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.
