Senior Full Stack Engineer

Senior Full Stack AI Engineer

Experience

5–8 years

Location

Coimbatore

Role Overview

We are looking for a Senior Full Stack AI Engineer who can design and build end-to-end applications combining AI/ML capabilities with modern web technologies. The ideal candidate should be comfortable working across the frontend, backend, databases, APIs, cloud, and AI integrations.

Key Responsibilities

• Design, develop, and maintain scalable full-stack applications.
• Build and integrate AI/LLM-based features into business applications.
• Develop REST APIs and backend services.
• Design efficient database structures and integrations.
• Build responsive and user-friendly frontend applications.
• Integrate AI models, LLM APIs, RAG pipelines, embeddings, vector databases, and AI agents where applicable.
• Work with OpenAI/Gemini/Claude or similar LLM APIs and AI frameworks.
• Develop prompt engineering and evaluation strategies for AI features.
• Implement authentication, authorization, RBAC, and secure API integrations.
• Deploy and maintain applications on cloud platforms such as AWS/Azure/GCP.
• Optimize application performance, scalability, and reliability.
• Write clean, maintainable, and well-tested code.
• Review code and provide technical guidance to junior developers.
• Work closely with product, QA, and business teams to convert requirements into technical solutions.

Required Technical Skills

Frontend

• React.js / Next.js
• JavaScript / TypeScript
• HTML5, CSS3
• Responsive UI development

Backend

• Python – FastAPI / Django / Flask
• Node.js / Express.js
• REST APIs and API integrations

AI / ML

• LLMs and Generative AI
• OpenAI / Gemini / Claude APIs
• Prompt engineering
• RAG architecture
• Embeddings and vector databases
• AI agents / tool calling
• LangChain / LlamaIndex or equivalent
• Basic understanding of ML concepts and model evaluation

Database

• MongoDB
• PostgreSQL / MySQL
• Redis / caching
• Vector databases such as Pinecone, Qdrant, Weaviate, or equivalent

Cloud & DevOps

• AWS / Azure / GCP
• Docker
• CI/CD
• Git/GitHub
• Basic knowledge of monitoring, logging, and cloud security

Good to Have

• Experience building production-grade AI applications
• Experience with AI agents and multi-step workflows
• Experience integrating OCR, speech, vision, or document-processing solutions
• Experience with AWS services such as Lambda, ECS, S3, SQS, API Gateway, and CloudWatch
• Experience with microservices architecture
• Experience with automated testing and performance optimization

What We Look For

• Strong problem-solving and analytical skills
• Ability to independently design and implement solutions
• Strong understanding of software architecture and coding practices
• Ability to work across both AI and conventional software engineering
• Good communication and collaboration skills
• Ability to mentor junior engineers and take ownership of projects
• Strong interest in learning and applying emerging AI technologies

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field.

Role Type: Full-time

Pay: ₹900,000.00 - ₹1,200,000.00 per year

Work Location: In person