Software Engineer - Applied AI

Basic Capital

• $100K — $150K *
New York, NY 10025In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in full-stack development
  • Strong expertise in web frameworks and backend systems
  • Proficient in cloud infrastructure technologies
  • Familiarity with programming languages such as Kotlin, Swift, Rust, Java, Go, C/C++, Python, Ruby, or TypeScript
  • Experience with AI/ML integration in applications preferred

Responsibilities

  • Ship full-stack AI projects from inception to completion
  • Build components essential for AI infrastructure
  • Focus on fine-tuning and evaluation processes
  • Develop and enhance engineering systems to scale AI products at Basic Capital

Benefits

  • Opportunity to work on impactful AI projects
  • Collaborative work environment within a passionate team
  • Involvement in both frontend and backend technologies
  • Possibility to contribute to social problem-solving initiatives
  • Learning opportunities with new technologies
  • In-office work promoting team collaboration
Full Job Description
You will
  • Ship full-stack AI projects end-to-end
  • Build components for AI infrastructure, harness fine-tuning, and evaluation
  • Develop and improve engineering processes and systems to scale AI products at Basic Capital


Required Competencies:
  • Proficiency in full-stack development, with a strong understanding of web frameworks, backend systems, and cloud infrastructure
  • Proficiency in any of the following: Kotlin, Swift, Rust, Java, Go, C/C++, Python, Ruby, or TypeScript

Preferred Competencies
  • Experience in fintech or early-stage technology companies
  • Experience building and deploying agentic systems and embedding AI/ML in user-facing applications


Cultural Fit
  • Passionate about solving big social problems with pragmatic solutions
  • Aptitude for complexity and curiosity for financial markets
  • Enjoys learning new technologies and selecting the right tool for each job
  • Adaptable and open to contributing across the tech stack as the team evolves
  • Autonomous, high agency, accountable, and thrives in a fast-paced environment
  • Strong collaboration and communication skills, working effectively in cross-functional teams
  • Excited to be a part of an in-office team
* Ladders Estimates

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