KR

๐’๐ž๐ง๐ข๐จ๐ซ ๐€๐ˆ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ โ€” ๐‹๐‹๐Œ ๐€๐ฉ๐ฉ๐ฅ๐ข๐œ๐š๐ญ๐ข๐จ๐ง๐ฌ (๐๐ฒ๐ญ๐ก๐จ๐ง, ๐€๐–๐’ ๐๐ž๐๐ซ๐จ๐œ๐ค, ๐‘๐€๐†, ๐•๐ฎ๐ž.๐ฃ๐ฌ) | ๐‘๐ž๐ฆ๐จ๐ญ๐ž

Hiring from
Pakistan
Work type
Remote
Posted
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We're hiring one engineer to own an AI assistant that's already in use and take it the rest of the way to production.


Teachers use our K-12 platform to plan lessons, assign work, and grade. Our assistant lives inside it: it answers from our curriculum and support content, levels articles to a student's reading grade, generates assessment questions, helps grade, and completes real tasks for teachers with their confirmation. The foundation is built; we need someone to own it and ship.


๐–๐ก๐š๐ญ ๐ฒ๐จ๐ฎ'๐ฅ๐ฅ ๐จ๐ฐ๐ง

- The service end-to-end: Python, FastAPI, and LangGraph agents on AWS Lambda, with streaming

- Model routing on Bedrock (Nova, Claude, gpt-oss), balancing accuracy against cost per turn

- Retrieval: Pinecone hybrid search, OpenAI embeddings, reranking and index sync pipelines

- Evals for routing, retrieval, and answer quality, so every change is backed by numbers

- Safety for schools: Bedrock Guardrails, grounded answers, link allowlists, confirmation before data changes

- The in-app side in Nuxt 3 / Vue 3 / TypeScript, where the assistant reads the page and takes actions. Much of the feature work lands here

- Production: Terraform, CloudWatch alarms, cost tracking, GitLab CI


๐–๐ก๐š๐ญ ๐ฐ๐ž'๐ซ๐ž ๐ฅ๐จ๐จ๐ค๐ข๐ง๐  ๐Ÿ๐จ๐ซ

- 5+ years building production software, strong Python

- 2+ years shipping LLM features to real users (RAG, agents, tool calling)

- Hands-on with a vector database and embeddings, including changing embedding models

- Solid AWS: Lambda, API Gateway, IAM, S3, DynamoDB; Bedrock a big plus

- Strong Vue.js and TypeScript: you'll build much of the frontend yourself

- MongoDB, Terraform, and CI/CD

- Fluent with AI coding tools, and reviews their output as carefully as a colleague's


๐‡๐จ๐ฐ ๐ฐ๐ž ๐ฐ๐จ๐ซ๐ค

- Ownership: when something breaks, you find out why and fix it

- Small, reviewable increments every week, not one big drop a month

- Evidence: measure before you argue

- Say early when something is blocked or slipping

- Try a cheaper model or smaller prompt before a bigger one


๐๐ข๐œ๐ž ๐ญ๐จ ๐ก๐š๐ฏ๐ž

Laravel/PHP (our platform API), EdTech or FERPA/COPPA, LangSmith/Langfuse, LLM eval design, cost and latency optimisation


๐–๐ก๐ฒ ๐ฃ๐จ๐ข๐ง

Real ownership of a product teachers use daily, a modern stack, competitive pay, fully remote.


  • ๐Ÿ“ฉ Apply: https://lnkd.in/dKRG4MYb

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