Job Description & How to Apply Below
Pay: 45 LPA (20 Base)
· Remote (India-based)
· US Hours
· 5 days/week
Note:
You will own production AI systems end-to-end: agent orchestration, prompt systems, evaluations, product POCs, customer deliverables, and production feature launches. This role is designed for someone with a strong owner mindset who can work independently, perform under pressure, and deliver on tight deadlines with almost no support. If you’re a growth-minded builder, indie hacker, or cracked engineer who likes shipping fast and taking full ownership, please apply.
About Us We’re an AI agentic learning startup based in San Francisco and Toronto , transforming how the world learns. Our platform doesn’t just stream videos—it talks back , remembers, questions, adapts, and drives 10x better retention . Picture a real-time Zoom session with your smartest teacher—except it’s fully powered by AI.
We’re backed by top-tier investors and built by a team from IIT, Microsoft, Amazon, Bain, and Goldman Sachs . If you're excited to shape zero-to-one AI products, ship fast, and build systems learners love , you’ll fit right in.
What We’re Looking For 2–5 years of hands-on coding experience in Python and/or JavaScript/Type Script , with strong ability to independently debug, ship, and maintain production systems.
Deep practical experience building with LLMs, AI agents, tool use, workflows, orchestration systems, prompt pipelines, and evaluations .
Strong understanding of agent reliability : prompt design, context management, structured outputs, tool calling, memory, retries, fallbacks, guardrails, and evals.
Experience using or building with agent skills / tool abstractions / workflow systems extensively in production.
Comfortable owning large model orchestration stacks , including routing across models/providers, latency/cost tradeoffs, failure handling, and observability.
Strong product instincts—you do not just write code, you build systems that create user value.
Proven ability to create and ship quickly —you’ve built prototypes, launched features, improved workflows, and iterated fast based on real usage.
A track record of quantifiable outcomes —better reliability, reduced latency/cost, higher conversion, improved retention, or faster delivery.
Nice to have: published AI/ML research , strong open-source contributions, a Git Hub with meaningful traction/stars , or experience at a high-functioning startup / Series A environment .
Available to join soon . We’re scaling quickly.
What You’ll Do Build and maintain AI agents in production : design, ship, and improve agent workflows that power learning experiences and internal operations.
Own orchestration end-to-end : prompts, tools, skills, routing logic, memory, evals, monitoring, and fallback strategies.
Design robust prompting systems : create and maintain prompt libraries, structured instructions, reusable patterns, and testing workflows.
Run evaluations continuously : build eval datasets, define success metrics, analyze failures, and improve agent quality over time.
Ship product features directly : work across backend, frontend, and AI layers to launch user-facing functionality fast.
Debug everything : model failures, flaky agent behavior, broken tool usage, poor outputs, UI bugs, workflow bottlenecks, or edge-case regressions.
Improve speed, reliability, and cost across our AI stack.
Collaborate tightly with product, design, and learning teams to build experiences that feel intelligent, polished, and human.
Move fast with ownership : if something is broken, unclear, or missing, you fix it.
Who You Are An engineer first —you are deeply hands-on and love coding.
A builder/hacker who can go from idea to shipped system without waiting for perfect specs.
Someone who is obsessed with AI quality , not just demos—reliability, evals, edge cases, and production behavior matter to you.
A growth-minded operator who cares about shipping things that actually move user and business metrics.
Comfortable doing whatever the moment requires: prompt tuning, writing backend logic, fixing frontend issues,…
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