We are not just building software. We are building AI-native enterprise infrastructure that transforms entire industries.
Every product in our ecosystem is AI-native from day one. You will work with machine learning models, NLP engines, computer.
Work directly with founders who have over 36 years of combined experience at Bank of America, Merrill Lynch, Fidelity.
From ERP and CRM to RFID tracking, exhibition management, chatbots, voice automation, and AR/VR — our ecosystem spans.
Your code runs in manufacturing plants, stone quarries, textile factories, exhibition halls, hospitals, and retail stores.
In a high-growth company with majority referral-driven expansion, every team member gets outsized responsibility. Lead projects,.
Work with SOC 2, ISO 27001, GDPR-compliant infrastructure. Learn enterprise security patterns, scalable architecture.
At Pixel Tech™, AI is not a department — it is the DNA of everything we build. Our engineers work at the frontier.
Build AI engines that automate complex enterprise workflows end-to-end. Our engineers design systems that can read invoices,.
Design and deploy machine learning models that forecast demand, predict equipment failures, identify sales opportunities.
Engineer the intelligence behind Pixel Engage™ (Bots) and Pixel Voice — our conversational AI products that handle customer.
Build visual AI that powers quality inspection in manufacturing plants, product recognition in retail stores, RFID tag scanning.
Architect the data infrastructure that powers AI across the entire Pixel Ecosystem. Build real-time data pipelines, feature.
Create intelligent systems that connect physical and digital worlds through RFID, IoT sensors, and edge computing. You will build.
At Pixel Tech™, every team member operates like a co-founder. We believe in radical ownership where engineers do not just write.
We do not treat AI as a buzzword or an afterthought. Every product decision starts with the question: “How can intelligence.
With 65+ products spanning 10+ industries, you will gain expertise across multiple domains. One month you might be optimizing.
Our unique architecture means every product you build is part of a larger, interconnected ecosystem. This is not modular services.
We offer something no other enterprise technology company can: the breadth of a large consultancy, the speed of a startup.
At Pixel Tech™, our entire business model is built on delivering measurable outcomes. Our “Pay on Milestones Met”.
Here is something remarkable: every single client we serve came through referrals. Zero outbound sales, zero cold calls, zero.
Aman Jain (CEO, 25+ years at BofA/Merrill/Fidelity) and Garima Jain (CTO, 16+ years at Accenture) are not just figureheads.
Most companies claim to be “AI-powered” but really just added a chatbot to their existing product. At Pixel Tech™, AI.
Our unique hub-and-spoke architecture is one of the most sophisticated enterprise platform designs in the industry. At the center.
While most engineers spend their entire career in one domain, Pixel Tech™ engineers gain deep expertise across manufacturing,.
See how a career at Pixel Tech™ compares to working at big tech companies, early-stage startups, and traditional IT consultancies..
| Dimension | Pixel Tech™ | Big Tech | Early-Stage Startup | IT Consultancy |
|---|---|---|---|---|
| AI Integration | AI-native in every product from day one; build custom models, deploy production AI systems | AI in specific teams only; may never touch ML in your role | Limited AI budget; usually consume APIs only | AI as a service add-on; rarely build custom models |
| Ownership Level | Own entire features end-to-end, talk to clients, see real impact within weeks | Own a small component of a massive system; impact is diluted | High ownership but chaotic; wear too many hats with no support | Execute client specs with minimal creative input or ownership |
| Leadership Access | Direct access to founders in code reviews and architecture sessions daily | Multiple layers between you and any decision-maker | Access to founders but they are often distracted by fundraising | Report to project managers; leadership is client-facing only |
| Domain Breadth | 10+ industries, 65+ products; unmatched cross-domain learning | Usually one product, one domain for years | Single product, single market; narrow focus | Multiple clients but usually same type of work across them |
| Career Growth | Clear L1-L5 progression with mentorship; lead products within months | Structured but slow; promotions take 2-4 years per level | Titles grow fast but skills may not; no structured mentorship | Billability-driven promotions; growth tied to client engagements |
| Product Quality | majority referral growth proves product excellence; enterprise-grade standards | High quality but you may work on internal tools nobody sees | Ship fast, fix later; quality often sacrificed for speed | Quality varies by client budget; rarely build long-lived products |
| Tech Stack Exposure | Full-stack plus AI/ML, IoT, RFID, AR/VR, conversational AI, cloud-native | Deep in one stack; hard to switch teams or technologies | Use whatever works; may accumulate tech debt rapidly | Client dictates the stack; often legacy technologies |
| Business Understanding | Client immersion, milestone-based delivery, cross-industry exposure | Disconnected from business; metrics-driven product decisions | Close to business but limited to one market segment | Understand client processes but not product strategy |
| Work-Life Balance | Remote-first, flexible hours, milestone-driven not hours-driven | Generally good but on-call rotations and politics drain energy | Often burnout-inducing; always in crisis mode | Travel-heavy; client deadlines override personal time |
| Long-Term Value | Build AI + enterprise + multi-industry skills that are rare and highly valued | Brand recognition but skills may be narrowly specialized | Equity upside potential but high failure risk; skills may not transfer | Broad exposure but depth is limited; resume becomes generic |
| Innovation Culture | Monthly hack days, weekly AI workshops, experimentation encouraged | Innovation happens but in designated programs with approval processes | Move fast but innovation is reactive, not strategic | Innovation is rare; delivery timelines leave no room for exploration |
| Architecture Exposure | Hub-and-spoke, real-time, distributed systems | Large-scale systems but you see only your small piece | Simple architecture; scale challenges come later if at all | Implement prescribed architectures; rarely design from scratch |
We are always looking for exceptional talent across engineering, AI/ML, product, design, and business functions.
