Software Engineer - Full Stack

Trizen Ai; Chennai District; On-site; INR 600,000 - 1,000,000; Full time

Job summary

Trizen Ai in Chennai is seeking a Software Engineer to own meaningful features across the stack, from backend services to user-facing interfaces. You'll work with cutting-edge technologies including Generative AI integrations, RAG systems, and agentic architectures.

Join a collaborative team to ship real features powering production systems, contribute to architectural decisions, and grow into a stronger engineer with focus on clean code, scalable design, and industry best practices.

Qualifications

• 1–3 years of professional software engineering experience.
• Web framework exposure: Express, NestJS, FastAPI, or similar.
• Database knowledge: PostgreSQL, MySQL, or MongoDB (indexing, query optimization).
• Cloud platform familiarity: AWS or Azure basics (VPC, compute, storage, databases).
• Proof of work: GitHub repos, personal projects, or portfolio demonstrating your skills.

Responsibilities

• Own meaningful features across the entire stack — from backend services to user-facing interfaces
• Work with Generative AI integrations, RAG systems, and agentic architectures
• Ship real features that power production systems
• Participate in architectural decisions as the team grows

Skills

Software engineering

System design thinking

Testing & quality

Documentation & learning

Tools

Docker

Kubernetes

CI/CD tooling

Express/NestJS/FastAPI

Terraform

CloudFormation

Job description

We're building AI-first engineering solutions with a focus on system design, scalable architectures, and real-world product impact. If you're passionate about clean code, cloud infrastructure, and want to grow as an engineer alongside a collaborative team, this is your role.

As a Software Engineer, you'll own meaningful features across our entire stack—from backend services to user-facing interfaces. You'll work with cutting-edge technologies including Generative AI integrations, RAG systems, and agentic architectures while learning industry best practices in system design, microservices patterns, and enterprise-grade development. This is not a "code-and-move-on" role. You'll ship real features that power production systems, participate in architectural decisions, and grow into a stronger engineer.

What You'll Work With

DevOps

Docker, Kubernetes, Jenkins/GitHub Actions, Infrastructure as Code (Terraform, CloudFormation)

AI/GenAI

RAG systems, LLM integrations, embedding models, agentic workflows

Responsibilities

• Own meaningful features across the entire stack — from backend services to user-facing interfaces
• Work with Generative AI integrations, RAG systems, and agentic architectures
• Ship real features that power production systems
• Participate in architectural decisions as the team grows

Requirements

• 1–3 years of professional software engineering experience
• Web framework exposure: Express, NestJS, FastAPI, or similar
• Database knowledge: PostgreSQL, MySQL, or MongoDB (understand indexing, query optimization)
• Cloud platform familiarity: AWS or Azure basics (VPC, compute, storage, databases)
• Proof of work: GitHub repos, personal projects, or portfolio demonstrating your skills

Nice to Have

Docker & containerization experience CI/CD tools: Jenkins, GitHub Actions, or similar System design thinking — you understand trade-offs and can design for scale GenAI exposure — you've played with LLMs, RAG systems, or embedding models Clean architecture — you write maintainable, testable, SOLID code

Who You Are

• Curious & self-directed — you learn from documentation, StackOverflow, and experimentation
• Systems thinker — you care about how things work, not just that they work
• Collaborative — you give and receive code reviews constructively; you communicate clearly
• Quality-focused — you write tests, consider edge cases, and think about maintainability
• Growth-oriented — you're eager to level up and comfortable working alongside senior engineers

What You'll Learn

• System design & architecture patterns — build scalable systems from first principles
• Cloud-native development — master AWS/Azure and DevOps practices
• Production excellence — monitoring, logging, error handling, and resilience
• Modern AI integration — RAG pipelines, LLM orchestration, and agentic workflows
• Industry best practices — clean code, SOLID principles, design patterns