Technical Lead – Python, Agentic AI & LLM

LetzBizz; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

LetzBizz is seeking an experienced Technical Lead to head the engineering of an enterprise SaaS product built with agentic AI and large language models. You will own the architecture, set engineering standards, guide the backend team and stay hands-on with critical platform areas.

You will design scalable backend services, architect data models, and lead AI integration layers, ensuring multi-tenant capabilities, secure RBAC and robust CI/CD practices.

Qualifications

• 8–12 years of relevant software engineering experience.
• Experience leading backend engineering teams of five or more engineers through system design, development and delivery.
• Proven experience architecting and delivering multi-service platforms with clearly defined domain boundaries.
• Deep expertise in Python, asynchronous programming patterns, FastAPI or equivalent frameworks and production-scale backend development.
• Strong experience with PostgreSQL and MongoDB, including database design, optimisation and large-scale migrations.
• Experience building production systems using LLMs, agentic AI or AI orchestration frameworks.
• Practical experience with RAG, vector databases or semantic search in production environments.
• Hands-on experience with Docker, Kubernetes and AWS or Azure cloud infrastructure.
• Experience designing multi-tenant SaaS platforms with tenant isolation, RBAC and tenant-specific configuration.
• Strong understanding of event-driven architecture, message buses, asynchronous workers and webhooks.
• Experience designing versioned and documented APIs and data models used across multiple teams.
• Ability to lead by example and maintain strong coding and engineering standards.

Responsibilities

• Own the end-to-end technical architecture and convert it into a practical delivery roadmap.
• Lead the design of scalable backend services, APIs and data models.
• Architect AI integration layers covering LLM provider abstraction, prompt versioning, caching, fallback mechanisms and cost control.
• Design agentic AI systems involving orchestration, tool use, structured outputs and reliability guardrails.
• Define integration frameworks for enterprise systems, databases and third‑party APIs.
• Drive multi-tenant architecture, access control, auditing and compliance readiness.
• Establish engineering standards for testing, CI/CD, code reviews and technical documentation.
• Mentor engineers, conduct design reviews and strengthen the team’s technical capabilities.
• Remain hands‑on and develop code for critical components of the platform.

Skills

Python

Asynchronous programming

Backend architecture

Team leadership

Hands-on coding

FastAPI

AWS/Azure

RBAC

Event-driven design

Code reviews

CI/CD

Testing

Tools

FastAPI

PostgreSQL

MongoDB

Redis

Docker

Kubernetes

Pydantic

LLM APIs

OpenTelemetry

Prometheus

Grafana

Git

GitHub Actions

Job description

Technical Lead – Python, Agentic AI & LLM

Job Title: Technical Lead

Experience: 8–12 Years

Location: Guindy / OMR, Chennai

Work Mode: Work from Office – 5 Days a Week

Joining Preference: Immediate Joiners Preferred

About The Role

We are hiring an experienced Technical Lead to lead the engineering of an enterprise SaaS product built using agentic AI and large language models.

The selected professional will own the technical architecture, establish engineering standards, guide the backend engineering team and remain hands‑on with the most critical areas of the platform.

Key Responsibilities

• Own the end-to-end technical architecture and convert it into a practical delivery roadmap.
• Lead the design of scalable backend services, APIs and data models.
• Architect AI integration layers covering LLM provider abstraction, prompt versioning, caching, fallback mechanisms and cost control.
• Design agentic AI systems involving orchestration, tool use, structured outputs and reliability guardrails.
• Define integration frameworks for enterprise systems, databases and third‑party APIs.
• Drive multi-tenant architecture, access control, auditing and compliance readiness.
• Establish engineering standards for testing, CI/CD, code reviews and technical documentation.
• Mentor engineers, conduct design reviews and strengthen the team’s technical capabilities.
• Remain hands‑on and develop code for critical components of the platform.

Technical Stack

Python

• FastAPI
• PostgreSQL
• MongoDB
• Redis
• Docker
• Kubernetes
• Pydantic
• MinIO/S3
• LLM APIs
• OpenTelemetry
• Prometheus
• Grafana
• Git
• GitHub Actions

Required Experience And Skills

• 8–12 years of relevant software engineering experience.
• Experience leading backend engineering teams of five or more engineers through system design, development and delivery.
• Proven experience architecting and delivering multi-service platforms with clearly defined domain boundaries.
• Deep expertise in Python, asynchronous programming patterns, FastAPI or equivalent frameworks and production-scale backend development.
• Strong experience with PostgreSQL and MongoDB, including database design, optimisation and large-scale migrations.
• Experience building production systems using LLMs, agentic AI or AI orchestration frameworks.
• Practical experience with RAG, vector databases or semantic search in production environments.
• Hands‑on experience with Docker, Kubernetes and AWS or Azure cloud infrastructure.
• Experience designing multi-tenant SaaS platforms with tenant isolation, RBAC and tenant‑specific configuration.
• Strong understanding of event‑driven architecture, message buses, asynchronous workers and webhooks.
• Experience designing versioned and documented APIs and data models used across multiple teams.
• Ability to lead by example and maintain strong coding and engineering standards.

Why Join

This is a founding technical leadership opportunity within an early‑stage product with a long‑term roadmap. You will play a central role in shaping the platform architecture, engineering culture and technical team.

The role offers an opportunity to build a substantial enterprise product and grow towards a Principal Engineer or Staff Engineer position as the organisation scales.