Build and scale products within the Pixel Ecosystem using modern frameworks and cloud-native technologies. Own features.
Design and implement the core platform infrastructure powering the hub-and-spoke architecture. Build APIs, message queues, data.
Create beautiful, responsive user interfaces for enterprise products that delight users. Work on dashboards, data visualization,.
Build cross-platform mobile apps for RFID scanning, field service, inventory management, and sales force automation. Integrate.
Design, build, and maintain the cloud infrastructure powering the entire Pixel Ecosystem. Implement CI/CD pipelines, container.
Build and maintain automated testing frameworks for the Pixel Ecosystem. Design end-to-end test suites, API test harnesses,.
Ensure enterprise-grade security across the Pixel Ecosystem. Implement security controls, conduct penetration testing, manage.
Build and deploy machine learning models for demand forecasting, anomaly detection, recommendation engines, and predictive.
Design and build the intelligence behind Pixel Engage™ (Bots) and Pixel Voice — conversational AI systems handling customer.
Build visual AI for Pixel Reality (AR/VR), quality inspection in manufacturing, document processing, and RFID tag recognition. 2+ years CV experience.
Build the data infrastructure powering AI across the ecosystem — ETL pipelines, data models, feature stores, and real-time.
Build and maintain the machine learning operations infrastructure that takes AI models from experimentation to production.
Push the boundaries of what AI can do for enterprise software. Research and prototype novel approaches to document understanding,.
Own the product roadmap for one or more products in the Pixel Ecosystem. Work with clients, engineers, and founders to define.
Design intuitive interfaces for complex enterprise workflows. Create design systems, prototypes, and user flows for products used.
Create comprehensive documentation for the Pixel Ecosystem — API references, integration guides, user manuals.
Manage complex enterprise implementation projects across multiple products and industries. Coordinate engineering teams, manage.
Design end-to-end enterprise solutions using the Pixel Ecosystem. Conduct discovery sessions, architect integrations, and guide.
Lead end-to-end implementation of the Pixel Ecosystem for enterprise clients across manufacturing, textiles, natural stone,.
Own the post-implementation relationship with enterprise clients. Monitor adoption metrics, identify expansion opportunities,.
Comprehensive health insurance for you and your family. Mental health support, wellness programs, and flexible sick leave policy.
Annual learning allowance for courses, conferences, certifications, and books. Access to premium AI/ML courses, cloud.
Remote-first culture with optional hybrid arrangements. Work from anywhere with flexible hours. We trust you to deliver results, not watch the clock.
Performance-based equity participation for senior roles. As we grow (the majority through referrals), your contribution is recognized.
Latest MacBook Pro or equivalent, external monitors, ergonomic setup, and all software tools you need. We invest in the tools.
Flexible PTO policy with mandatory minimum days off. We believe rested engineers build better products. Plus additional leaves.
Clear progression with mentorship at every level.
