Full-Stack AI Engineer

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 documentation workflows, automate content generation, and improve operational efficiency through modern agent-based AI systems and scalable enterprise infrastructure.

PROJECT
The project focuses on developing advanced AI-driven documentation solutions powered by large language models, orchestration frameworks, and cloud-native backend services. The platform integrates AI capabilities with internal and third-party systems while maintaining high standards of scalability, observability, and engineering quality.
This role combines AI engineering, Back-end development, and partial Full-Stack collaboration, giving you the opportunity to contribute across APIs, integrations, frontend features, and AI-enabled workflows in a modern Agile environment.

Job 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 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

Qualifications
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
Familiarity with AI tool integration protocols and agentic workflows
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
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