backend developer for enterprise AI platforms

Grid Dynamics provides technology consulting, platform and product engineering, AI, and advanced analytics services. It helps enterprise companies address technical challenges and achieve business outcomes during business transformation.

• Deploy and maintain the AI orchestration platform across AWS, GCP, Azure, Kubernetes, and on-premises environments;
• Configure Docker/Kubernetes infrastructure, Helm deployments, and Terraform;
• Integrate enterprise authentication and security solutions, including SAML, OIDC, SSO/OAuth, and API gateways;
• Integrate LLM providers such as Amazon Bedrock, Azure OpenAI, Ollama, and internal enterprise models;
• Configure AI agent workflows, MCP integrations, CLI tools, and IDE extensions;
• Integrate semantic code indexing and AI context pipelines into CI/CD workflows;
• Work with Enterprise Architects, Security teams, Principal Engineers, and DevEx teams;
• Translate customer requirements and technical challenges into improvements for Product and R&D teams;
• Help customers establish best practices for AI agent governance and developer productivity.

• 4+ Years of professional software engineering experience;
• Strong development skills in at least one of Kotlin, Java, Go, Python, or TypeScript;
• Hands-on experience with Docker and Kubernetes;
• Experience with Helm and Terraform;
• Experience with AWS, GCP, Azure, OpenShift, or private cloud environments;
• Understanding of networking and enterprise security, including TLS/mTLS, reverse proxies, and API gateways;
• Experience with enterprise authentication, including SAML, OIDC, and SSO;
• Strong understanding of Git, GitHub/GitLab, CI/CD, IDEs, and CLI workflows;
• Practical experience with LLM APIs, AI infrastructure, AI proxies, MCP/agent protocols, or local LLM runtimes;
• Willingness and ability to travel abroad for business trips;
• Nice to have: experience as a Forward Deployed Engineer, Solutions Architect, DevEx Consultant, or similar customer-facing technical role; experience building IDE plugins or developer tools; knowledge of RAG, vector databases, or semantic code search; experience with enterprise AI platforms.

• Competitive salary;
• Flexible schedule;
• Benefits package includes medical insurance and sports;
• Corporate social events;
• Professional development opportunities;
• Well-equipped office.