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).

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

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