Website:
aakaarai.com
Job details:
Apply here: https://forms.gle/NUWa3ztgts6vrWA99
Location: India (Remote)
Experience: 6+ years backend and data-heavy experience
Reports to: Founders
ABOUT AAKAAR AI
Aakaar AI is building the self-driving operating system for Amazon sellers and agencies. We combine our own AI-driven software platform with the services we wrap around it to help brands grow on Amazon and beyond. Our AI agents already run advertising optimization, listing and keyword work, inventory management, and profitability reporting for real brands — taking actions every day under strict profitability guardrails.
We are a profitable, customer-funded company managing significant ad spend on behalf of brands worldwide, and growing fast.
ABOUT THE ROLE
We are hiring a Founding Engineer to architect and own the backend and data platform that powers Aakaar AI's agent execution engine, integration layer, and customer-facing applications.
This is an individual contributor role at a tech-lead level. You will not be managing people. You will be making the foundational architectural decisions that determine whether Aakaar AI can scale by an order of magnitude — and writing a lot of the code that gets us there.
If you have spent the last several years building data-heavy backends at growth-stage companies and have been waiting for a chance to own the architecture from the ground up at a profitable startup with real revenue and real ambition, this is that role.
WHAT YOU WILL OWN
- Data ingestion and sync infrastructure. Design and build the systems that pull data from large enterprise commerce APIs into our data layer. This includes handling rate limits, backfills, incremental syncs, schema evolution, retries, idempotency, and reconciliation. The accuracy of every downstream agent depends on this layer being correct.
- Job orchestration and queue systems. Design for at-least-once execution, idempotent retries, observability, and graceful degradation when upstream APIs throttle us.
- Near-real-time data pipelines. Build the pipelines that take high-volume event data, transform it, and make it available to our agents within minutes. This is where the next generation of Aakaar AI's intelligence layer lives.
- Data warehouse and analytics layer. Design the schemas and aggregation layers that power both our customer-facing dashboards and agents. Make multi-million-row queries return in milliseconds. Make the right calls on the OLTP/OLAP boundary.
- Backend architecture decisions. Make the calls on service boundaries, language and framework choices, database design, cloud architecture, authentication and tenancy, observability stack, and CI/CD. Document the tradeoffs. Build for the engineering team we will be in eighteen months, not the team we are today.
WHAT WE ARE LOOKING FOR
- 7+ years of backend engineering experience, with at least three years owning data-heavy systems at production scale. You have built and operated ingestion pipelines, queue systems, or streaming infrastructure that have to be correct, not just fast.
- Deep database expertise. You can design a schema for a financial ledger that has to reconcile to the penny. You know when to denormalize, when to introduce a materialized view, when to reach for a column store, and when Postgres is still the right answer at scale. Comfort with both OLTP and OLAP systems is required.
- Strong API engineering. You have designed APIs that other engineers actually enjoy using. You have thought hard about idempotency, pagination, rate limiting, retries, and versioning. Bonus if you have built or contributed to APIs designed specifically for AI agent consumption.
- Distributed-systems intuition. You have worked with queueing systems, have opinions about exactly-once vs at-least-once semantics, and have debugged a production incident caused by a poisoned queue or a thundering-herd retry.
- Cloud-native engineering on GCP (or AWS with willingness to work primarily on GCP). Comfort with managed compute, pub/sub, object storage, and warehouse-class systems. You have made cost-vs-performance tradeoffs that mattered to a P&L.
- Hands-on experience with LLMs and AI agents in production. This is not a "we use ChatGPT internally" requirement. You have built systems where an LLM makes decisions, calls tools, and writes back to a real database or external API. You have opinions about prompt engineering, context-window management, structured outputs, tool design, evaluations, and what breaks in production.
- Familiarity with agentic frameworks and protocols. You have worked with at least one production agent framework or have built your own agent loop. You understand the tradeoffs between agent-as-orchestrator and pipeline-with-LLM-calls.
- Node.js or Python proficiency for backend services. Our current stack leans Node.js with Python for data and ML; we will not be religious about language choices for new services if you can make the case.
- Managed Postgres experience (Supabase, Cloud SQL, AlloyDB, RDS, or equivalent), including row-level security and auth integration.
- Strong written communication. Founding engineers write. You will write design docs, RFCs, runbooks, and customer-facing technical content. You take that seriously.
- Bias toward shipping. You can ship a v1 in a week and improve it for the next six months. You know the difference between a system that is done and a system that is over-engineered.
BONUS POINTS
- Direct experience with any large enterprise commerce API (Amazon SP-API, Amazon Ads API, Shopify, Walmart, Flipkart, Meta Ads, Google Ads). Anyone who has integrated one of these at scale knows exactly why this is on the list.
- Experience building APIs or servers designed for AI agent consumption, or production work with agentic AI systems.
- Past founding-engineer or first-five-engineer experience at a startup that went from zero to product-market fit.
- Strong frontend chops in React (we have a real product UI, and frontend is bonus but real).
- Experience with financial reconciliation, ledgering, or any system where correctness of dollars-and-cents matters.
- Contributions to open-source data infrastructure, ETL, or agent frameworks.
- Background in e-commerce, ads-tech, seller tools, or marketplace platforms.
WHAT YOU GET
- Direct partnership with the founders on every major technical and product decision. You will not be downstream of a product manager and a tech lead. You will be the tech lead.
- Real customers from day one. We are not pre-revenue. Our customers depend on the systems you will build to manage real ad spend on real accounts every day.
- Permanent remote with flexible hours, plus quarterly in-person offsites.
- The genuine opportunity to define the engineering culture, codebase, and architecture of a company we believe will become the default intelligence layer for Amazon sellers worldwide.
Click on Apply to know more.