Egmore Chennai Tamil Nadu Software consulting engineer Jobs – 247 Open Jobs Today

Software Engineer
The Strong AI —Chennai, Tamil Nadu
- ₹5,00,000 - ₹10,00,000 a year
- Remote
- Azure
- DevOps
- System design
- Work from home
- Flexible schedule
Quick apply
7d
Senior Software Engineer -Tableau Developer
CGI —Chennai, Tamil Nadu
- Full-time
- Oracle
- Computer Science
- Databases
Quick apply
4d
Software Engineer with Anthropic Claude
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Java
- AI
- Health insurance
- Paid time off
Associate Software Engineer - Front End Developer
Tecvesten Consulting —Chennai, Tamil Nadu
- Full-time
- AWS
- Analysis skills
- Continuous improvement
Software Engineer, Fullstack
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Azure
- DevOps
- Databases
Quick apply
ServiceNow Developer (FSM & ITSM Module) - Software Engineer
CGI —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Quick apply
5d
Senior Software Engineer with Anthropic Claude
EPAM Systems, Inc. —Chennai, Tamil Nadu
- Java
- AI
- Health insurance
- Paid time off
Software Engineer - Database
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Azure
- SQL
- AI
Quick apply
Associate Software Engineer - Back End Developer
Tecvesten Consulting —Chennai, Tamil Nadu
- Full-time
- Software troubleshooting
- Java
- Analysis skills
Senior Software Engineer - Hybrid (Chennai)
Tensure Consulting —Guindy, Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
- Health insurance
- Paid time off
Custom Software Engineer
Accenture —Chennai, Tamil Nadu
- Full-time
- Agile
EY - GDS Consulting - AIA - AI Engineer- Senior
EY —Chennai, Tamil Nadu
- Azure
- Computer Science
- Master's degree
5d
Senior Golang Software Engineer - Hybrid (Chennai)
Tensure Consulting —Guindy, Chennai, Tamil Nadu
- Full-time
- Computer Science
- AWS
- Bachelor's degree
- Health insurance
- Paid time off
Database Admin (Postgresql ) - Senior Software Engineer
CGI —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Analysis skills
Quick apply
Calling all Software Engineers!
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Machine learning
- AI
Quick apply
ServiceNow Developer (FSM & ITSM Module) - Senior Software Engineer
CGI —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Software troubleshooting
- DevOps
Quick apply
5d
EY - GDS Consulting - AIA - AI Archictect- Manager
EY —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Master's degree
4d
Software Engineer
Interlace India Pvt Ltd —Chennai, Tamil Nadu
- Full-time
- Software troubleshooting
- Java
- SQL
- Health insurance
Quick apply
Senior Software Engineer - .NET Developer
CGI —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
Quick apply
Technical Support Engineer
Desirous Global Consulting —Chennai, Tamil Nadu
- Full-time
- Computer Science
- Software troubleshooting
- B.Sc

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Software Engineer

The Strong AI
Chennai, Tamil Nadu

Quick apply

Job details

Contractual / Temporary
₹5,00,000 - ₹10,00,000 a year
7 days ago

Benefits

Work from home
Flexible schedule

Qualifications

CI/CD
Elasticsearch
Cloud infrastructure
Azure
Node.js
Software Engineering
React
Kubernetes
DevOps
System design
Microservices
AWS
Docker
JavaScript
Next.js
Continuous integration
System development
Network monitoring
Flask
AI
TypeScript
Python

Full job description

The AI is only useful to a client if their people can reach it and if it stays standing. That's your role. You build the applications the client's people actually touch, the copilots and tools that carry our AI work, and you build and run the platform we deliver and operate those systems on. When our work reaches a client's users, it reaches them through your work.

There are two sides to it, and I want to be honest that they're both substantial. On one side, application: clean, fast, well-built software the client's people use in their day and don't have to think about. On the other, platform: the containers, orchestration, cloud, and observability that keep what we deliver reliable and let us see what it's doing, across engagements. The thread between them is the same one that runs through everything here. A demo is easy. Something a client depends on is not, and that's the bar.

The work:

Build the front ends and application backends for the copilots and tools we deliver to clients
Design and run the delivery platform: containerization, orchestration, and cloud infrastructure
Own CI/CD and the platform observability stack so we ship safely and see problems before the client does
Structure services sensibly so each system stays understandable as it grows and hands over cleanly
Keep performance, cost, and security of the platform as first-class concerns, not afterthoughts

Where your work ends. You own the surface and the platform: the applications people use and the infrastructure everything runs on. You don't build the data foundation (Data Engineer), the models (Data Scientist), or what happens inside the models in production (AI Engineer). You provide the reliable ground the other three build and operate on, and the interface the client's people meet.

What success looks like:

The client's people use what you build without friction or training wheels
The platform stays up and shows what it's doing
We ship safely and often, because CI/CD and observability make it safe to
What we deliver can be understood and, when the client wants it, handed over to their own team

The stack we work in today: React, Next.js, and TypeScript on the front end; Python and FastAPI on the application backend; Docker for containerization, Kubernetes for orchestration, and AWS, GCP, or Azure underneath; a microservices approach where it fits; CI/CD pipelines; and observability with ELK, Prometheus, and Grafana. You don't have to arrive knowing every one of these. What you do need is the shared foundation: real software discipline, systems thinking, and enough MLOps awareness to operate what you build and work well with the people whose models run on your platform. You won't own the model lifecycle, but you'll make it possible. In consulting you'll often work close to the client's own engineers, so building things they can understand and take over is part of doing the job well.

About The Strong AI, and how we work

The Strong AI is an end-to-end AI implementation partner. Clients come to us because most organizations can run an AI experiment, but few can turn it into a system their business depends on. We close that gap. We don't hand over slideware or a notebook; we build systems that work inside a client's business, and where they want it, we run them.

You'll work across engagements and industries, on different problems and often different stacks. We're technology-agnostic: the problem and the client's environment choose the tools, so treat any stack we list as the ground we work on today, not a gate.

Across all roles, we ask for the same way of working:

Real software. Tested, reviewed, versioned code the next person, or the client's team, can pick up.
MLOps mindset. A model's life starts at deployment. Monitoring, retraining, drift, and rollback are handled before anything breaks.
Systems thinking. You see both the value slice and the whole it compounds into.
Quality and security, owned by you. Designed in from the first decision, not inspected in at the end. Everyone builds to the highest standard.
Built for handover. Clear code and docs the client's own team can understand, operate, and take over.

Pay: ₹500,000.00 - ₹1,000,000.00 per year

Benefits:

Flexible schedule
Work from home

Application Question(s):

What interests you (in your own words) about working for The Strong AI?

Work Location: Remote

Quick apply

Refine Your Search

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