AI Platform Integration Engineer
Role details
Job location
Tech stack
Requirements
This role requires a hands-on engineer who can understand existing architecture, continue ongoing development work, collaborate with UI, platform, security, architecture, and application teams, and support similar backend/API/AI integration initiatives as required.
Strong backend development experience using Python .
Hands-on experience with FastAPI or similar Python-based API frameworks .
Strong understanding of REST API design, middleware services, request routing, API integration, and session management .
Practical experience integrating backend services with AI platforms, LLM-based applications, agentic workflows, or AI orchestration platforms .
Understanding of how AI chat workflows operate, including prompt submission, context injection, conversation history, session listing, and response handling .
Experience or working knowledge of MCP servers/connectors , tool-calling patterns, or backend connectors used by AI workflows.
Ability to build or integrate MCP-style backend services for application-specific data or action access.
Experience deploying applications on SAP BTP Cloud Foundry.
Working knowledge of Cloud Foundry concepts including spaces, routes, service bindings, environment variables, logs, and deployments.
Mandatory Skills: AI ML Governance Product Engineering .
Experience: 3-5 Years .
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Dental insurance
- Disability insurance, The expected compensation for this role ranges from $45,000 to $121,000 .
Final compensation will depend on various factors, including your geographical location, minimum wage obligations, skills, and relevant experience. Based on the position, the role is also eligible for Wipro's standard benefits including a full range of medical and dental benefits options, disability insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options.