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

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
• 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

Additional Information :

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

Remote Work :

Yes

Employment Type :

Full-time