Builder culture
We value people who can turn unclear product problems into working systems, then keep refining them.
Company & Careers
We are building the company behind PairMind.
OmniqAI is a Bengaluru-based, DPIIT-recognized Indian deep-tech company building sovereign AI-native work systems with global ambition.
Our flagship product is PairMind Appliance: the AI-native work-OS appliance where humans and AI teammates work as one team. The work is practical, technical, and unusually broad: real-time voice, AI in meetings, generated UI, memory, knowledge graphs, agent governance, deployment boundaries, and product surfaces that people can use every day.
Founder-led, product-led, dogfood-led.
Udayendra Naidu G founded OmniqAI after years in enterprise security and networking, including RSA and Cisco. He is a 3× patent holder and the daily first user of PairMind.
The company runs on its own product. That matters here. PairMind is not only tested by demos; it is tested by the company's planning, engineering, reviews, bugs, meetings, and operating pressure.
We want people who like that kind of loop. You build the system, then you live with the system, then you make it better because the weakness is no longer theoretical.
High-trust autonomy
The product itself is about governed autonomy. The company culture needs the same: initiative, judgment, and clear escalation.
Dogfooding without theater
We use what we build. Breakage is not hidden. It becomes product input.
Problems worth joining for
These are not landing-page slogans. They are the actual technical lanes behind PairMind.
Real-time AI and voice
AI teammates need to participate in live work, not only respond later in chat.
Agent governance
Autonomy needs contracts: what can act, what must ask, what is denied, and how every action is explained.
Sovereign deployment
Appliance deployments, controlled egress, offline-friendly patterns, and isolated cloud options for customers who need boundaries.
AI-native interfaces
Dashboards cannot cover every workflow. PairMind needs generated UI and presentation surfaces that fit the moment.
Memory and knowledge graphs
AI teammates need to remember decisions, context, people, documents, code, and judgment patterns over time.
Product systems
Chat, calls, docs, git, PM, calendar, business workflows, and 700+ tools built in means product work spans the whole workday.
Who fits
We are looking for people who like hard, concrete, slightly messy deep-tech work.
Builders
You can ship working software, understand tradeoffs, and improve from real usage.
Systems thinkers
You care about how product, infrastructure, security, memory, and UX affect each other.
Calm problem-solvers
You do not need perfect specs before moving, but you do know when to ask for judgment.
Product-minded engineers
You can see the user experience hiding inside technical decisions.
Apply through the Careers Assistant.
Tell us what you have built, what you want to work on, and where you think you can help.
The best applications are specific. Show work, context, and judgment. We care more about what you can build and learn than polished phrases.
Open Careers Assistant