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AI is changing how software gets built. But turning AI into something reliable, scalable, and production-ready still comes down to engineering.
At RSI, we work at that intersection every day, combining AI capabilities with deep engineering expertise to build systems that solve real business problems at scale.
And because the space is evolving fast, your role evolves with it — giving you the opportunity to work on the next generation of AI-powered systems, alongside teams that are actively shaping how AI gets engineered into the real world.
The core of how we build AI here is EXIQO - the AI Studio from RSI.
Inside EXIQO, engineers work with:
• AI-native engineering teams (yes, people + AI working together daily) of 1,400+ AI-validated practitioners.
• Our own OptimaAI ecosystem of 150+ digital agents, reusable accelerators, and structured AI engineering methodologies.
• Built-in governance (so things don’t go rogue)
• Human-in-the-loop systems (because blind automation ≠ smart automation)
What that means for you:
• You ship faster without chaos
• You build AI that actually reaches production
• You work with clear ownership and measurable outcomes
• You grow in a certified AI practitioner community through continuous learning, certifications, mentorship, and hands-on delivery.
If you’ve explored AI before, you already know:
Most projects look great in demos… and fail in real life.
EXIQO is designed to close that gap.
Growth here doesn’t come from theory, it comes from the kind of problems you get to solve.
Projects are where most learning happens:
Picking up new AI frameworks while building live systems
Moving from individual contributor to leading parts of a solution
Handling real-world challenges, transforming, and scaling
Real experiences from engineers: what they worked on, what surprised them, what they learned.
Turning Points for Growth (Career Milestones)
Moments that changed the trajectory: first major deployment, leading a module, stepping into ownership.
CoE – Sustainable AI at IIT Delhi
Through our Center of Excellence (CoE) in collaboration with IIT Delhi on Sustainable AI, young engineers get exposure to how real AI systems are built with responsibility at the core.
This is where research meets practice — where ideas around efficiency, governance, and responsible AI are explored alongside real engineering challenges. For young engineers and students, it’s a chance to learn how AI is designed not just to perform, but to last — balancing scale, sustainability, and impact in real-world systems.
External validation matters but only if it reflects real work.
Among other prominent awards, we’ve been recognized in the AIICONIC Awards 2026 for the Best Use of AI in Manufacturing, as Leader in Everest Group’s Software Product Engineering Services for Mid-market Enterprises PEAK Matrix® Assessment 2025, and Great Place To Work in 6 countries where we have offices.
These are outcomes of the work, not the goal itself.
The work is ambitious and fast-moving but teams are given the autonomy, collaboration, and support needed to build sustainably.
The culture here is less about rigid hierarchies and more about shared problem-solving, continuous learning, and engineers helping engineers grow.
Celebrating project milestones, launches, and engineering wins together
Participating in community and social support initiatives that create impact beyond project work
Or just informal moments that break the routine and recharge fast-moving teams
It’s a mix of focused work and a culture that doesn’t feel overly rigid.
Our internship program - RSI Programming Academy - is designed to give real exposure to modern software and AI engineering environments. Interns work alongside experienced teams, contribute to live projects, and build practical skills that translate directly into production environments
Contribute to live engineering and AI initiatives alongside delivery teams
Learn from engineers building enterprise-scale systems in production
Gain exposure to modern engineering practices, AI workflows, collaboration models, and delivery environments
For many, it becomes a natural transition into full-time roles with us.
If you’re looking to work on AI that goes beyond demos, this is where it gets interesting.
You’ll have the space to build, the support to grow, and the kind of problems that push you.