Live opening · Posted 11 days ago

Senior Applied AI Engineer

OWOW · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 11 days ago
CompanyOWOW
LocationIndia (Remote)
Work modeYes
SkillsPython, TypeScript, AWS
SourceLinkedin
ListedPosted 11 days ago

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About the role

Description supplied by the original job listing.

We're looking for a senior engineer to be the hands-on technical lead for our flagship agentic platform.
📍 Remote (3–4 hrs overlap with US Pacific time)
🎯 6+ years experience
👤 Reports to: Founder & CEO
Your first 90 days
Days 1–30: Take technical ownership of our platform, pressure-test the roadmap, run an end-to-end acceptance test and review the bandit/reward setup.
Days 31–60: Close security, tenancy and reliability gaps; own one learning loop end to end; ship phase one of the MCP server.
Days 61–90: Launch the supervised client pilot, ship an improved policy to live traffic behind guardrails, and publish engineering standards, an agent eval framework and a 6-month technical roadmap.
Must-have experience
6+ years building software or ML systems, including 3+ years shipping LLM-powered features to paying customers
Production ownership of bandit or RL systems, including reward design and off-policy evaluation (research or notebooks alone are not enough)
Strong grounding in probability, statistics and experimental design
Experience as a technical lead while staying a hands-on IC: owning architecture, breaking down work, reviewing code (ideally remote, across time zones)
Hands-on Python and TypeScript
Track record of taking systems from "not ready" to production with honest estimates
Clear written English: specs, decision records and status updates
Daily use of AI coding agents, with discipline around testing and reviewing their output
Technical depth we're looking for
Agent architecture (tool-calling, planning, state, human-in-the-loop) · LLM evaluation with CI regression gates · Multi-model routing by cost/latency/quality · Retrieval and context pipelines · Prompt-injection defense and tenant scoping · Real-time streaming AI against p95 targets · Multi-tenant AWS, IaC, CI/CD, observability · OAuth 2.x/OIDC and MCP
Nice to have
Built or operated an MCP server or machine-to-machine APIs
Real-time voice AI: SIP/WebRTC, streaming STT/TTS, latency tuning
Browser SDKs or tags on third-party sites (Shopify apps, WordPress plugins, tag manager templates)
Martech/adtech: CDPs, identity resolution, consent platforms, direct mail
Usage-based metering and billing
TCPA, CCPA/CPRA or GDPR compliance work
Why join us: Small team, direct work with our CEO, and real ownership of the product.

Work arrangement
Yes

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