Agentic AI Engineer

Role Summary

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).

Location :-Pune (Kalyaninagar)

Work Mode :-Hybrid (3 days/ week from office)

Notice Period :-Immediate Joiner to 15 days.

Key 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

Must-Have Qualifications

• Bachelor's in CS/Software Engineering/related STEM (or Bachelor's + Master's/higher in STEM)
• 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

Nice-to-Have Qualifications

• 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