Hot Duties:

- Build AI-native SaaS applications using modern full-stack technologies

- Leverage AI tools (Claude, ChatGPT, Cursor, GitHub Copilot, Gemini, etc.) to accelerate design, coding, testing, debugging, and documentation

- Develop AI-powered solutions using LLMs, RAG, AI Agents, and MCP

- Design scalable APIs and cloud-native architectures integrating AI capabilities

- Apply AI-assisted and Spec-Driven Development (SDD) to improve engineering productivity and software quality

- Evaluate emerging AI technologies and drive innovation

Duties:

- Design, develop, and maintain scalable AI-enabled SaaS applications and cloud-native services

- Build full-stack applications, REST APIs, microservices, and AI-powered workflows

- Integrate LLMs, AI Agents, RAG, and MCP into production-grade solutions

- Use AI-assisted engineering to accelerate development, testing, debugging, code reviews, and documentation

- Design secure, scalable architectures with relational, NoSQL, and vector databases

- Optimize application performance, reliability, scalability, and cloud costs

- Implement CI/CD pipelines, containerization, observability, and automated quality practices

- Review code, enforce engineering standards,



and mentor engineers on AI-first development practices

- Troubleshoot complex production issues, including AI model integrations and distributed systems

- Continuously evaluate emerging AI technologies and recommend improvements that enhance product capabilities and engineering productivity

Requirements:

- 4 to 6 years of full-stack software development experience

- Good Python expertise with FastAPI, Flask, or Django

- Proficiency in one or more languages such as TypeScript/JavaScript, Go, or Node.js

- Experience with React, Angular, or similar frontend frameworks

- Good knowledge of REST APIs, microservices, OOP, SOLID principles, and design patterns

- Hands-on experience with AWS (preferred), Docker, Kubernetes, and CI/CD pipelines

- Valuable knowledge of PostgreSQL/MySQL/SQL Server and NoSQL databases

- Experience with AI technologies such as OpenAI, Claude, Gemini, Bedrock, LangChain, LangGraph, CrewAI, AutoGen, RAG, MCP, and vector databases

- Knowledge of Kafka/RabbitMQ, OAuth2/JWT, monitoring tools, and secure software development

- Good problem-solving, communication, ownership, and mentoring skills

📌 AI Full-Stack Polyglot Engineers (Chennai)
🏢 Sysvine Technologies
📍 Chennai