Software Engineer - Forward Deployed AI

Sysvine; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Sysvine in Chennai is seeking a skilled full-stack engineer with 4–6 years of experience to build AI-native SaaS applications. You will design scalable APIs, integrate AI capabilities, and work across cloud-native services using Python, React, and modern frameworks.

The role emphasizes performance, reliability, and mentoring peers in AI-first development practices. Experience with AWS, Docker, Kubernetes, and CI/CD is preferred, and familiarity with SQL/NoSQL databases will help shape robust

Qualifications

• 4 to 6 years of full-stack development experience.
• Strong Python expertise with FastAPI, Flask, or Django.
• Experience with React, Angular, or similar frontend frameworks.
• Knowledge of REST APIs, microservices, OOP, SOLID, and design patterns.
• Hands-on experience with AWS (preferred), Docker, Kubernetes, and CI/CD.

Responsibilities

• 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.
• Improve engineering productivity and software quality through AI-assisted development.
• Review code, enforce standards, and mentor engineers on AI-first practices.
• Troubleshoot complex production issues, including AI model integrations and distributed systems.

Skills

Full-stack

Python

Frontend frameworks

REST APIs

CI/CD

AWS

Docker

Kubernetes

SQL/NoSQL

AI technologies

Tools

PostgreSQL

MySQL

SQL Server

NoSQL databases

Job description

ID850 PostedAug 3, 2026 Openings2 Experience4-6 Years Annual Salary12 to 18L

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
• 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