AI Engineer
- 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 closely 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
- 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
WILL BE A PLUS
- Familiarity with AI tool integration protocols and agentic workflows
- Experience with Helm
- Experience with observability tooling such as Grafana, OpenTelemetry, or CloudWatch
- Experience integrating enterprise authentication systems such as OAuth2/OIDC or Keycloak
- Experience developing editor or IDE extensions
- Experience using AI coding assistants in daily development workflows
- Experience with enterprise-scale AI platforms
- Experience with cloud-native distributed systems
- Exposure to AI-assisted developer tooling
- Experience contributing to architecture decisions
- Knowledge of documentation tooling ecosystems
PERSONAL PROFILE
- 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
Are you passionate about building AI-powered solutions that solve real business challenges? We are looking for a Middle AI Engineer to join our fully remote team and contribute to the development of advanced intelligent documentation platforms for the telecommunications domain.
At Sigma Software , we work with global Customers on innovative projects that combine modern engineering practices with cutting-edge AI technologies. In this role, you will participate in the full development lifecycle, from research and architecture discussions to implementation and deployment of scalable AI-enabled solutions.
Why join us? You will have the opportunity to work with modern LLM orchestration frameworks, cloud-native infrastructure, and enterprise-scale AI integrations while growing professionally in a collaborative and flexible environment.
CUSTOMER
Our Customer is a European telecommunications company focused on digital transformation and intelligent content management solutions. Together, we are developing AI-powered tools that optimize documenta