AI Full Stack Engineer
Position Overview
We are seeking a highly skilled AI Full Stack Engineer to design, develop, and deploy AI-powered web applications and intelligent automation solutions. The ideal candidate will have strong experience in full-stack development, Large Language Models (LLMs), AI agents, cloud infrastructure, and modern software engineering practices.
You will work closely with product managers, designers, AI engineers, and clients to build scalable, production-grade AI solutions.
Key Responsibilities
AI Development
- Design and implement AI-powered applications using LLMs such as GPT, Claude, Gemini, and open-source models.
- Build AI agents, copilots, chatbots, and workflow automation systems.
- Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases.
- Fine-tune, evaluate, and optimize AI models for business use cases.
- Implement prompt engineering and agent orchestration frameworks.
Backend Development
- Design and develop scalable REST APIs and GraphQL services.
- Build microservices and distributed systems.
- Develop integrations with third-party platforms and APIs.
- Optimize application performance, reliability, and security.
- Implement authentication, authorization, and role-based access control.
Frontend Development
- Develop responsive web applications using modern frameworks.
- Create intuitive user interfaces for AI-powered products.
- Build real-time dashboards, chat interfaces, and workflow builders.
- Ensure cross-browser and mobile compatibility.
Cloud & DevOps
- Deploy and manage applications on cloud platforms.
- Implement CI/CD pipelines and infrastructure automation.
- Monitor application performance and troubleshoot production issues.
- Manage containerized deployments using Docker and Kubernetes.
Data & AI Infrastructure
- Work with vector databases and knowledge bases.
- Design document ingestion and data processing pipelines.
- Implement semantic search and recommendation systems.
- Ensure AI systems are scalable, secure, and cost-efficient.
Required Skills
Programming Languages
- Python
- JavaScript / TypeScript
- SQL
Frontend
- React.js
- Next.js
- HTML5, CSS3
- Tailwind CSS
- Redux or Zustand
Backend
- FastAPI
- Node.js / NestJS
- Django (preferred)
- REST APIs
- GraphQL
AI & Machine Learning
- OpenAI APIs
- Anthropic Claude APIs
- Google Gemini APIs
- LangChain
- LangGraph
- CrewAI
- AutoGen
- LlamaIndex
- Prompt Engineering
- RAG Architectures
Databases
- PostgreSQL
- MongoDB
- Redis
- Pinecone
- Weaviate
- Qdrant
- ChromaDB
Cloud & DevOps
- AWS / Azure / GCP
- Docker
- Kubernetes
- GitHub Actions
- Terraform
- Nginx
Preferred Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or related field.
- 3+ years of full-stack development experience.
- 1+ years of production AI application development.
- Experience building SaaS products.
- Experience with multi-tenant architectures.
- Knowledge of MLOps and AI observability tools.
Nice to Have
- Fine-tuning open-source LLMs.
- Knowledge graph implementation.
- AI voice agents and speech-to-text systems.
- Computer Vision applications.
- Experience with MCP (Model Context Protocol).
- Experience building autonomous AI agent systems.
Key Performance Indicators (KPIs)
- Feature delivery velocity.
- AI response quality and accuracy.
- System uptime and reliability.
- API performance and scalability.
- Production bug rate.
- Customer satisfaction and adoption metrics.
Typical Tech Stack
- Frontend: React, Next.js, TypeScript
- Backend: Python (FastAPI), Node.js
- AI: OpenAI, Claude, Gemini, LangGraph, LangChain
- Database: PostgreSQL, Redis, Pinecone
- Infrastructure: AWS, Docker, Kubernetes
- Monitoring: LangSmith, Prometheus, Grafana
Pay: ₹30,000.00 - ₹50,000.00 per month
Benefits:
Application Question(s):
- What was your previous CTC?
- What is your expected CTC?
Experience:
- Next.js: 2 years (Required)
- Python: 2 years (Required)
- AI: 2 years (Required)
Work Location: Hybrid remote in Mohali, Punjab