Founding Architect / Engineering Lead
- Location- Hyderabad (On-site)
- Company- ADOSX Tech
- Experience-6–8 Years
- Employment Type- Full-Time (with the risk appetite for working in a startup)
Own:Own the hardest part, the technical foundations of ADOSX—from data integrations and reconciliation engines to AI grounding, multi-tenant architecture, and event-driven systems.
About ADOSX
The future of automotive retail will not be software-enabled—it will be intelligence-driven and increasingly autonomous.
ADOSX is building a world-class AI-native operating system for automotive retail in India, combining agentic workflows, unified data platforms, and real-time intelligence into a single platform that helps auto-retail operate smarter, faster, and more profitably.
We’re currently a four-member founding team—working directly with customers and building from idea to MVP. Backed by strategic investors from the automotive dealership ecosystem, our ambition is to redefine auto-tech space in the next five years.
"This is not a 9-to-5 job. This is a builder's journey."
Joining ADOSX is closer to building a company than joining one. You’ll work directly with founders, own products end-to-end, and experience both the 0→1 and 1→100 journeys while helping shape technology, culture, and customer outcomes.
We believe in high ownership, customer obsession, curiosity, bias for action, and having the courage to challenge assumptions. We value builders over titles and outcomes over hierarchy.
"The truth is that early-stage startups are hard."
But there will also be extraordinary learning, genuine ownership, and the opportunity to create something that outlasts us.
"Many people learn more in two years at a company like ADOSX than in ten years elsewhere."
If you want to help redefine how an entire industry operates, we’d love to build ADOSX together.
The Role
As the first full-time technical leader at ADOSX, you will build the foundations that future teams inherit. You’ll work directly with founders and the CTO to define the platform, engineering culture, and technical standards for an AI-native automotive operating system.
On a four-person team, that means setting architecture and writing the load-bearing code. This is a hands-on leadership role—not a manager who delegates difficult problems.
You own the parts of the system where mistakes are expensive or irreversible:
The data reconciliation engine that powers core workflows.
The AI grounding layer that must never invent business numbers.
The integrations that bring dealership data into the platform.
Multi-tenant isolation, security, and auditability.
The standards for AI-native software development.
You’ll spend time inside dealerships, work closely with customers, and build systems grounded in operational reality—not assumptions.
Over time, you’ll help shape engineering culture, support technical hiring, and grow into broader leadership responsibilities as the team scales.
What You'll Own
Data Access & Integrations
Build lawful, reliable, and version-stable mechanisms to extract data from existing systems.
Work with customers and upstream system owners to solve integration challenges.
Handle heterogeneous schemas and data formats.
Create configuration-driven onboarding instead of code-driven implementations.
The Reconciliation Engine
Design confidence-based reconciliation across multiple source systems.
Detect confidently wrong matches—not just unmatched records.
Own exception handling, auditing, and measurable accuracy.
The AI Grounding Layer
Build constrained-query systems over free-form generation.
Implement RAG, trace enforcement, and explainable outputs.
Ensure every business number is verifiable.
Treat “I can’t answer that” as a feature, not a failure.
Multi-Tenant Foundations
PostgreSQL Row-Level Security as the primary isolation mechanism.
Cross-tenant leakage testing in CI.
RBAC, audit trails, and data-protection foundations.
Event-Driven Architecture
Celery-based event flows.
Canonical data models.
Configurable integration patterns that keep onboarding a new dealer are a matter of configuration, not code.
AI-Native Engineering Practices
Define how the team uses AI coding agents.
Establish review standards and guardrails for AI-generated code.
Increase engineering leverage without compromising quality, correctness, or security.
Technical Leadership
Set conventions for code structure, API design, and testing.
Support junior engineers in owning features end-to-end.
Help shape engineering culture and future hiring practices.
What We're Looking For
Around 8 years of experience building production systems.
Deep expertise in Python, Django, DRF, Celery, and PostgreSQL.
Experience managing ORM migrations under changing schemas.
Strong experience integrating messy external systems and reconciling data.
Practical LLM and RAG experience, with healthy skepticism toward model outputs.
PostgreSQL depth, including Row-Level Security, performance optimization, and multi-tenant patterns.
Pragmatic thinking about scale—knowing when a modular monolith and simple queues are the right choices.
Experience building with AI coding agents and establishing a team around them.
The judgment to challenge unrealistic timelines, scope, or technical assumptions.
Nice to Have
Fintech-grade or data-heavy reconciliation systems.
Enterprise or legacy system integrations.
Familiarity with ISO 27001, DPDPA, or related security practices.
Working knowledge of Next.js and React.
You'll Thrive Here If
You love ambiguity more than certainty.
You prefer ownership over instructions.
You think in systems, not tickets.
You enjoy getting your hands dirty with customers.
You learn by building rather than waiting.
You use AI as leverage, not as a substitute for judgment.
You want both the 0→1 and 1→100 journeys.
The Hard Truth
Early-stage startups are hard.
There will be ambiguity, changing priorities, and periods of intense execution because building from zero demands it.
But you’ll own products end-to-end, work directly with founders and customers, and likely learn more in two years than many engineers do in ten.
If building the intelligence layer for Indian automotive retail excites you more than maintaining systems someone else designed, we’d love to build ADOSX together.
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