Full Stack Engineer

Job Description:

Full Stack Engineer – AI/LLM Applications

Experience Required: 1–2 Years
Employment Type: Full-time
Work Mode: Full Time (India)
Open Positions: 1
Location: Ahmedabad

About Aithentics

Aithentics is an AI-focused software consulting company specializing in AI-driven applications, cloud technologies, and modern full-stack product development. The company develops scalable SaaS platforms, workflow automation systems, AI-powered applications, and cloud-native solutions for clients across multiple industries.

Job Summary

We are seeking a passionate Full Stack Engineer with 1–2 years of hands-on experience in developing modern web applications. The ideal candidate should possess practical expertise in both frontend and backend technologies and be comfortable working in a startup ecosystem.

The role includes developing scalable applications, APIs, integrations, workflow systems, and AI-powered solutions.

Key Responsibilities

• Design, develop, and maintain frontend and backend application features
• Build scalable web applications and RESTful APIs
• Integrate third-party services and external APIs
• Optimize database structures and improve application performance
• Support cloud deployment and application maintenance activities
• Develop intelligent workflows and AI-enabled product functionalities
• Integrate chatbot, AI assistant, and automation capabilities into applications
• Participate in architecture discussions, code reviews, and technical decision-making
• Debug, optimize, and enhance system performance
• Collaborate with internal teams to deliver high-quality solutions

Required Skills

Frontend

• ReactJS
• NextJS
• TypeScript
• HTML/CSS
• Responsive UI Development

Backend

• NodeJS (Preferred)

Database

• PostgreSQL
• MongoDB
• Database Design Fundamentals

APIs & Integrations

• REST APIs
• Authentication & Authorization Concepts
• Third-party API Integration

Cloud & Tools

• Git
• Docker (Basic Knowledge)
• AWS Fundamentals

Additional Skills

• Strong debugging and analytical skills
• Understanding of application architecture fundamentals
• Ability to write clean, maintainable, and scalable code

Preferred / Good-to-Have Skills

• Experience integrating LLM APIs into applications
• Chatbot or AI assistant development experience
• Understanding of RAG (Retrieval-Augmented Generation)
• Knowledge of AI Agents and workflow-based systems
• Prompt Engineering fundamentals
• Understanding of embeddings and vector search
• Exposure to LangChain, LangGraph, or similar AI frameworks
• Basic knowledge of Machine Learning concepts

Required Candidate Profile

• 1–2 years of relevant practical experience
• Strong problem-solving ability
• Good communication skills
• Strong ownership mindset
• Quick learner with adaptability
• Comfortable working in startup environments
• Ability to work independently on assigned tasks

Prioritize candidates who:

• Have strong communication skills
• Possess real project implementation experience
• Have built complete end-to-end applications
• Can clearly explain project responsibilities and contributions
• Demonstrate ownership and practical problem-solving skills

Avoid candidates where:

• Experience is primarily training or course-based
• Communication skills are weak