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Job Description
Senior 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).
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
Skills
Artificial IntelligencePythonReact.jsPythonAiGuardrailsAi AgentsAgenticAgentic AiAgentic WorkflowsMcpModel Context ProtocolDatabricksAi EngineerIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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