experience with Python and async web frameworks such as FastAPI • Experience with React and TypeScript • Experience with LangChain, LangGraph, or similar LLM orchestration frameworks • Experience with cloud infrastructure • Strong experience building and maintaining REST APIs • Experience with relational databases and ORMs, preferably PostgreSQL • Practical experience writing automated tests using frameworks such as pytest or Playwright • Hands-on experience with Docker and Kubernetes environments • Understanding of CI/CD pipelines and deployment workflows • Ability to debug issues across the full application stack • Strong Git skills and experience working in code-review-driven environments • Experience working in Agile teams • Upper-Intermediate level of English • Familiarity with AI tool integration protocols and agentic workflows is a plus • Experience with Helm is a plus • Experience with observability tooling such as Grafana, OpenTelemetry, or CloudWatch is a plus • Experience integrating enterprise authentication systems such as OAuth2/OIDC or Keycloak is a plus • Experience developing editor or IDE extensions is a plus • Experience using AI coding assistants in daily development workflows is a plus • Experience with enterprise-scale AI platforms is a plus • Experience with cloud-native distributed systems is a plus • Exposure to AI-assisted developer tooling is a plus • Experience contributing to architecture decisions is a plus • Knowledge of documentation tooling ecosystems is a plus • Highly proactive and self-driven • Comfortable working independently in a fully remote environment • Strong ownership mindset • Collaborative team player • Strong analytical and problem-solving skills • Open to learning and experimenting with emerging AI technologies • Effective communicator with cross-functional teams

🏖️ Benefits

• Fully remote work • Collaborative and flexible environment • Professional growth opportunities • Opportunity to work with modern LLM orchestration frameworks, cloud-native infrastructure, and enterprise-scale AI integrations