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Niche agentic-AI specialization but metro location and recognizable employer increase candidate density.
Highly domain-specific AI agent and enterprise orchestration requirements limit cross-industry transferability.
Multiple explicit must-haves: 6-10 years, LLM/agent experience, languages, distributed systems, and enterprise security.
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Design and build user-facing consoles and dashboards enabling human oversight of AI agents across roles like product management, engineering, security, and executives.
Develop telemetry and value reporting dashboards to track AI pipeline performance, health, adoption, and costs in real-time for executive decision making.
Engineer full-stack solutions including backend APIs, frontend React applications, and enterprise-grade authentication, ensuring high usability, trust, and operational excellence.
6-10 years of professional software engineering experience with ownership of large-scale production systems.
Significant hands-on experience designing and deploying LLM-powered applications, AI agents, or intelligent automation platforms.
Expert-level proficiency in Python or Java or TypeScript and strong background in distributed systems, APIs, cloud-native architectures, and event-driven systems.
Work Experience Required: 6-10 years as stated; Notice Period: Not explicitly mentioned in the JD.
Experience leading technical initiatives and influencing architecture and engineering standards across teams, particularly in AI agent frameworks and enterprise orchestration.
Demonstrated ability to translate complex AI systems for varied technical and non-technical audiences, indicating strong communication with cross-functional stakeholders.
Practitioner of full-stack development with focus on user experience, observability, and scalable platform engineering in cloud-native environments.