Senior/Staff Software Engineer

Job not on LinkedIn

🕒 April 8

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AI Talent Now, LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2024

🎯 Recruiter

🤖 Artificial Intelligence

🤝 B2B

Recruitment • Artificial Intelligence • B2B

AI Talent Now is a relationship-driven recruiting firm that connects top IT, engineering, and artificial intelligence talent with organizations seeking those skills. The company positions itself as a specialized staffing partner focused on AI and technical roles, emphasizing direct human conversations ("No bots. No queues. ") and career growth for candidates as well as project success for employers. Services appear targeted at employers and candidates, operating as a recruiting/staffing agency and talent marketplace with a focus on AI expertise.

📋 Description

• Ship code to production on the first day • Architect, build, and launch complex, multi-step AI agents for digitizing customers' operational workflows • Integrate with third-party lending-services APIs to generate documents and disclosures, produce automated underwriting results, and prevent fraud • Architect, build, and launch job-processing infrastructure on AWS to improve backend observability and reliability • Develop full-stack web application features from design through deployment • Design and scale complex relational database schemas • Build reliable, observable, low-toil infrastructure • Collaborate with and mentor less senior engineers

🎯 Requirements

• 7–25 years of experience as a Staff/Senior Software Engineer developing full-stack web applications from design through deployment • Minimum 5 years as a Senior-level engineer • Experience at a technology company where software was the product • Experience at high-growth technology startups or companies, including VC-backed companies or FAANG • Experience designing and scaling complex relational database schemas • Fintech company experience • Strong proficiency in TypeScript, with recent hands-on examples of complex systems/products • Experience scaling high-throughput distributed systems in the cloud with AWS and Terraform • Experience with React, Node/Express running inside Docker, GraphQL/Apollo, and Postgres • Familiarity with modern AI product development lifecycles, including evaluations, experiment design, and dataset curation • SRE-oriented mindset focused on reliable, observable, low-toil infrastructure • Security awareness for protecting sensitive personal data • Product-oriented approach • Ability to develop readable, maintainable, effective software architecture patterns • Ability and interest in mentoring less senior engineers

🏖️ Benefits

• Equity • Competitive salary