Software Engineer – Platform / Applied AI (Full-Stack)

Cephas Consultancy Services Private Limited

United States, California, San Francisco

Headcount: 4

Job Details

  • Experience: 0–4 years
  • Salary: Not specified
  • Equity: Competitive equity
  • Visa sponsorship: H-1B, O-1, OPT
  • Employment type: Full-time
  • Work type: In person

Benefits & Perks

  • Generous equity grant, vested over four years
  • 401(k) with employer match
  • Daily lunch and dinner covered
  • Free gym membership
  • Health insurance

About This Role

We are hiring a Platform and Applied AI Engineer to own the core data infrastructure that powers the company’s work with frontier labs. This is a founding-team-adjacent engineering role: you will shape the systems, practices, and architecture that everything else depends on, with direct access to the founders and end-to-end ownership. The scope spans full-stack web surfaces and data pipelines. The company describes its pace as matching a company scaling faster than any other in YC history.

What You’ll Own

  • Build and scale data-capture workflows across web (Next.js) and desktop (Python), owning reliability and throughput end to end.
  • Architect and optimize high-throughput data pipelines for production workloads.
  • Set engineering best practices and lay the architectural groundwork for a growing engineering team.
  • Collaborate directly with the founding team to define product strategy and ship features quickly.
  • Own greenfield infrastructure decisions, including storage, caching, search, and message-queue architecture across the platform.

Requirements

  • Experience at a top university in the US, Canada, or UK; at a top quant firm; or as a founding engineer.
  • Strong coding fundamentals in Node.js/TypeScript, Python, and/or Go.
  • Deep understanding of distributed systems, scalability challenges, and system design.
  • Experience with GCP or AWS, including serverless architecture and cloud functions for heavy data processing; familiarity with Kubernetes, APIs, and NoSQL databases.
  • Ability to reason about trade-offs and balance speed with reliability.
  • Strong communication skills and a bias toward ownership, curiosity, and delivering simple solutions to complex problems.
  • Hands-on experience with Redis, Elasticsearch, and message queues such as Kafka or RabbitMQ.