Agentic AI Engineer

Cybage; Pune District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Cybage in Pune seeks a self-directed senior engineer to architect and build secure enterprise applications and AI-enabled workflows, with strong full‑stack skills and hands‑on experience integrating AI agents via MCP.

You will design scalable solutions, mentor engineers, and own production‑quality code, tests, and documentation while ensuring security and RBAC. The role emphasizes collaboration with domain experts and PMs to deliver robust platforms.

Qualifications

• 5+ years software development experience
• 5+ years with Python, JavaScript/TypeScript
• 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
• Experience with auth/authz, RBAC, and secure coding practices
• Full lifecycle experience: requirements architecture deployment production support

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

Python

TypeScript/JavaScript

React

API development

CI/CD

AI agentic workflows

MCP

Security best practices

Education

Bachelor's degree

Tools

GitLab CI/CD

Job description

About The Position

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)
• 5+ years with Python, JavaScript/TypeScript, or comparable languages
• 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
• Full lifecycle experience: requirements architecture deployment production support

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