Job Summary :

We are looking for a highly skilled and passionate Full Stack AI Engineer who can design, develop, and deploy scalable, secure, and high-performance applications. The ideal candidate will have strong expertise in React.js, Python FastAPI, Microservices Architecture, Cloud Infrastructure, Database Optimization, and Generative AI solutions.

You will work on cutting-edge AI-driven products involving Conversational AI Agents, Agentic Workflows, LLM integrations, scalable backend systems, and cloud-native deployments.

Key Responsibilities :

Full Stack Development :

- Design and develop modern, responsive, and scalable web applications using React.js, React Native, HTML5, CSS3, Tailwind CSS.

- Build interactive and high-performance UI components with advanced frontend frameworks.

- Implement state management solutions using Redux, Redux-Sagas, Saga Generator Functions.

- Experience with Three.js / 3D visualization frameworks will be an added advantage.

- Develop reusable components with focus on performance optimization and user experience.

Backend Development & System Engineering :

- Design and develop robust backend services using Python and FastAPI.

- Build scalable distributed applications using :

1. RabbitMQ

2. Celery

3. Redis

4. Python Multi-processing

- Develop highly efficient REST APIs following industry best practices.

- Implement secure, scalable Microservice Architecture.

- Apply strong software engineering concepts including :

1. SOLID Principles

2. Design Patterns

3. Clean Code Practices

4. Performance Optimization

Database Management & Optimization :

- Work with relational and non-relational databases :

1. PostgreSQL

2. MongoDB

3. SQL / NoSQL Databases

4. Vector Databases

- Perform database-level optimization including :

1. Query Optimization

2. Indexing Strategies

3. Performance Tuning

4. Data Modeling

- Manage high-volume data processing systems.

Cloud, DevOps & Infrastructure :

- Deploy and manage applications on cloud platforms (GCP preferred).

- Hands-on experience with :

1. Docker & Docker Hub

2. Kubernetes

3. GCS Buckets

4. Service Accounts

5. IAM & Active Directory

6. CI/CD Pipelines

7. Git & GitHub

8. Nginx Configuration

- Manage SSL certificates and secure application deployment.

- Experience with Caddy Server for automatic SSL certificate generation will be preferred.

Generative AI & LLM Engineering :

- Build next-generation AI applications using :

1. LangChain

2. LangGraph

3. Agentic AI Frameworks

4. Conversational AI Agents

5. Human-in-the-Loop (HITL) Systems

- Work with open-source AI platforms :

1. Ollama

2. Hugging Face Models

- Experience in :

1. LLM Fine-tuning

2. Prompt Engineering

3. RAG Architecture

4. Vector Search Optimization

5. Re-ranker Optimization

Security, Networking & Architecture :

- Implement secure Authentication & Authorization systems.

- Strong understanding of :

1. RBAC (Role-Based Access Control)

2. Secure API Development

3. SSL/TLS Security

- Knowledge of networking concepts :

1. TCP/IP

2. UDP Protocols

3. Application Communication Layers

Required Skills :

- React.js / React Native / Tailwind CSS

- Python / FastAPI

- RabbitMQ / Celery / Redis

- PostgreSQL / MongoDB / Vector Database

- Docker / Kubernetes / Cloud Deployment

- GCP Cloud Infrastructure (Preferred)

- Microservices Architecture

- REST API Development

- CI/CD & DevOps Practices

- LangChain / LangGraph / Agentic AI

- LLM Fine-tuning & AI Agent Development

Preferred Candidate Profile :

- Strong problem-solving ability and ownership mindset.

- Experience building enterprise-grade scalable products.

- Ability to work independently in a fast-paced technology environment.

- Passionate about AI, automation, and modern software architecture.

- Strong understanding of complete software development lifecycle.

Qualification :

- B.E./B.Tech/M.Tech in Computer Science, Information Technology, Artificial Intelligence, Data Science, or related engineering discipline.