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Senior Tech Lead – AI & Agentic Systems

Supervity

5 - 10 years

Ahmedabad

Posted: 01/03/2026

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Job Description

Company Description

Supervity is a pioneer and leader in the creation of "Autonomous Enterprise Apps," which are powered by advanced AI technologies. These self-driving applications manage complex business operations autonomously, leveraging AI Employees and overseen through AI Command Centers. Supervity places humans in ultimate command, integrating cutting-edge AI to drive innovation and efficiency in business operations.


Role Overview

We are seeking an experiencedSenior Tech Leadwith deep expertise in AI and Agentic AI architecture, enterprise-scale system design, and team leadership. This role will drive technical strategy and end-to-end solution ownership across AI initiatives.

Required Skills & Experience

  • 7+ years of hands-on experience in software engineering
  • Strong experience in AI and Agentic AI system development
  • Experience operationalizing LLM-based systems and vector databases
  • Expertise in Python and FastAPI for backend architecture
  • Strong frontend proficiency in ReactJS and Next.js
  • Deep experience with Docker and Kubernetes orchestration
  • Proficiency in Azure cloud services (storage, container hosting, pipelines)
  • Strong RDBMS and SQL expertise
  • Hands-on experience with DevOps, CI/CD, automation, and cloud deployments
  • Experience in distributed systems and scalable microservice architectures
  • Strong analytical reasoning and system design capability
  • Excellent communication and stakeholder presentation skills
  • Experience mentoring and leading technical teams

Key Responsibilities

  • Architect and lead development of advanced AI and Agentic AI platforms
  • Own end-to-end technical execution: architecture development deployment monitoring
  • Design scalable backend systems using Python and FastAPI
  • Lead frontend architecture using ReactJS and Next.js
  • Drive microservice architecture and Kubernetes-based deployments
  • Optimize AI workloads on Azure cloud infrastructure
  • Ensure secure, high-performance database integrations
  • Establish DevOps best practices and deployment standards
  • Present technical strategy to internal and external stakeholders
  • Mentor and lead engineering teams
  • Collaborate with product leadership on roadmap and innovation strategy


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