Senior AI & Platform Integration Engineer

We are looking for a Senior AI & Platform Integration Engineer to join a cross-product architecture initiative aimed at reducing deployment tool sprawl across applications and migrating them to standard technologies. This project focuses on building and implementing an AI-assisted Migration Framework using autonomous AI agents to automate application lifecycle management, streamline migrations for Lines of Business, and accelerate product upgrade cycles within a secure Sovereign Cloud environment.

Responsibilities

• Develop the core AI agent modules, including the Migration Agent for automatic artifact conversion and deployment metadata tagging.
• Build the pre-deployment validation module to perform automated configuration checks and dependency resolution.
• Design the deployment orchestration module to manage deployment sequencing logic.
• Create the post-deployment verification module to serve as a copilot for human operators during validation and rollback.
• Integrate developed AI agents with the confirmed SCS toolchain, such as Jenkins, Tekton, or ArgoCD.
• Write robust audit logging code that captures agent decisions and reasoning, connecting it to the existing monitoring stack.
• Maintain high code quality through unit, integration, and E2E testing, ensuring a minimum of 80% unit-test coverage.
• Produce technical runbooks, onboarding manuals, and operational guides.
• Support the knowledge transfer process to the operations team.

Requirements

• 5+ years of experience in backend engineering, with expertise in writing clean, modular, and asynchronous code.
• Proficiency in AI-agent workflow development, including LLM APIs, prompt engineering, and AI-based parsing of raw configurations or code.
• Hands-on experience configuring and extending Kubernetes-native CI/CD tools.
• Proven track record delivering rigorously tested code, with strong unit and integration test coverage.
• Proven ability to build secure, robust integrations between disparate tools, microservices, and databases.
• Skills in Python, Go, or Java.
• Familiarity with AI and agentic frameworks such as LangChain, AutoGen, LlamaIndex, or OpenAI/Enterprise LLM APIs.
• Knowledge of CI/CD and GitOps tools, including ArgoCD, Tekton, Jenkins, Kubernetes, Helm, and YAML.
• Understanding of observability tools such as OpenTelemetry, Prometheus, Grafana, or ELK Stack.
• Competency in testing tools such as PyTest, Go Test, or JUnit.
• English proficiency at B2 level or higher.

Nice to have

• Background in developing within highly secure, air-gapped, or Sovereign Cloud environments.
• Experience troubleshooting live pipeline deployments and interacting directly with platform engineering teams.

We offer

• Top tech minds driving innovation in AI, cloud, and digital platform modernization.
• Supportive team and agile, startup-like culture.
• Hybrid-by-design work mode and opportunity to work remotely.
• Chance to work abroad for up to 60 days annually.
• Business-driven relocation opportunities.
• Career development programs.
• Thought leadership, mentoring, soft-skills, and well-being programs.
• Certification opportunities: Anthropic, Gemini, GCP, Azure, AWS.
• English classes.
• Stable pay.
• Participation in the Employee Stock Purchase Plan with a 15% discount.
• Benefits package, including health insurance, multisport, and shopping vouchers.
• Referral bonuses up to $2,000.
• Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee, and more.
• Corporate, social, and well-being events.

Benefits listed above are available to employees only. Contractors are welcome; terms of B2B cooperation agreements are agreed individually. Only selected candidates will be contacted.