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

- Valuable 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

- Good 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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Software Engineer - AI Fullstack Polyglot (Chennai)
🏢 Sysvine Technologies
📍 Chennai