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Job Description & How to Apply Below
Supervity is the pioneer and leader in the category of “Autonomous Enterprise Apps.” These are innovative, self-driving applications powered by AI Employees and governed by AI Command Centers while ensuring humans remain in command. Supervity redefines how businesses operate, offering seamless automation and enhancing end-to-end business processes. The company is at the forefront of combining artificial intelligence and human ingenuity to drive efficient enterprise solutions.
Role Description
This is a full-time on-site role for a Tech Lead - AI & Agentic Systems, located in Ahmedabad. The Tech Lead will oversee the design, development, and deployment of AI-driven autonomous systems. Responsibilities include leading the engineering team, creating and implementing agent-based systems, ensuring integration with enterprise apps, and mentoring team members. The candidate will work closely with the product and leadership teams to ensure alignment with organizational goals and innovative implementation of the Autonomous Enterprise vision.
Required Skills & Experience
4+ years of hands-on experience in software engineering
Strong experience in Python and FastAPI for backend development
Working knowledge of AI/LLM-based systems or Agentic AI frameworks
Frontend development experience using React
JS and Next.js
Experience with Docker and Kubernetes for containerized deployments
Familiarity with Azure services (storage, containers, app services)
Strong understanding of RDBMS and SQL
Exposure to CI/CD pipelines and Dev Ops practices
Basic understanding of microservices and distributed system concepts
Strong problem-solving and analytical skills
Good communication and documentation skills
Ability to guide junior developers and contribute to technical discussions
Key Responsibilities
Develop and deploy AI and Agentic AI applications
Build scalable backend services using Python and FastAPI
Develop interactive UI components using ReactJS
Implement microservices and containerize using Docker
Support deployment on Kubernetes and Azure cloud
Integrate backend systems with databases securely and efficiently
Contribute to CI/CD implementation and Dev Ops automation
Participate in architecture discussions and design reviews
Mentor junior engineers and support code quality improvements
Collaborate with product and cross-functional teams
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