# Platform Engineer

**Company:** [Weekday AI](http://jobs.workable.com/companies/pxG9rDgnvZm2c86JUchT1j.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Weekday's Client via platform

[Apply for this job](http://jobs.workable.com/view/5a4c38f1-02a5-44cd-868d-aa267bf200dc)

## Description

**This role is for one of the Weekday's clients**

**Salary range: Rs 2500000 - Rs 5000000 (ie INR 25 - 50 LPA)**

Min Experience: 5+ years

Location: India, Remote (India)  
JobType: full-time

This is a senior, foundational engineering role. The architecture, standards, and systems built now are the ones the rest of the company will be built on. You'll operate with full autonomy — in a team this small, your judgment directly shapes the product, the codebase, and the company's trajectory.

## Requirements

**Responsibilities**

  
• Architect and build the core backend and platform from the ground up — the foundational systems everything else  
depends on.  
• Design and ship LLM agents that reason over large, messy, real-world organizational data, and make them reliable  
enough to trust.  
• Make the foundational calls — architecture, infrastructure, data, tooling — and set the bar for engineering quality on  
the team.  
• Operate with full autonomy, owning problems end to end in a small, high-leverage team.  

**Must-Haves**

  
• Years of experience building and operating backend and platform systems at real scale — the person your team  
turned to for the hardest problems.  
• Deep expertise in Python, distributed/platform systems, API design, and SQL data stores; comfortable owning systems  
end to end, from design through production.

• A track record of leading ambiguous, high-impact projects end to end — setting technical direction, not just executing  
against someone else's.  
• Hands-on experience (or strong, fast-forming intuition) with LLMs, agentic frameworks, and RAG, with a feel for  
building dependable products on top of nondeterministic models.  
• Genuine excitement for the scope, pace, and consequence of an early-stage company over the structure of a large  
one.  
• Has owned and operated systems at meaningful scale at a strong engineering org — Staff / Senior Staff /  
Principal-level scope, even if the title varies. Scope and impact matter more than tenure or a year count.  
• Example signal: Staff/Senior/Principal at Databricks, Snowflake, Google, Meta, Amazon, OpenAI, Anthropic, Stripe,  
Notion, Ramp, Scale AI — or an early/senior founding engineer at a reputable VC-backed startup.  
• Most experience should come from fast-moving tech environments, not banks/financial companies, slow-moving  
non-tech, telecom, or transportation/government.  
• Has been a technical anchor — sets direction, makes the hard architectural calls, and unblocks others.  
• High drive for problem-solving, with a deep, first-principles approach to any challenge taken on.  
• Strong agency and independence — comfortable defining the problem as well as solving it.  
• Genuinely excited (not just willing) to work in a fast-paced, high-ownership, early-stage environment.  
• Backend depth — building robust production systems, APIs, and Python — is important.  

**Nice to Have**

  
• Previous founder, founding-member, or entrepreneur experience.  
• Drawn to new, ambiguous problems with no clear solution.  
• Fluent with AI tools for research and writing high-quality code.  
• Experience with LLMs, AI agents, and making sense of large or heterogeneous data.  
• An obsession with details and strong product sense.  
• Strong written and verbal communication.  

**What We're Looking For (Screening Snapshot)**

  
• 5+ years of experience at the Staff / Senior Staff / Principal level.  
• Was operating at a senior level even before AI-assisted coding tools became standard.  
• 3–5 years at a high-bar software engineering company (e.g., FAANG, Ramp, or similar).  
• Some startup experience is ideal, though not required.  
• Excellent communication skills.