Middle AI Engineer

Middle AI Engineer

Required skills

• Python / good

• FastAPI / good

• Kubernetes / good

• LLM Frameworks (LangChain/LangGraph) / good

• React/TypeScript / good

• 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.

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

• 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

Responsibilities

• 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