Real work. From day one.
Engineers today learn AI in fragments - courses, side projects, internal tools. At DTC Infotech, you work on AI systems that run in production, with real data, real users, and real outcomes. You learn by building, observing, and refining what does not hold. At DTC Infotech, AI is what you build with - not what you compete against.
At DTC Infotech, AI is what you build with - not what you compete against.
These are the things any engineer joining DTC Infotech should be able to see for themselves within the first month.
Work here is designed around you, not the other way around. Your strengths, your well-being, and how you think best matter as much as the skills on your CV. If something is not working - a project, a dynamic, or your energy - that conversation happens directly. No managing around it, no waiting for a performance cycle. Boundaries are respected, and your time is treated as a finite, valuable resource.
You will know what the business needs, why a project matters, and where you stand, from the first interview and beyond. Every stage of hiring is clear, every decision is communicated, and if you have a question, it gets answered. That is not a value we claim. It is how decisions are actually made.
The AI systems you will work on run in real production environments where what you build has a real impact. As part of DTC Infotech, you will carry a dual responsibility: to the clients whose operations depend on your work and to the bigger question of how AI should serve people, not the other way around. Governance, explainability, and ethical standards are not an afterthought. They are part of how you will build from the start.
AI moves faster than any curriculum can follow. The way you grow here is by working on problems at the edge of what the field can do, not by being sent on courses that are six months behind the technology. Learning is built into the work because that is the only way it stays relevant.
The best systems are built when different perspectives come together at the point of decision. At DTC Infotech, that is intentional. You will work across disciplines and experience levels, and with clients whose understanding of the problem shapes what gets built. For us, collaboration is part of the engineering process.
Every perspective carries weight - regardless of role, background, or experience. Teams that draw from a wider range of thinking build stronger systems, and that is reflected in how teams are formed.
Work that matters. Problems that hold up under real conditions. Clear expectations, direct feedback, and continuous investment in your capability.
At DTC Infotech, AI is not something you prepare for. It is what you build with.
Customer-first connection and agility and resilience show up in the work itself. Engineers here see how their growth connects to client outcomes and operating reality.
The engineers who will have the strongest careers in the next decade are building production AI systems now - not pilots or proofs of concept, but systems that run under real conditions at enterprise scale. At DTC Infotech, the work is available from the start.
The team is Bangalore-headquartered and globally deployed. The problems are enterprise-scale. The culture is direct. The engineering foundation - including proprietary platforms, established delivery frameworks, and partnerships with Databricks, Camunda, and Rakuten SixthSense - means the work begins at a much higher baseline than most environments.
For experienced engineers, this is the depth of problem-solving that truly stretches you. For those earlier in their careers, it means accelerated exposure to work that usually takes years to access. You grow not by waiting for a 'big project' but by being placed where the stakes are real.
The connection is direct. As your capability grows, so does the quality of what gets delivered to clients: better systems, sharper decisions, more precise execution. These are not separate from career growth - they are the outcome of it.
Markets shift faster than most technology programmes can plan for. The systems built at DTC Infotech are designed for that reality, and the engineers working on them develop a level of resilience and adaptability that is hard to build in more controlled or pilot-driven environments.
Deeper systems, harder production problems, and broader ownership across the stack.
A faster start, structured learning, and meaningful work from your first real project.
You are at your best when you work on something meaningful, and your voice shapes the outcome. Inclusion is something you need to experience, not just read about on a careers page. You want to learn in teams, share ideas openly, and see your perspective shape what gets built. You expect fairness and belonging to show up in who is heard, who gets growth, and how decisions are made.
That is how the environment at DTC Infotech has been built - paired working, cross-team ownership, and a culture where your voice, background, and way of thinking are part of how the work gets done. If you are looking for a place where you grow into an engineer who works on real AI systems, builds with others, and belongs from the first week, this is that place.
Every interaction in the DTC Infotech hiring process happens through official channels. No fees, no intermediaries, and no ambiguity about where an offer is coming from or what it means. You will know where you stand at every stage, and every decision gets communicated - not just the ones that go your way.
All open roles are posted at dtcinfotech.com/careers and through official DTC Infotech channels. If you receive an approach that claims to be from DTC Infotech but comes through an unofficial channel, it is not from us.
Clear guidelines, defined ethical standards, and a human in the loop wherever the consequences of an error matter. Governance and explainability are built into the delivery model from the start, not added at the end when something goes wrong. At DTC Infotech, AI is a tool that engineers operate. It does not operate independently of the people accountable for the output.
Mostly through the work itself. The systems being built here are at the edge of what the field can do, and no one is expected to figure that out alone. There is structured onboarding, active knowledge sharing across teams, and access to the platform and technology infrastructure that make complex work tractable. Keeping pace with AI development is a shared responsibility - and the business takes that seriously.
Hire-Train-Deploy for engineers joining from campus. Continuous reskilling tied to the actual technologies the team is building on - Databricks, Azure, Camunda, and partner certifications. The learning here follows the work, so it stays current rather than trailing the field by a year.
By naming it early and building governance frameworks designed for real operating conditions, not ideal ones. New technology goes through a structured evaluation before it reaches production. The people accountable for the outcome are the same people who assessed the risk - there is no separation between the decision and the consequence.
If you do not see a role that fits but believe you belong here, write to us directly at careers@dtcinfotech.com
4-7 years exp.
3-6 years exp.
3-5 years exp.
3-6 years exp.
Real systems. Real impact. From day one.