| Level | Role | Focus |
|---|---|---|
| L1 | Associate Engineer | Feature development, code quality, learning patterns |
| L2 | Software Engineer | Full feature ownership, code reviews, testing |
| L3 | Senior Engineer | Architecture decisions, mentoring, cross-product work |
| L4 | Staff Engineer | Platform-wide architecture, technical strategy |
| L5 | Principal Engineer | Company-wide technical direction, innovation |
| Level | Role | Focus |
|---|---|---|
| L1 | ML Engineer | Model development, feature engineering |
| L2 | Senior ML Engineer | Model architecture, MLOps, production systems |
| L3 | Lead AI Engineer | AI strategy per product suite, team leadership |
| L4 | AI Architect | Cross-ecosystem AI architecture, research |
| L5 | Head of AI | AI vision, partnerships, industry thought leadership |
| Level | Role | Focus |
|---|---|---|
| M1 | Tech Lead | Team coordination, sprint planning, code quality oversight |
| M2 | Engineering Manager | People management, hiring, performance development, delivery |
| M3 | Senior Engineering Manager | Multi-team oversight, cross-product strategy, process optimization |
| M4 | Director of Engineering | Product suite engineering leadership, organization design |
| M5 | VP of Engineering | Company-wide engineering strategy, culture, and excellence |
| Level | Role | Focus |
|---|---|---|
| C1 | Implementation Consultant | Client deployments, configuration, training |
| C2 | Senior Consultant | Complex implementations, multi-product rollouts |
| C3 | Solutions Architect | Enterprise architecture, integration design, technical pre-sales |
| C4 | Principal Consultant | Industry vertical leadership, strategic advisory |
| C5 | Head of Consulting | Practice leadership, methodology, client portfolio strategy |
These are the non-negotiable principles that guide how we build enterprise AI software at Pixel Tech™. Every engineer.
We measure engineering output by impact, not lines of code. Every feature must meet enterprise-grade quality standards before it.
Before writing a single line of code, we ask: “Can AI make this smarter?” This does not mean forcing AI.
At Pixel Tech™, there is no “throw it over the wall” culture. The engineer who builds a feature owns it.
Every product you build is part of the larger hub-and-spoke architecture. This means designing APIs that other products can.
The AI landscape evolves weekly, enterprise requirements shift quarterly, and new industries present fresh challenges constantly..
We are a data-driven engineering organization. Every feature has success metrics defined before development begins. We instrument.
At Pixel Tech™, your work does not sit behind abstract metrics on a dashboard. It runs in manufacturing plants, stone quarries,.
Build AI-powered production scheduling systems that optimize machine utilization, predictive maintenance models that prevent.
Engineer slab-level inventory tracking systems using RFID technology, build AR product visualization tools that let architects.
Design warehouse automation systems powered by RFID and AI, build demand forecasting models that account for seasonal patterns.
Build the complete digital infrastructure for trade shows and exhibitions — exhibitor management portals, attendee.
Develop patient management systems with AI-powered triage, build compliance-first workflows that meet regulatory requirements,.
Engineer intelligent supply chain systems that predict demand, optimize routing, and automate replenishment. Build point-of-sale.
A transparent, efficient process designed to find great people fast.
Submit your application with resume and a brief note about why you are excited about AI-powered enterprise software. We review.
A 30-minute call with our team to discuss your background, interests, and what you are looking for. We share details.
A practical technical assessment — no whiteboard puzzles. We ask you to solve real-world problems similar to what you would.
Meet with our founders for a culture fit conversation. This is a two-way conversation — we want you to interview us too..
With 25+ years of enterprise technology leadership at Bank of America, Merrill Lynch, and Fidelity Investments, Aman brings deep.
With 16+ years of technology consulting and implementation experience at Accenture, Garima brings unparalleled expertise.
Kick off the week with focused sprint planning. Review milestones, pick up features, and align with the team. Founders join key.
Weekly hands-on AI sessions where the team explores new models, techniques, and use cases. Recent topics: fine-tuning LLMs.
End the week with team demos showcasing what shipped. Celebrate milestones met, share learnings, and recognize outstanding.
Monthly hack days where you can build anything — new product features, internal tools, AI experiments, or creative.
Regular tech talks, lunch-and-learns, and blog writing sessions. Share your expertise, learn from colleagues across different.
Visit client sites to understand how your software runs in real environments — factory floors, exhibition halls, retail.
Comprehensive answers to the most common questions from prospective candidates about life, culture, technology, and career growth at Pixel Tech™.
Learn our story, values, and the vision behind our AI-first enterprise ecosystem. Understand the founding principles that drive.
Explore the 65+ products you could be building across 4 integrated suites. See how ERP, CRM, RFID, chatbots, AR/VR, and analytics.
Discover what makes us different: AI-native products, founder-led culture, milestone-based delivery, and majority referral-driven.
See the 10+ industries where your code will transform real business operations — from manufacturing plants and textile.
Deep dive into our AI and automation capabilities — from intelligent process automation and predictive analytics.
See real-world results from our enterprise deployments. Learn how our AI-powered solutions delivered 40% efficiency gains, 60%.
Understand the hub-and-spoke architecture that connects 65+ products into a unified intelligent enterprise platform. See.
Ready to apply or have questions about a role? Reach out to our team directly. We respond to every inquiry within 48 hours.
Join a founder-led team transforming 10+ industries with AI-native technology. Your next career milestone starts here.