Obtenez une réponse de cet employeur
Votre CV et votre lettre de motivation, adaptés exactement à ce que l’employeur recherche.
Recruiting from Scratch LLC is seeking a Staff Engineer to join the Submission Processing team. You will own end-to-end design and deployment of scalable AI-powered data pipelines that process billions of unstructured data points daily.
Ideal candidates have 5+ years of software engineering, strong system design skills, and hands-on experience with LLMs, AWS, Python, and PostgreSQL. You will work in a small, impact-driven team with hybrid/remote options.
Recruiting from Scratch is a specialized talent firm dedicated to helping companies build exceptional teams. We partner closely with our clients to deeply understand their needs, then connect them with top-tier candidates who are not only highly skilled but also the right fit for the company’s culture and vision. Our mission is simple: place the best people in the right roles to drive long-term success for both clients and candidates.
https://www.recruitingfromscratch.com/
Location: Remote - United States
Company Stage of Funding: Venture-Backed Growth-Stage Company
Office Type: Remote or Hybrid, New York
We're representing a venture-backed AI company building professional-grade software for the insurance industry. Its platform helps insurers automate and improve critical workflows across underwriting, claims, pricing, operations, and distribution.
The company’s products are already in production with leading insurers, and the team includes talent from companies such as Facebook, Palantir, Google, Amazon, Uber, Mastercard, and McKinsey.
We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff engineer on the Submission Processing team, you'll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team.
You'll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition. We're a small team where individual contributions have an outsized impact on both our technology and our business.