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

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

Notice Period :-Immediate Joiner to 15 days.

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 AI evaluation, guardrails, tracing, and monitoring (quality/safety/performance/cost)
Design reusable, configuration-driven components for cross-team use
Own production-quality code, tests, and documentation
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

Databricks, Unity Catalog, Data Lake, 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

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