- Experience
- Any
- Salary
- INR 2,500,000 – INR 4,000,000 / year
- Openings
- 1
- Posted
- 1 day ago
- Work mode
- In office
- Education
- Engineering, IT, Computer Science degree
- Eligibility
- Any Graduate with a degree in Engineering, IT, or Computer Science can apply.
- Resume
- Required to apply
Where you'll work
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Job description
Job Overview
This role seeks a seasoned professional skilled in Python backend development and AI automation, responsible for designing modular, scalable applications and orchestrating agentic AI workflows.
Key Responsibilities and Skills
- Develop and maintain Python applications with a strong grasp of data structures and object-oriented programming principles.
- Design and implement modular, high-performance backend systems using FastAPI, ensuring robust API architecture and security.
- Leverage expertise in profiling, debugging, dependency management, and unit testing to enhance application reliability.
- Architect and manage database schemas with hands-on experience in MongoDB and PostgreSQL integrations.
- Utilize Docker, Docker Compose, and YAML configurations for containerized deployment and networking.
- Develop and oversee agentic AI workflows using LangGraph, including multi-step workflow design with nodes, edges, and centralized state management.
- Define and handle complex conversation states, context propagation, error retries, and fallback strategies within AI agents.
- Troubleshoot and debug failed AI agent workflows through detailed execution path analysis.
Desirable Qualifications and Experience
- Experience in building microservices or distributed backend infrastructures.
- Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, along with modern DevOps practices.
- Prior exposure to large language model-based applications and AI automation tools.
- Leadership experience including mentoring engineering teams is an advantage.
Eligibility
Applicants must possess a degree in Engineering, IT, or Computer Science.
Minimum education
Bachelor's Degree
Skills
Tools & software
Docker
Docker
required