AI Senior Fullstack Engineer at Contentsquare

AI Senior Fullstack Engineer at Contentsquare – New York, New York

Contentsquare is the all‑in‑one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.

We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further. Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate.

We are looking for applicants with a minimum of 8 years of software engineering experience, with a particular background in Type Script. While we are building software on top of LLMs, this is not a machine‑learning role.

As a Senior Fullstack Engineer (Applied AI), you will work on a variety of product initiatives that leverage the latest in AI, particularly Large Language Models (LLMs). One example project is extending our AI CoPilot product to more surfaces, allowing users without expertise in product or digital experience analytics to answer their questions simply by asking them. You will focus on product development and early iteration;

for instance, engineers participate in user interviews as we validate product hypotheses.

This is an exciting opportunity to work in a “startup within the startup.” We move quickly from idea to proof of concept to interview to product, ensuring that what we build provides actual value to our customers. As LLMs and related technologies evolve rapidly, we are enthusiastic about new ideas and libraries but discerning about what we build.

We’re a distributed team that operates across the US and Europe and are open to hiring the right person anywhere within the US East Coast time zone or Europe.

• Desire to work in a fast‑paced development environment where the customer is in the loop. We prefer to fail fast and iterate rather than learn too late that we’ve built the wrong thing.
• Extensive full‑stack web application development experience (8+ years), preferably in a data‑related industry.
• Strong opinions, weakly held, about how to evaluate the performance of an LLM‑based application.
• Experience bringing an application built on top of LLMs from inception to market.
• Ability to iterate and prototype rapidly to answer data‑related questions using LLMs (and other ML when appropriate).
• Awareness of what LLMs are good at, what they’re not good at, and how to navigate this.
• Familiarity with various LLM providers and their relative trade‑offs.
• Familiarity with a variety of LLM models and their relative trade‑offs.
• Our product tech stack is primarily Type Script, with a variety of front‑end frameworks (React, Vue, etc.).

• Virtual onboarding, hackathon, and various opportunities to interact with your team and global colleagues both on‑ and off‑site each year.
• Work flexibility: hybrid and remote work policies.
• Generous paid time‑off policy (every location is different).
• Immediate eligibility for birthing and non‑birthing parental leave.
• Well‑being and home office allowances.
• A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work.
• Every full‑time employee receives stock options, allowing them to share in the company’s success.
• Multiple Employee Resource Groups that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts.
• Other benefits tailored to each country.

Contentsquare is an equal‑opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

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