Senior Software Engineer #DFL

AI overview

Contribute to the pioneering of AI technology that helps large corporations integrate advanced research while developing scalable and production-ready systems.

#SWE-DFL

Our client, a software company specializing in deploying large language models (LLMs) for enterprises and refining these models using sensitive data, recently disclosed raising $15.1 million in a Series A funding round. This funding was co-led by investment firms Canapi Ventures and Nexus Venture Partners. Additionally, Formus Capital and Soma Capital participated in this funding round, contributing to a total raised amount of $19.3 million for our client.


Mission:

  • Assist our client in prioritizing AI development with a focus on privacy, personalization, and real-world constraints.

  • Merge advanced technology with strong product ownership to aid large corporations in integrating cutting-edge research into their AI offerings.

  • Join if you:

    • Strive to create superior, faster, and aesthetically appealing products, outperforming competitors.

    • Desire to pioneer new technology and contribute to groundbreaking advancements.

    • Thrive in a dynamic team environment, aiming to make a noticeable impact on end customers within a rapidly growing startup.

Responsibilities:

  • Develop atop a complex array of distributed systems and contribute to a large-scale, production-ready API for our client.

  • Take ownership of the product, from initial groundwork to refining the final details.

  • Directly deploy software into customer cloud environments.

  • Acquire an in-depth understanding of our client's product suite for effective communication, maintenance, and expansion.

Expectations:

  • Possess 3+ years of professional experience using NodeJS, Typescript, and Python.

  • Demonstrate proficiency in building production-grade, self-hosted software.

  • Familiarity with Kubernetes and applications in containers.

  • Understanding of security best practices when handling sensitive data (PII), SOC2, and GDPR compliance.

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