Full Stack AI Engineer
First seen by Alion on Oct 9, 2026.
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.
Skills
Full Stack, Artificial Intelligence, React.js, Python, FastAPI, Microservices Architecture, Cloud Infrastructure, Generative AI, Agentic AI, Conversational AI, LLM