Live opening · Posted 3 days ago

SDE 3 (Backend & Agentic Systems)

Posha · Bengaluru, Karnataka, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyPosha
LocationBengaluru, Karnataka, India (On-site)
Work modeNo
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

📌About Us
Posha is building robot kitchens for the future.
Our first product, the Posha Countertop was recognized as one of TIME’s Best Inventions of 2025 and received rave reviews from The Verge and WIRED for bringing robotics and AI into everyday kitchens.
We’re a fast-growing Series A–funded startup backed by Accel Partners and we’re just getting started.
See it in action: https://youtu.be/Ubd6NkZOEkM?si=SFex-isehKHzvZs_
🤔What can I expect from this role?
The SDE 3 role involves working across Posha's core autonomous cooking stack - the Recipe Engine, the Cloud Infra that powers autonomous cooking of 1000s of recipes.
🔧What will my work responsibilities look like if I join Posha?
As SDE-3, you will be at the center of working on the core backend systems that power our fleet of autonomous robots:
Design & Implementation
You will be designing and architecting complex features related to autonomy, data logging and reliability by building HLDs and LLDs.
You will be building the core Recipe Engine stack that powers the autonomous cooking functions of the robot.
AI Systems
Agentic systems power core internal workflows around recipe creation, feedback analysis as well as for coding.
You will build the code-intelligence backbone for our agents: AST chunking, LLM graph extraction, and hybrid retrieval (BM25 + graph + rerank) over our codebase via Cognee.
You will push the levers that matter — chunking, embeddings, and retrieval accuracy — with a benchmark-driven, eval-first approach.
😍 What makes you a match for us?
Excellent in HLDs, LLDs, SOLID Design Principles
Experience shipping production LLM/agent systems — RAG, retrieval pipelines, and agent loops (MCP, tool-calling), not just API wrappers.
Strong on the retrieval data layer — vector and graph databases, chunking, embeddings, and hybrid retrieval; understands that ingestion and chunking quality is the lever for accuracy.
🚀 What The World Thinks of Posha
Posha is comparable to Tesla FSD
“Posha is a fairly good sign that the future is closer than I thought” - The Verge
Posha’s tagline is “See dinner cook itself, and it largely lives up to this.” - WIRED
Why Posha?
Few organizations offer challenges similar to ours. Building completely autonomous cooking robots requires thinking from first principles and building from ground up.
We believe that Posha is a generational company with the opportunity to alter the trajectory of how food is cooked inside homes today. This opportunity is parallel to how autonomous cars have made an impact.
This role will be at the forefront of this opportunity.

Work arrangement
No

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