Agentic AI Engineer

Cybage; Pune District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Cybage is seeking a self-directed senior engineer to architect and build secure enterprise applications with AI-enabled workflows. Strong full-stack skills and hands-on experience integrating AI agents via MCP are required.

The role focuses on React/TypeScript, Python, API services, and secure coding practices, with leadership responsibilities across teams and mentorship of engineers.

Qualifications

• 5+ years software development experience (or equivalent demonstrated skill).
• Strong React, API development, application architecture, automated testing, CI/CD.
• Experience building AI-assisted apps, agentic workflows, or tool-calling solutions.
• Experience with MCP, structured outputs, context management, or comparable frameworks.

Responsibilities

• Architect and develop secure enterprise applications (React, TypeScript, Python, API services).
• Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools.
• Implement structured outputs, workflow state management, human-approval steps, and error recovery.
• Build authentication, authorization, RBAC, and audit logging.
• Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost).
• Partner with domain experts and PMs to translate requirements into scalable solutions.
• Design reusable, configuration-driven components for cross-team use.
• Own production-quality code, tests, and documentation.
• Mentor other engineers; guide technical direction across teams.

Skills

React

API development

Application architecture

Automated testing

CI/CD

AI-assisted apps

Agentic workflows

MCP

Context management

RBAC

Secure coding practices

Education

Bachelor's degree or equivalent

Tools

Databricks

Unity Catalog

Data Lake

GitLab CI/CD

Policy-as-code

Infrastructure-as-code

Job description

Self-directed senior engineer to architect and build secure enterprise applications and AI-enabled/agentic workflows, with strong full-stack skills and hands-on experience integrating AI agents via Model Context Protocol (MCP).

Technical and Professional Requirements

Mandatory

• 5+ years software development experience (or equivalent demonstrated skill)
• Strong React, API development, application architecture, automated testing, CI/CD
• Experience building AI-assisted apps, agentic workflows, or tool-calling solutions
• Experience with MCP, structured outputs, context management, or comparable frameworks
• Experience with auth/authz, RBAC, and secure coding practices

Preferred

• Databricks, Unity Catalog, Data Lake, or comparable
• GitLab CI/CD or comparable
• Policy-as-code, infrastructure-as-code, configuration-driven platforms
• Experience building data marketplaces, governance platforms, or internal developer platforms
• Familiarity with privacy/security/regulatory/AI governance controls
• Experience in regulated or risk-sensitive environments

Job Responsibilities

• Architect and develop secure enterprise applications (React, TypeScript, Python, API services)
• Build agentic workflows and MCP-based integrations connecting AI applications to enterprise data/tools
• Implement structured outputs, workflow state management, human-approval steps, and error recovery
• Build authentication, authorization, RBAC, and audit logging
• Implement AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
• Partner with domain experts and PMs to translate requirements into scalable solutions
• Design reusable, configuration-driven components for cross-team use
• Own production-quality code, tests, and documentation
• Mentor other engineers; guide technical direction across teams

Educational Requirements

• Related bachelor's degree or equivalent experience