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Open nowPosted 412 days ago

Full-Stack Engineering Intern (Application-Layer AI)

skylarq5 open roles

Where
International
Work mode
Remote
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Your applicationOpen nowFull-Stack Engineering Intern (Application-Layer AI)skylarq · International

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  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 412 days ago

The posting

About Us

Skylarq.ai is a cutting-edge application-layer AI company founded by Y Combinator alumni and serial entrepreneurs from Harvard, McKinsey, Wish.com, Broadcom, and LinkedIn. Backed by a seven-figure round from top Silicon Valley VCs, our team has scaled startups to over $30M raised and built AI infrastructure for a global IPO. Now, we're creating advanced conversational AI agents on WhatsApp to transform real-time business workflows, and building the distributed data platform that discovers and enriches millions of company & people records to power those agents.

Role Summary

This is more than a coding role — you’ll architect, build, and ship high-impact AI products alongside the founding team. Expect full ownership, rapid growth, and the chance to help shape a category-defining company from the ground up.

Key Responsibilities

  • Shape the architecture and technical direction of a fast-moving, application-layer platform.
  • Build product features that measurably improve go-to-market effectiveness for our customers.
  • Ship in tight cycles; measure outcomes and continuously raise the bar on reliability, data quality, and UX.
  • Act like an owner-learn fast, unblock yourself, and set a high standard for speed, quality, and teamwork.
  • Work closely with our research and product teams to bring language, retrieval, and embedding models into production with strong safety and observability.

Requirements

  • Experience building production full-stack applications.
  • Strong Python skills; proficiency with FastAPI, Django, or Flask for RESTful and async APIs.
  • Hands-on experience with React/Next.js and modern TypeScript/JavaScript.
  • Familiarity with distributed systems (Celery, Kafka, PostgreSQL) and data pipelines(Airflow, Spark/Flink).
  • Comfortable with AWS (or similar), Docker, and CI/CD pipelines.
  • Proven ability to deliver customer-impacting features quickly in a startup environment.

Bonus Points

  • Experience orchestrating LLMs with LangChain or OpenAI function calling (multi-agent systems a plus).
  • Background in information retrieval, vector search, or embeddings.
  • Exposure to real-time streaming frameworks (Kafka, Kinesis).
  • Previous startup or founding team experience.
  • Notable open-source contributions or standout personal projects

What You Get

  • Collaborate with top-tier founders and operators (YC alumni, Harvard, McKinsey, LinkedIn, etc.)
  • High-trust, high-autonomy culture with the freedom to innovate
  • Seven-figure funding runway to support bold experimentation
  • Competitive full-time salary (USD), benchmarked against leading startups
  • Remote-friendly and flexible — we hire the best talent, wherever you are
  • Fast track to leadership, deep learning, and a standout résumé

Location

Remote-friendly and flexible — we optimize for the best talent, wherever you are.

Final Note

If you want an ordinary job, this isn’t for you. If you want to build, learn fast, and help shape a meaningful AI company — we’d love to meet you.

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