Description :

Job Title : Backend developer - Lead

Location : Bengaluru, India

Looking for a immediate joiner

About Big AIR Lab :

Big AIR Lab, operates at the intersection of applied AI and real-world innovation, where foundational research meets practical deployment. We build intelligent systems that think collaboratively, adapt contextually, and deliver actionable insights across multiple domains.

Role Overview :

Were seeking a Lead Backend Developer with 4+ years of experience in Python-based backend development to join our growing team in Bengaluru.

The ideal candidate will have a solid grasp of FastAPI, MongoDB, and scalable service architecture, with additional exposure to SQL databases, cloud integrations, and performance optimization.

A background or strong interest in AI/ML applications will be a plus many of our products integrate directly with LLMs and AI pipelines.

Key Responsibilities :

- Architect, develop, and maintain scalable backend systems using Python and FastAPI.

- Design and manage RESTful APIs for internal tools and external integrations.

- Work with MongoDB, PostgreSQL, and Redis for structured and unstructured data handling.

- Collaborate closely with frontend, DevOps, and AI/ML teams to build robust, secure solutions.

- Apply best practices for performance optimization, error handling, logging, and monitoring.

- Ensure backend systems are highly available, secure, and production-ready.

- Maintain documentation (Swagger/OpenAPI) and manage API versioning.

- Optimize database queries, indexes, and schemas for top performance.

- Write clean, modular, and testable code following OOP principles.

- Diagnose and resolve production issues efficiently.

Required Skills & Experience :

- 4+ years of professional backend development experience.

- Strong knowledge of Python and object-oriented programming.

- Hands-on expertise with FastAPI (preferred) or Django.

- Experience working with MongoDB, including schema design and aggregation pipelines.

- Familiarity with SQL databases like PostgreSQL/MySQL.

- Exposure to Redis and optionally Supabase.

- Proficiency in building RESTful APIs, API security, and HTTP fundamentals.

- Hands-on with Git, Docker, and Linux-based environments.

- Skilled at debugging, troubleshooting, and optimizing system performance.

Nice to Have :

- Experience with async/await and asynchronous programming models.

- Familiarity with WebSocket or real-time backend patterns.

- Exposure to AI/ML pipelines, vector DBs (FAISS/Qdrant), or model APIs.

- Integration experience with Firebase, GCP, or Azure services.

- Working knowledge of JWT, OAuth2, and backend security.

- Basic understanding of GraphQL, gRPC, and CI/CD pipelines.

- Experience with Docker Compose, Nginx, or GitHub Actions.

Preferred Qualifications :

- Bachelors degree in Computer Science, Engineering, or related fields.

- Proven track record delivering production-grade backend systems.

- Prior experience in agile teams and using tools like Jira.

- Strong communication and collaboration skills.

- Interest or experience in AI-powered systems or SaaS platforms.

Perks & Benefits :

- Competitive salary with performance-linked incentives.

- Opportunity to work on AI-driven, intelligent product ecosystems.

- Access to modern tools, cloud resources, and upskilling support.

- Flexible work hours and hybrid work model.

- Engaging team culture with wellness and learning initiatives.